ORCID Profile
0000-0002-6466-4346
Current Organisation
The University of Newcastle
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Simulation And Modelling | Mineral Processing/Beneficiation | Interdisciplinary Engineering Not Elsewhere Classified | Mechanical Engineering | Numerical Modelling and Mechanical Characterisation | Interdisciplinary Engineering | Mechanical Engineering not elsewhere classified | Computer Vision
ANZSRC Socio-Economic Objective (SEO)
Management and productivity issues not elsewhere classified | Mining Machinery and Equipment | First Stage Treatment of Ores and Minerals not elsewhere classified | Integrated systems | Air transport |
Related Links
Publications
Numerical prediction on abrasive wear reduction of bulk solids handling equipment using bionic design
Publisher: Informa UK Limited
Date: 17-08-2019
Towards Quality-aware Control of Perishable Goods in Synchromodal Transport Networks
Publisher: Elsevier BV
Date: 2016
Comparative analysis of fuzzy multi-criteria decision making methods for selecting sustainable battery suppliers of battery swapping station
Publisher: Informa UK Limited
Date: 25-09-2023
Service network design for an intermodal container network with flexible transit times and the possibility of using subcontracted transport
Publisher: Inderscience Publishers
Date: 2015
Closed-loop coordination of inland vessels operations in large seaports using hybrid logic-based benders decomposition
Publisher: Elsevier BV
Date: 2017
Evaluation of the influential parameters contributing to the reconstruction of railway wheel defect signals
Publisher: SAGE Publications
Date: 23-10-2019
Abstract: A wheel impact load detector is used to assess the condition of a railway wheel by measuring the dynamic forces generated by defects. This system normally measures the impact force at multiple points by exploiting multiple sensors to collect s les from different portions of the wheel circumference. The outputs of the sensors are used to estimate the dynamic force as the main indicator for detecting the presence of the defect. This method fails to identify the defect type and its severity. Recently, a data fusion method has been developed to reconstruct the wheel defect signal from the wheel–rail contact signals measured by multiple wayside sensors. The reconstructed defect signal can be influenced by different parameters such as train velocity, axle load, number of sensors, and wheel diameter. This paper aims to carry out a parametric study to investigate the influence of these parameters. For this purpose, VI-Rail is used to simulate the wheel–rail interaction and provide the required data. Then, the developed fusion method is exploited to reconstruct the defect signal from the simulated data. This study provides a detailed insight into the effects of the influential parameters by investigating the variation of the reconstructed defect signals.
An autonomous vehicle interference-free scheduling approach on bidirectional paths in a robotic mobile fulfillment system
Publisher: Elsevier BV
Date: 09-2021
Method for detecting damage in carbon-fibre reinforced plastic-steel structures based on eddy current pulsed thermography
Publisher: Informa UK Limited
Date: 05-12-2018
Residual ultimate strength of offshore metallic pipelines with structural damage – a literature review
Publisher: Informa UK Limited
Date: 04-04-2017
Simulation-based operational control of a dry bulk terminal
Publisher: IEEE
Date: 04-2012
An application of the IoT in belt conveyor systems
Publisher: Springer International Publishing
Date: 2016
Agent-based intelligent monitoring in large-scale continuous material transport
Publisher: IEEE
Date: 04-2012
Experimental investigation of residual ultimate strength of damaged metallic pipelines
Publisher: ASME International
Date: 13-08-2019
DOI: 10.1115/1.4040974
Abstract: The ultimate strength of metallic pipelines will be inevitably affected when they have suffered from structural damage after mechanical interference. The present experiments aim to investigate the residual ultimate bending strength of metallic pipes with structural damage based on large-scale pipe tests. Artificial damage, such as a dent, metal loss, a crack, and combinations thereof, is introduced to the pipe surface in advance. Four-point bending tests are performed to investigate the structural behavior of metallic pipes in terms of bending moment–curvature diagrams, failure modes, bending capacity, and critical bending curvatures. Test results show that the occurrence of structural damage on the pipe compression side reduces the bending capacity significantly. Only a slight effect has been observed for pipes with damage on the tensile side as long as no fracture failure appears. The possible causes that have introduced experimental errors are presented and discussed. The test data obtained in this paper can be used to further quantify damage effects on bending capacity of seamless pipes with similar D/t ratios. The comparison results in this paper can facilitate the structural integrity design as well as the maintenance of damaged pipes when mechanical interference happens during the service life of pipelines.
Hybrid model predictive control for equipment in an automated container terminal
Publisher: IEEE
Date: 04-2013
Micro-macro properties of quartz sand: Experimental investigation and DEM simulation
Publisher: Elsevier BV
Date: 2015
Energy efficient use of belt conveyors in baggage handling systems
Publisher: IEEE
Date: 04-2012
Optimizing preventive maintenance policy: A data-driven application for a light rail braking system
Publisher: SAGE Publications
Date: 19-06-2017
Abstract: This article presents a case study determining the optimal preventive maintenance policy for a light rail rolling stock system in terms of reliability, availability, and maintenance costs. The maintenance policy defines one of the three predefined preventive maintenance actions at fixed time-based intervals for each of the subsystems of the braking system. Based on work, maintenance, and failure data, we model the reliability degradation of the system and its subsystems under the current maintenance policy by a Weibull distribution. We then analytically determine the relation between reliability, availability, and maintenance costs. We validate the model against recorded reliability and availability and get further insights by a dedicated sensitivity analysis. The model is then used in a sequential optimization framework determining preventive maintenance intervals to improve on the key performance indicators. We show the potential of data-driven modelling to determine optimal maintenance policy: same system availability and reliability can be achieved with 30% maintenance cost reduction, by prolonging the intervals and re-grouping maintenance actions.
Integrating Dynamic Signaling Commands Under Fixed-Block Signaling Systems into Train Dispatching Optimization Problems
Publisher: SAGE Publications
Date: 09-09-2018
Sensitivity analysis of DEM prediction for sliding wear by single iron ore particle
Publisher: Emerald
Date: 07-08-2017
Abstract: Sliding wear is a common phenomenon in the iron ore handling industry. Large-scale handling of iron ore bulk-solids causes a high amount of volume loss from the surfaces of bulk-solids-handling equipment. Predicting the sliding wear volume from equipment surfaces is beneficial for efficient maintenance of worn equipment. Recently, the discrete element method (DEM) simulations have been utilised to predict the wear by bulk-solids. However, the sensitivity of wear prediction subjected to DEM parameters has not been systemically investigated at single particle level. To ensure the wear predictions by DEM are accurate and stable, this study aims to conduct the sensitivity analysis at the single particle level. In this research, pin-on-disc wear tests are modelled to predict the sliding wear by in idual iron ore particles. The Hertz–Mindlin (no slip) contact model is implemented to simulate interactions between particle (pin) and geometry (disc). To quantify the wear from geometry surface, a sliding wear equation derived from Archard’s wear model is adopted in the DEM simulations. The accuracy of the pin-on-disc wear test simulation is assessed by comparing the predicted wear volume with that of the theoretical calculation. The stability is evaluated by repetitive tests of a reference case. At the steady-state wear, the sensitivity analysis is done by predicting sliding wear volumes using the parameter values determined by iron ore-handling conditions. This research is carried out using the software EDEM ® 2.7.1. Numerical errors occur when a particle passes a joint side of geometry meshes. However, this influence is negligible compared to total wear volume of a wear revolution. A reference case study demonstrates that accurate and stable results of sliding wear volume can be achieved. For the sliding wear at steady state, increasing particle density or radius causes more wear, whereas, by contrast, particle Poisson’s ratio, particle shear modulus, geometry mesh size, rotating speed, coefficient of restitution and time step have no impact on wear volume. As expected, increasing indentation force results in a proportional increase. For maintaining wear characteristic and reducing simulation time, the geometry mesh size is recommended. To further reduce simulation time, it is inappropriate using lower particle shear modulus. However, the maximum time step can be increased to 187% T R without compromising simulation accuracy. The applied coefficient of sliding wear is determined based on theoretical and experimental studies of a spherical head of iron ore particle. To predict realistic volume loss in the iron ore-handling industry, this coefficient should be experimentally determined by taking into account the non-spherical shapes of iron ore particles. The effects of DEM parameters on sliding wear are revealed, enabling the selections of adequate values to predict sliding wear in the iron ore-handling industry. The accuracy and stability to predict sliding wear by using EDEM ® 2.7.1 are verified. Besides, this research accelerates the calibration of sliding wear prediction by DEM.
Distributed intelligence in autonomous multi-vehicle systems
Publisher: Inderscience Publishers
Date: 2006
Design of electronic commerce infrastructure for cross-border postal operations
Publisher: IEEE
Date: 10-2014
The latest development of reinforcement techniques on tubular joints
Publisher: CRC Press/Balkema
Date: 24-04-2017
Integrated optimization on train scheduling and preventive maintenance time slots planning
Publisher: Elsevier BV
Date: 07-2017
Assessing the representativeness of durability tests for wood pellets by DEM Simulation – Comparing conditions in a durability test with transfer chutes
Publisher: EDP Sciences
Date: 2017
Continuous line bucket lifting versus pipe lifting
Publisher: ASME International
Date: 25-05-2017
DOI: 10.1115/1.4036375
Abstract: In the literature, the continuous line bucket (CLB) lifting system and the pipe lifting system (PLS), as two typical mineral lifting methods in deep sea mining (DSM) systems, have been discussed since the 1960s. The purpose of this paper is to determine an appropriate lifting method for deep sea mining systems at different working conditions. The determination is based on the comparison of the analysis results of the two typical lifting methods considering the technology performance and the profitability. The analysis is based on a numerical calculation performed in a matlab environment. This paper shows the comparison of the results of the CLB system and PLS in terms of the lifting efficiency, the energy consumption, and the profitability. The research reported in this paper can be utilized to select a proper lifting method for a DSM project depending on its specific criteria analysis.
Analysis of dry bulk terminals: Chances for exploration
Publisher: Wiley
Date: 11-2007
Abstract: Over the last ten years, global economic developments have had an increasing influence on supply and demand trend in the dry bulk market. This increase has impacted on the shipping, dry cargo handling, bulk terminal operations and transportation industries. As a result the capacity of bulk handling terminals had to be increased, where on the other hand discussions about environmental regulations and pollution increase. The objective of this paper is to point out several issues to be solved in the near future. It results in an overview and analysis of differences and similarities of the facilities for the handling, storage, and processing of the bulk material. The analysis will be used to set up research projects at the department of Marine and Transport Technology of Delft University of Technology to further investigate the chances and challenges on improving equipment for the storage and transportation of particulate solids as well as their logistics.
A new procedure for deep sea mining tailings disposal
Publisher: MDPI AG
Date: 29-03-0006
DOI: 10.3390/MIN7040047
Data-driven Methods to Predict the Burst Strength of Corroded Line Pipelines Subjected to Internal Pressure
Publisher: Springer Science and Business Media LLC
Date: 06-2022
A stress discontinuity approach to model the stress profile on a loaded conveyor belt
Publisher: Elsevier BV
Date: 03-2015
Speed control of belt conveyors during transient operation
Publisher: Elsevier BV
Date: 11-2016
Trajectory planning for AGVs in automated container terminals using avoidance constraints: A case study
Publisher: Elsevier BV
Date: 2014
Model design for agent-based simulation
Publisher: ACM
Date: 20-01-2017
Rescheduling of interacting machines in automated container terminals
Publisher: Elsevier BV
Date: 2014
Tensile test simulation of high-carbon steel by discrete element method
Publisher: Emerald
Date: 13-06-2016
Abstract: – The tensile test is one of the fundamental experiments used to evaluate material properties. Simulating a tensile test can be a replacement of experiments to determine mechanical parameters of a continuous material. The paper aims to discuss these issues. – This research uses a new approach to model a tensile test of a high-carbon steel on the basis of discrete element method (DEM). In this research, the tensile test specimen was created by using a DEM packing theory. The particle-particle bond model was used to establish the internal forces of the tensile test specimen. The particle-particle bond model was first tested by performing two-particle tensile test, then was adopted to simulate tensile tests of the high-carbon steel by using 3,678 particles. – This research has successfully revealed the relationships between the DEM parameters and mechanical parameters by modelling a tensile test. The parametric study demonstrates that the particle physical radius, particle contact radius and bond disc radius can significantly influence ultimate stress and Young’s modulus of the specimen, whereas they slightly impact elongation at fracture. Increasing the normal and shear stiffness, the critical normal and shear stiffness can enable the increase of ultimate stress, however, up to maximum values. – To improve the particle-particle bond model to simulate a tensile test for high-carbon steel, the d ing factors for compensating energy loss from transition of particle motions and failure of bonds are required. – This work reinforces the knowledge of applying DEM to model continuous materials. – This research illustrates a new approach to model a tensile test of a high-carbon steel on the basis of DEM.
Reducing drying energy and costs by process alterations at aggregate stockpiles
Publisher: Springer Science and Business Media LLC
Date: 25-09-2011
Putting the pedal to the metal
Publisher: Elsevier
Date: 2001
Critical Literature Review into Planning of Inter-Terminal Transport: In Port Areas and the Hinterland
Publisher: Hindawi Limited
Date: 10-06-2019
DOI: 10.1155/2019/9893615
Abstract: Nowadays, the major ports around the world usually consist of multiple terminals and service centers which are often run by different operators. Meanwhile, inland terminals have been also developed to reduce port congestion and improve transport efficiency. The integrated planning of inter-terminal transport (ITT) between the seaport and inland terminals helps in providing frequent and profitable services, but also could lead to higher overall planning complexity. Moreover, the ITT system usually involves multiple stakeholders with different or even conflicting interests. Although an increasing number of studies have been conducted in recent years, few studies have summarized the research findings and indicated the directions for future research regarding ITT. This paper provides a systemic review of ITT planning: we examine 77 scientific journal papers to identify what kind of objectives should be achieved in ITT system planning, which actors should be involved, and what methodologies can be used to support the decision-making process. Based on the analysis of the existing research, several research gaps can be found. For ex le, the multi-modality ITT systems are rarely studied cooperation frameworks are needed in the coordination of different actors and quantitative methodologies should be developed to reflect the different actors’ financial interests.
DEM speedup: Stiffness effects on behavior of bulk material
Publisher: Elsevier BV
Date: 02-2014
Simulation-based knowledge acquisition for intelligent belt conveyor monitoring
Publisher: Wiley
Date: 11-2007
Abstract: The development of knowledge‐based systems (KBS) enables accumulated experience and knowledge to be applied to the intelligent monitoring in the field of large‐scale belt conveyor systems. The first step of building knowledge bases in a KBS is referred to the knowledge acquisition (KA). KA from domain experts and field experiments has often been considered as the most difficult task and time‐consuming process. This paper introduces a methodology for knowledge‐based intelligent belt conveyor monitoring that uses simulation to speed up and simplify the process of KA. Results of laboratory experiments show the efficiency and the accuracy of the introduced simulation‐based KA method.
The application of RFID technology in large-scale dry bulk material transport system monitoring
Publisher: IEEE
Date: 09-2011
Effects of auditory and visual feedback on remote pilot manual flying performance
Publisher: Informa UK Limited
Date: 28-07-2020
Trust and user acceptance of pilotless passenger aircraft
Publisher: Elsevier BV
Date: 12-2022
A distributed constraint optimization approach for vessel rotation planning
Publisher: Springer International Publishing
Date: 2014
Dynamics of multiple drive belt conveyor systems
Publisher: Wiley
Date: 11-2007
Abstract: This paper investigates the dynamic starting behavior of long multiple drive belt conveyors. By simulating a speed controlled start procedure with a dynamic model, a comparison is made between the starting behavior of a single and a multiple drive layout, with no load on the belt. These simulations are also compared with simulations of a multiple drive layout that is configured for a loaded belt. These results show that a link can be established between the dynamic behavior of the belt sections in a multiple drive belt conveyor and a single driven conveyor system.
Design and Test of an Active Pneumatic Soft Wrist for Soft Grippers
Publisher: MDPI AG
Date: 27-10-2022
DOI: 10.3390/ACT11110311
Abstract: An active wrist can deliver both bending and twisting motions that are essential for soft grippers to perform dexterous manipulations capable of producing a wide range movements. Currently, the versions of gripper wrists are relatively heavy due to the bending and twisting motions performed by the motors. Pneumatic soft actuators can generate multiple motions with lightweight drives. This research evaluates a pneumatic soft wrist based on four parallel soft helical actuators. The kinematics models for predicting bending and twisting motions of this soft wrist are developed. Finite element method simulations are conducted to verify the functions of bending and twisting of this wrist. In addition, the active motions of the soft pneumatic wrist are experimentally demonstrated. Based on sensitivity studies of geometric parameters, a set of parameter values are identified for obtaining maximum bending and twisting angles for a bionic human wrist. Through simulation and experimental tests of the soft wrist for a soft gripper, the desired bending and twisting motions as those of a real human hand wrist are established.
Conceptual design of industrial systems: An approach to support collaboration
Publisher: Springer Science and Business Media LLC
Date: 09-08-2006
Determining stress cycles for belt conveyor speed control in transient operations
Publisher: IEEE
Date: 07-2016
Systems structure and simulation design of emergency response to maritime accidents
Publisher: CRC Press
Date: 30-09-2015
DOI: 10.1201/B17494-32
Residual ultimate strength of damaged seamless metallic pipelines with combined dent and metal loss
Publisher: Elsevier BV
Date: 09-2018
Review of solid and liquid biofuel demand and supply in Northwest Europe towards 2030 – A comparison of national and regional projections
Publisher: Elsevier BV
Date: 10-2017
Optimal equipment deployment for biomass terminal operations
Publisher: Elsevier BV
Date: 07-2018
Airborne particles in indoor environment of homes, schools, offices and aged care facilities: The main routes of exposure
Publisher: Elsevier BV
Date: 11-2017
DOI: 10.1016/J.ENVINT.2017.07.025
Abstract: It has been shown that the exposure to airborne particulate matter is one of the most significant environmental risks people face. Since indoor environment is where people spend the majority of time, in order to protect against this risk, the origin of the particles needs to be understood: do they come from indoor, outdoor sources or both? Further, this question needs to be answered separately for each of the PM mass/number size fractions, as they originate from different sources. Numerous studies have been conducted for specific indoor environments or under specific setting. Here our aim was to go beyond the specifics of in idual studies, and to explore, based on pooled data from the literature, whether there are generalizable trends in routes of exposure at homes, schools and day cares, offices and aged care facilities. To do this, we quantified the overall 24h and occupancy weighted means of PM
Measurement of a pipe belt conveyor contact forces and cross section deformation by means of the six-point pipe belt stiffness testing device
Publisher: Elsevier BV
Date: 06-2015
Bipolar magnetic positioning system for Automated Guided Vehicles
Publisher: IEEE
Date: 06-2008
Reducing Unmet Demand and Spoilage in Cut Rose Logistics: Modeling and Control of Fast Moving Perishable Goods
Publisher: SAGE Publications
Date: 31-08-2018
Abstract: Fresh cut flower supply chains are aware of the need for reducing spoilage and increasing customer satisfaction. This paper focuses on a part of the cut rose supply chain, from auction house to several end customers. A new business mode is considered that would allow end customers to subscribe to florists and have a continuous supply of bouquets of roses. To make this business mode feasible, we propose to benefit from real-time information on roses’ remaining vase life. First, a quality-aware modeling technique is applied to describe supply chain events and quality change of cut roses among several supply chain players. Then, a distributed model predictive control strategy is used to make up-to-date decisions for supply chain players according to the latest logistics and quality information. This approach provides a tool for multiple stakeholders to collaboratively plan the logistics activities in a typical cut rose supply chain based on roses’ estimated vase life in real time. The proposed approach is compared with a currently used business mode in simulation experiments. Results illustrate that the new business mode and the planning approach could reduce unmet demand and spoilage in a cut rose supply chain.
Reliability assessment of safety systems with asymmetrical redundancy architecture
Publisher: World Scientific Pub Co Pte Lt
Date: 06-03-2018
DOI: 10.1142/S0218539318500067
Abstract: Application of an M-out-of-N redundancy architecture is a well-known measure for improving the reliability of safety systems. Most scientific papers addressing the reliability assessment of such systems consider a conventional homogeneous M-out-of-N redundancy architecture that is performed for identical channels. However, often in practice, an M-out-of-N redundancy architecture does not have identical channels. Reliability assessment of such heterogeneous systems (electrical/electronic and mechanical) with nonidentical channels and a combination of constant and nonconstant failure rates is considered in this paper. Such type of M-out-of-N redundancy architecture is introduced in this research as “asymmetrical redundancy”. It can be used for enhancing the reliability of old mechanical systems or for reducing mutual influence of channels and increase of diagnostic coverage. This paper also presents a new “window-based Markov method” for PFD[Formula: see text] (average probability of failure on demand) and PFH (average frequency of dangerous failures) calculation for systems with an asymmetrical redundancy architecture and compares the results with those obtained by using the steady-state semi-Markov method and Monte-Carlo simulation. The applicability of the developed method is demonstrated in a simple case study.
Evaluation of inter terminal transport configurations at Rotterdam Maasvlakte using discrete event simulation
Publisher: IEEE
Date: 12-2015
Dust emission modelling around a stockpile by using computational fluid dynamics and discrete element method
Publisher: AIP
Date: 2013
DOI: 10.1063/1.4812116
Cooperative distributed collision avoidance based on ADMM for waterborne AGVs
Publisher: Springer International Publishing
Date: 2015
Application of a semi-empirical dynamic tyre model for rolling over arbitrary road profiles
Publisher: Inderscience Publishers
Date: 2004
Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue
Publisher: Elsevier BV
Date: 02-2020
Methods of reliability assessment of heterogeneous redundant systems
Publisher: Elsevier BV
Date: 2016
A two phase approach for inter-terminal transport of inland vessels using preference-based and utility-based coordination rules
Publisher: Springer International Publishing
Date: 2015
Survey of approaches for improving the intelligence of marine Surface Vehicles
Publisher: IEEE
Date: 10-2013
A novel embedded conductive detection system for intelligent conveyor belt monitoring
Publisher: IEEE
Date: 11-2006
Long distance passenger conveyors
Publisher: IEEE
Date: 2006
Toward intelligent power consumption optimization in long high-speed passenger conveyors
Publisher: IEEE
Date: 09-2007
Simulation-based determination of the required stockyard size for dry bulk terminals
Publisher: Elsevier BV
Date: 03-2014
Survey on operational perishables quality control and logistics
Publisher: Springer International Publishing
Date: 2015
A tabu search algorithm to solve the integrated planning of container on an inter-terminal network connected with a hinterland rail network
Publisher: Elsevier BV
Date: 06-2018
Fuzzy controlled energy saving solution for large-scale belt conveying systems
Publisher: Trans Tech Publications, Ltd.
Date: 12-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.260-261.59
Abstract: Belt conveyors generally run at designed nominal speed. When material loading rate is smaller than the nominal conveying capacity the belt is under the situation of being partially filled. It provides the potential of reducing energy consumption by means of adjusting the speed of the belt. For practical reasons discrete control is preferred to adjust the belt speed. This paper presents a fuzzy control method to improve the energy efficiency of large-scale belt conveying systems. Fuzzy logic is applied to represent the change of material loading rate. A fuzzy control algorithm is developed to optimize the adjustment of belt speed to avoid potential material spillage and material overload caused by the short-term material loading peaks. Energy savingsareestimated by computer simulation. Simulation model and outputare verified by practical measurement.
Theoretical and experimental determination of the pressure distribution on a loaded conveyor belt
Publisher: Elsevier BV
Date: 2016
Trajectory Predictions with Details in a Robotic Twin-Crane System
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Condition monitoring approaches for the detection of railway wheel defects
Publisher: SAGE Publications
Date: 28-06-2017
Abstract: Condition monitoring systems are commonly exploited to assess the health status of equipment. A fundamental part of any condition monitoring system is data acquisition. Meaningfully estimating the current condition and predicting the future behaviour of the equipment strongly depend on the characteristic of the data measurement stage. Nowadays, condition monitoring has wide applications in the railway industry, and various monitoring approaches have been proposed for the inspection of wheel and rail conditions. In-service condition monitoring of wheels provides the real-time data required for maintenance planning, while in-workshop inspection is normally done at fixed intervals carried out periodically. In-service data acquisition can be ided into on-board and wayside measurements. In this paper, on the basis of these classifications, the existing data acquisition techniques for the monitoring of railway wheel condition are reviewed, and the state-of-the-art methods and required research are discussed.
A review of intermodal rail freight bundling operations
Publisher: Springer International Publishing
Date: 2015
Optimal Scheduling and Routing of Free-range AGVs at Large Scale Automated Container Terminals
Publisher: Periodica Polytechnica Budapest University of Technology and Economics
Date: 2016
DOI: 10.3311/PPTR.8620
Prediction model for particle fallout in cleanrooms
Publisher: Institute of Environmental Sciences and Technology (IEST)
Date: 10-2012
DOI: 10.17764/JIET.55.1.2441H544M128474K
Abstract: Particle fallout in cleanrooms is a primary concern for industries manufacturing super critical products with surfaces highly susceptible to particulate contamination. Limited research has been conducted to predict the contribution of particulate contamination by production activities in cleanrooms. This paper describes a prediction model that utilizes the relationship between airborne particulate contamination and particle fallout, and the relationship between particle fallout and spatial variations, to predict the level of particle fallout on product surfaces in the cleanroom. Experimental modeling and statistical process control techniques were employed in establishing the above relationships and validation was performed by comparing the predictions from the model with actual observations at production cleanrooms.
Bi-swarm particle swarm optimizer with novel neighborhood topology strategy and its application of intermodal transportation
Publisher: IEEE
Date: 10-2019
Robust Distributed Predictive Control of Waterborne AGVs - A Cooperative and Cost-Effective Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Scheduling Storage Process of Shuttle-Based Storage and Retrieval Systems Based on Reinforcement Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
A company performance index for motor vehicle manufacturers: company performance measurement with environmental concerns
Publisher: Emerald
Date: 03-09-2020
DOI: 10.1108/IJPPM-08-2019-0393
Abstract: Current literature presents limited measurement methods of quantifying manufacturers' performance with environmental concerns. The purpose of this paper is to construct a company performance index for benchmarking motor vehicle manufacturers (MVMs) with environmental concerns. Methods of constructing the index include regression analysis, a modified linear method for normalizing variables and a geometric mean for aggregating variables into a single index I MVM (index for MVMs). A case study is conducted in 12 MVMs from 2008 to 2017. A sensitivity analysis with the simple additive weighting method is performed to analyze how different aggregation methods affect the final value. The index I MVM is assessed through a benchmark with three existing indices. Three realistic considerations are identified from MVMs, based on which proper and transparent methods are chosen to construct the I MVM . The construction of the index I MVM has been assessed through a benchmark against the methodologies of three other indices. The results indicate that the new measurement is feasible and effective for MVMs to measure their company performance from an environmental perspective. The construction of the index I MVM can support policymakers with accurate statistics for decision-making. As a response to current imperative climate policies, this paper raises awareness of CO 2 emissions in vehicles' production. For statistical organizations and stakeholders in the investment world, this paper provides available and reliable statistics for trend analysis of different MVMs. A new method is designed for constructing a company performance index for MVMs. Three environmental variables are identified based on literature, their environmental impact as well as their data availability from public documents. A ranking by manufacturer with environmental concerns is generated. This index can contribute with available statistics and useful insights toward decision-making.
Accelerating Moving Walkway: A review of the characteristics and potential application
Publisher: Elsevier BV
Date: 05-2008
A review of real time railway traffic management during disturbances
Publisher: Springer International Publishing
Date: 2015
Integration of real-time traffic management and train control for rail networks - Part 1: Optimization problems and solution approaches
Publisher: Elsevier BV
Date: 09-2018
Reliability of RFID in logistic systems
Publisher: IEEE
Date: 06-2006
Model predictive control of a waterborne AGV at the operational level
Publisher: CRC Press
Date: 07-10-2015
DOI: 10.1201/B17517-13
Predictive quality-aware control for scheduling of potato starch production
Publisher: Elsevier BV
Date: 07-2018
Effect of spillage on water quality during transshipment of dry bulk solids
Publisher: IEEE
Date: 06-2011
Distributed optimization for real-time railway traffic management
Publisher: Elsevier BV
Date: 2018
Analysis of a Green Transport Plant for Deep Sea Mining Systems
Publisher: Pleiades Publishing Ltd
Date: 03-2018
Mechanical engineering Causal modeling in industrial Reliability and Maintenance Management
Publisher: CRC Press
Date: 09-2014
DOI: 10.1201/B17399-118
Configuration and singularity analysis of a parallel hip joint simulator based on the forward kinematics
Publisher: Elsevier BV
Date: 08-2016
Study on route division for ship energy efficiency optimization based on big environment data
Publisher: IEEE
Date: 08-2017
A Novel Adaptive Negotiation Strategy for Agricultural Supply Chain Centered on Third Party Logistics
Publisher: Springer International Publishing
Date: 2016
Causal modeling in industrial Reliability and Maintenance Management
Publisher: CRC Press
Date: 09-2015
DOI: 10.1201/B17399-115
Benchmarking company performance from economic and environmental perspectives: Time series analysis for motor vehicle manufacturers
Publisher: Emerald
Date: 13-12-2020
Abstract: The purpose of this paper is to develop an approach to measuring the performance of motor vehicle manufacturers (MVMs) from economic and environmental (E& E) perspectives. Eight measures are identified for benchmarking the performance from E& E perspectives. A new company performance index I MVM is constructed to quantitatively generate the historical data of MVMs’ company performance. Autoregressive integrated moving average (ARIMA) models are built to generate the forecast data of the I MVM . The minimum Akaike information criteria value is used to identify the model of the best fit. Forecast accuracy of the ARIMA models is tested by the mean absolute percentage error. The construction of the index I MVM is benchmarked against three frameworks by six benchmark metrics. The I MVM satisfies all of its applicable metrics while the three frameworks are incapable to satisfy their applicable metrics. Out of 15, 4 MVMs are excluded for benchmarking future performance due to their non-stationary time series data. Based on the forecast I MVM data, GM is the best performer among the 15 s les in the FY2018. This research highlights the environmental perspective during vehicles’ production. The development of this approach is based on publicly available data and transparent about the methods it used. The data out of the approach can benefit stakeholders with insights by benchmarking the historical performance of MVMs as well as their future performance.
Energy-efficient container handling using hybrid model predictive control
Publisher: Informa UK Limited
Date: 06-2015
A New Design of Sydney’s Frontport Check-in System
Publisher: MDPI AG
Date: 31-03-2021
DOI: 10.3390/SU13073850
Abstract: This paper proposed a scheme design for Sydney’s frontport check-in system, which completes check-in and baggage drop-off at Sydney’s Circular Quay, and transports the baggage to Sydney Kingsford Smith Airport by waterway, and provided a strengths, weaknesses, opportunities and threats (SWOT) analysis of Sydney’s frontport check-in system. Using the process method of quality management, the frontport check-in process was ided into three sub-processes: baggage consignment, baggage packing and transportation, and airport baggage handling. The eight key elements of each sub-process such as input, output, resources, and methods, etc. were discussed, the key factors influencing the cost of baggage transportation were analyzed, and the cost control measures such as adopting economic speed, reducing fuel consumption of the main engine, improving the ship loading rate, and raising loading and unloading efficiency were proposed. At the same time, two different types of baggage transportation ships and other parameters that affect the cost such as the number of berths, ships, lifting machineries, and the yard area were analyzed and calculated through calculation cases. This scheme is a beneficial addition to the existing in-town check-in system.
Agent-based negotiation framework for agricultural supply chain supported by third party logistics
Publisher: IEEE
Date: 05-2016
Decision support for vehicle configuration determination in Inter Terminal Transport system design
Publisher: IEEE
Date: 04-2014
Hierarchical control of equipment in automated container terminals
Publisher: Springer Berlin Heidelberg
Date: 2013
Image processing algorithms for crack detection in welded structures via pulsed eddy current thermal imaging
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Prognostics in the control of logistics systems
Publisher: IEEE
Date: 11-2006
Fast ADMM for Distributed Model Predictive Control of Cooperative Waterborne AGVs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Integration of real-time traffic management and train control for rail networks - Part 2: Extensions towards energy-efficient train operations
Publisher: Elsevier BV
Date: 09-2018
Bionic design methodology for wear reduction of bulk solids handling equipment
Publisher: Informa UK Limited
Date: 19-04-2017
An improved zero vibration method and parameter sensitivity analysis for the swing control of bridge-type grab ship unloader
Publisher: SAGE Publications
Date: 30-07-2016
Abstract: This paper presents an improved zero vibration method for the swing control of bridge-type grab ship unloader. With the method, the concepts of equivalent frequency and the equivalent d ing ratio are proposed to cope with the changeable length of rope, and the optimal path planning is considered to avoid collision and improve efficiency. Numerical simulation results of a case study indicate that the maximum residual swing angle of the grab can be limited to a small range to ensure safety using the improved zero vibration method, whereas the traditional zero vibration method with average frequency and zero d ing ratio gets poor results of swing control. After that, the sensitivities of the max residual swing angle to the changes of some main design parameters (d ing coefficient, deviation of the center of gravity of the grab in rope direction, and time delay of the system) and operating parameters (position deviation of the trolley, initial length deviation of the rope, and initial swing angle) are analyzed. The results obtained display that the residual swing angle is sensitive to the deviation of grab’s center of gravity, the deviation of trolley’s position, and the initial swing angle under the same control parameters, but insensitive to the d ing coefficient, the time delay of the system, and the initial length deviation of the rope. This can help to select the appropriate parameter values or adaptive range in an actual unloader.
Method for performance measurement of car companies from a stability-value leverage perspective: The balancing act between investment in R&D, supply chain configuration and value creation
Publisher: Emerald
Date: 04-03-2019
DOI: 10.1108/IJLSS-03-2017-0024
Abstract: Today, most of the car manufacturers world-wide have embraced the principles of lean manufacturing on strategic and operational level. On strategic level car companies like Toyota (Womack et al., 1990) shifted 63 per cent of the value of the car towards the first, second and third tier suppliers for the co-production and co-development of cars as an effect of lean implementation. However, lean implementation was also followed by for instance Ford and GM in the USA, the latter company faced a sudden disruption in 2009 due to the break-out of the financial crisis in 2008, while Ford survived. Could this be foreseen? The exclusive use of (classic) financial performance indicators may give a false image of a company’s current and future performance. There is a need for a model to identify “the stars and the laggards’ regarding car companies by taking into account non-financial and intangible dimensions as advocated by Neely et al. (2003) regarding the third generation of business performance measurement systems. The purpose of this paper is therefor to propose a method to measure and benchmark car company performance which includes the non-financial R& D dimension as well as supply chain, value creating and employee dimensions. These dimensions are present in the value leverage model (van Blokland et al., 2012a, 2012b) which can serve as a basis for this method. The aim is to contribute to the third generation business performance measurement systems by further development of the value leverage model towards a maturity model for benchmarking car company performance. The proposed method can provide a big picture and give insight regarding company performance and direction of the performance. Value leverage can be measured by a correlation analysis regarding three dimensions, namely, supply chain, R& D and value creation, all relative to the employee or capita which results in the average value leverage (AVL) factor. This AVL factor can be used to compose a combined relative and absolute ranking. The score regarding the AVL results in a relative ranking expressing the level of stability regarding the car companies value chain and system. For the absolute ranking the car companies receive per variable parameter a score according to their absolute performance relative to the other car companies. The relative and absolute ranking are presented on the vertical and horizontal axes forming a matrix. The matrix is the basis for the stability-value leverage maturity model for measuring and benchmarking company performance. With the proposed method, the following main research question can be answered: “How can company performance be measured and benchmarked from a stability-value leverage perspective?”. With the proposed method, stability-value leverage performance can be measured. The relative ranking on the vertical axis and the absolute ranking form together a matrix which is presented by a scatterplot. A matrix with four maturity levels emerged from the analysis by introducing the average score of all the car companies together in the data set crossing the matrix vertical and horizontal. The four levels are as follows: Level I, low stability – low value leverage Level II, low stability – high value leverage Level III, high stability – low value leverage and Level IV, high stability – high value leverage. Stability-value leverage performance of car companies can be measured over time which makes it possible to observe to which direction the car company migrates for instance from Level I to Level III, before and after the financial crises in 2008. The car companies BMW, Daimler, Audi, Ford and Honda are the best performing companies in stability-value leverage over the period 2000-2014, as they are situated at Level IV. With the findings, the main research question can be answered. The value leverage indicators can be used for measuring and benchmarking company performance regarding four maturity levels of stability and value leverage. The direction of performance can be observed as well. This research is limited to the car industry. Further research is devised to test the indicators for instance on the truck manufacturing industry. Further research towards new variables is part of the ongoing research. With the value leverage maturity model, it is possible to inform stakeholders about stability, value leverage and value creation capability of car companies. Weak performing companies can be identified in an early stage with this method to anticipate for instance on possible discontinuation of a car company effecting in merger an acquisition processes. With the method stakeholders such as employees, users of cars and investors can be informed about how and why car companies perform in an unstable or stable manner. This research towards ranking and classification of car companies aligns with theories regarding lean manufacturing and maturity models, as these models are used to compare companies on their level of perfection or excellence.
A novel embedded conductive detection system for intelligent conveyor belt monitoring
Publisher: IEEE
Date: 06-2006
Improving travel time reliability by the use of trip booking
Publisher: IEEE
Date: 2003
Optimisation of check-in process focused on passenger perception for using self-service technologies at airport in Australia
Publisher: Omnia Publisher SL
Date: 17-02-2022
DOI: 10.3926/JAIRM.201
Abstract: Purpose: The use of technology is constantly evolving for various services at airports to enhance the passenger experience. However, the passenger’s perspective towards the technology is different.Design/methodology: A survey was conducted to know these perspectives and finding the differences. The collected data was based on the passengers at Australian airports. The CAST software was used to analyse the simulation model.Findings: The collected survey helped in identifying three types of passengers: the number of passengers who prefer traditional service, the number of passengers who prefer technology-based services and the number of passengers who prefer technology-based services only under the specific circumstances such as less crowded and less processing time. Each type of passenger was further analysed based on their provided arriving time at terminal and processing time for check-in to evaluate the impact on waiting time.Practical implications: The findings suggest only that only one third passengers prefer technology-based services at airports and presents the resulting impact on the waiting time at check-in facilities.Originality/value: Given the current rate of technological innovations at airports, the findings provide insights for check-in facilities management at airports.
Simulation-based rescheduling of the stacker-reclaimer operation
Publisher: Elsevier BV
Date: 09-2015
Control of interacting machines in automated container terminals using a sequential planning approach for collision avoidance
Publisher: Elsevier BV
Date: 11-2015
Analytical formulas of PFD and PFH calculation for systems with nonconstant failure rates
Publisher: SAGE Publications
Date: 20-03-2017
Abstract: Most analytical formulas developed for the PFD and PFH calculation assume a constant failure rate. This assumption does not necessarily hold for system components that are affected by wear. This article presents methods of analytical calculations of PFD and PFH for an M-out-of-N redundancy architecture with nonconstant failure rates and demonstrates its application in a simple case study. The method for PFD calculation is based on the ratio between cumulative distribution functions and includes forecasting of PFD values with a possibility of update of failure rate function. The approach for the PFH calculation is based on simplified formulas and the definition of PFH. In both methods, a Weibull distribution is used for characteristics of the system behavior. The PFD and PFH values are obtained for low, moderate and high degradation effects and compared with the results of exact calculations. Presented analytical formulas are a useful contribution to the reliability assessment of M-out-of-N systems.
Physical properties of solid biomass
Publisher: Elsevier BV
Date: 05-2011
The delft systems approach: Analysis and design of industrial systems
Publisher: Springer London
Date: 2008
Healthy speed control of belt conveyors on conveying bulk materials
Publisher: Elsevier BV
Date: 03-2018
Scaling of particles and equipment by experiments of an excavation motion
Publisher: Elsevier BV
Date: 07-2015
Reconstruction of an informative railway wheel defect signal from wheel–rail contact signals measured by multiple wayside sensors
Publisher: SAGE Publications
Date: 04-07-2018
Abstract: Wheel impact load detectors are widespread railway systems used for measuring the wheel–rail contact force. They usually measure the rail strain and convert it to force in order to detect high impact forces and corresponding detrimental wheels. The measured strain signal can also be used to identify the defect type and its severity. The strain sensors have a limited effective zone that leads to partial observation from the wheels. Therefore, wheel impact load detectors exploit multiple sensors to collect s les from different portions of the wheels. The discrete measurement by multiple sensors provides the magnitude of the force however, it does not provide the much richer variation pattern of the contact force signal. Therefore, this paper proposes a fusion method to associate the collected s les to their positions over the wheel circumferential coordinate. This process reconstructs an informative signal from the discrete s les collected by multiple sensors. To validate the proposed method, the multiple sensors have been simulated by an ad hoc multibody dynamic software (VI-Rail), and the outputs have been fed to the fusion model. The reconstructed signal represents the contact force and consequently the wheel defect. The obtained results demonstrate considerable similarity between the contact force and the reconstructed defect signal that can be used for further defect identification.
Optimizing hybrid operations at large-scale automated container terminals
Publisher: IEEE
Date: 06-2015
Numerical investigation of residual ultimate strength of dented metallic pipes subjected to pure bending
Publisher: Informa UK Limited
Date: 02-2018
Composite Indicators of Company Performance: A Literature Survey
Publisher: No publisher found
Date: 09-04-2021
DOI: 10.1002/PIQ.21328
Quality-Aware Predictive Scheduling of Raw Perishable Material Transports
Publisher: Springer International Publishing
Date: 15-09-2017
Evaluation of wood pellet handling in import terminals
Publisher: Elsevier BV
Date: 10-2018
Research on the impact of ship traffic flow on the restricted channel segment of the middle Yangtze River based on traffic wave theory
Publisher: Springer Science and Business Media LLC
Date: 22-07-2021
DOI: 10.1007/S42452-021-04727-W
Abstract: On the basis of the influence of dry season on ship traffic flow, the gathering and dissipating process of ship traffic flow was researched with Greenshields linear flow—density relationship model, the intrinsic relationship between the ship traffic congestion state and traffic wave in the unclosed restricted channel segment was emphatically explored when the ship traffic flow in a tributary channel inflows, and the influence law of multiple traffic waves on the ship traffic flow characteristics in unclosed restricted segment is revealed. On this basis, the expressions of traffic wave speed and direction, dissipation time of queued ships and the number of ships affected were provided, and combined with Monte Carlo method, the ship traffic flow simulation model in the restricted channel segment was built. The simulation results show that in closed restricted channel segment the dissipation time of ships queued is mainly related to the ship traffic flow rate of segments A and C, and the total number of ships affected to the ship traffic flow rate of segment A. And in unclosed restricted channel segment, the dissipation time and the total number of ships affected are also determined by the meeting time of the traffic waves in addition to the ship traffic flow rate of segments. The research results can provide the theoretical support for further studying the ship traffic flow in unclosed restricted channel segment with multiple tributaries The inflow of tributaries' ship traffic flows has an obvious impact on the traffic conditions in the unenclosed restricted channel segment. The interaction and influence between multiple ship traffic waves and the mechanism of generating new traffic waves are explained. The expression of both dissipation time of queued ships and the total number of ships affected in the closed and unclosed restricted channel segment are given.
Reliability of RFID in logistic systems
Publisher: IEEE
Date: 11-2006
Collaborative framework of an intelligent agent system for efficient logistics transport planning
Publisher: Elsevier BV
Date: 10-2017
Prognostics in the control of logistics systems
Publisher: IEEE
Date: 06-2006
Large-scale conveyor belt system maintenance decision-making by using fuzzy causal modeling
Publisher: IEEE
Date: 2005
DEM particle upscaling for large-scale bulk handling equipment and material interaction
Publisher: Elsevier BV
Date: 06-2019
Potential for vehicle ride improvement using both suspension and aerodynamic actuators
Publisher: IEEE
Date: 2005
Exploration of the effects of task-related fatigue on eye-motion features and its value in improving driver fatigue-related technology
Publisher: Elsevier BV
Date: 07-2021
Integration of inter-terminal transport and hinterland rail transport
Publisher: Springer Science and Business Media LLC
Date: 20-03-2019
Experimental research on condition monitoring of belt conveyor idlers
Publisher: Elsevier BV
Date: 10-2018
Survey on characteristics and challenges of synchromodal transportation in global cold chains
Publisher: Springer International Publishing
Date: 2017
Integrate multi-agent planning in hinterland transport: Design, implementation and evaluation
Publisher: Elsevier BV
Date: 10-2015
Review of the troughability test ISO 703 for quantifying a uniform transverse bending stiffness for conveyor belts
Publisher: Springer Science and Business Media LLC
Date: 02-2017
Comparison of routing strategies for AGV systems using simulation
Publisher: IEEE
Date: 12-2006
Simulating the operational control of free ranging AGVs
Publisher: IEEE
Date: 12-2006
Distributed constraint optimization for addressing vessel rotation planning problems
Publisher: Elsevier BV
Date: 02-2016
Impact and relevance of transit disturbances on planning in intermodal container networks using disturbance cost analysis
Publisher: Springer Science and Business Media LLC
Date: 09-10-2015
DOI: 10.1057/MEL.2014.27
Acoustic signal based fault detection on belt conveyor idlers using machine learning
Publisher: Elsevier BV
Date: 07-2020
Planning inland vessel operations in large seaports using a two-phase approach
Publisher: Elsevier BV
Date: 04-2017
Modelling rolling contact phenomena in a pouch belt conveyor system
Publisher: Elsevier BV
Date: 05-2006
Trajectory tracking of autonomous vessels using model predictive control
Publisher: Elsevier BV
Date: 2014
Passenger shuttle service network design in an airport
Publisher: Informa UK Limited
Date: 30-11-2021
Vessel routing for sweeping of marine litter in a port area
Publisher: Springer Singapore
Date: 2016
Belt conveyor network design using simulation
Publisher: Informa UK Limited
Date: 08-2016
DOI: 10.1057/JOS.2014.38
A methodology to predict power savings of troughed belt conveyors by speed control
Publisher: Informa UK Limited
Date: 24-01-2011
Design of an Active Flexible Spine for Wall Climbing Robot Using Pneumatic Soft Actuators
Publisher: Springer Science and Business Media LLC
Date: 30-09-2023
An intelligent agent-based information integrated platform for hinterland container transport
Publisher: IEEE
Date: 10-2014
Developing an AGV motion controller using simulation, emulation and prototyping
Publisher: IEEE
Date: 2005
Improving energy efficiency in material transport systems by fuzzy speed control
Publisher: IEEE
Date: 08-2011
A service network design for scheduled advanced air mobility using human-driven and autonomous air metro
Publisher: Elsevier BV
Date: 09-2023
Multi-Level Predictive Control for Energy Management of Hybrid Ships in the Presence of Uncertainty and Environmental Disturbances
Publisher: Elsevier BV
Date: 2016
Measured effects of workload and auditory feedback on remote pilot task performance
Publisher: Informa UK Limited
Date: 22-11-2022
DOI: 10.1080/00140139.2021.2003870
Abstract: Absent or reduced sensory cueing can deprive pilots operating remotely piloted aircraft beyond visual line of sight (BVLOS) of vital information necessary for safe flight. The present study tested the effects of real-time auditory feedback on remote pilot perception and decision-making task performance in an automated BVLOS flight, under three levels of workload (Low, Moderate and High). Results from 36 participants revealed workload and auditory feedback influenced perception task performance in terms of error type count, with misses more frequent than wrong identifications. In terms of performance in the decision-making task, under low and moderate levels of workload, auditory feedback was found to improve performance. Conversely, under high workloads, an inflexion or tipping point occurred whereby auditory feedback became detrimental to task performance. These results correspond with the expected behavioural responses to external stressors as predicted by the Arousal and Maximal Adaptability theory, and build upon previous findings related to workload, auditory feedback and remote pilot task performance.
Event-driven receding horizon control for energy-efficient container handling
Publisher: Elsevier BV
Date: 06-2015
A logic-based benders decomposition approach to improve coordination of inland vessels for inter-terminal transport
Publisher: Springer International Publishing
Date: 2016
Explicit use of probabilistic distributions in robust predictive control of waterborne AGVs-A cost-effective approach
Publisher: IEEE
Date: 06-2016
Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control
Publisher: Elsevier BV
Date: 07-2014
Braking system redundancy requirements for moving walks
Publisher: Elsevier BV
Date: 2015
Path planning for autonomous Inland vessels using A*BG
Publisher: Springer International Publishing
Date: 2016
Simulation of a multiterminal system for container handling
Publisher: Springer Science and Business Media LLC
Date: 04-05-2006
On the application of accelerating moving walkways to support passenger processes in Amsterdam Airport Schiphol
Publisher: Informa UK Limited
Date: 10-2013
Design of tracing and tracking network for educational building utilization
Publisher: IEEE
Date: 04-2013
Integrated decision making for predictive maintenance of belt conveyor systems
Publisher: Elsevier BV
Date: 08-2019
Towards context-aware supervision for logistics asset management: Concept design and system implementation
Publisher: Springer International Publishing
Date: 2017
Damp trend Grey Model forecasting method for airline industry
Publisher: Elsevier BV
Date: 09-2013
The short-run and long-run equilibria for commuting with autonomous vehicles
Publisher: Informa UK Limited
Date: 20-07-2022
Predictive path following with arrival time awareness for waterborne AGVs
Publisher: Elsevier BV
Date: 09-2016
A design approach for asset supply logistics
Publisher: Inderscience Publishers
Date: 2010
Approach integrating mixed-integer programming and constraint programming for planning rotations of inland vessels in a large seaport
Publisher: SAGE Publications
Date: 2016
DOI: 10.3141/2549-01
Abstract: During the past decade, inland vessels have gained importance in container transport because of their reliability, low environmental impact, and major capacity for increased exploitation. Although inland vessels are crucial in container transport between terminals in the port and the hinterland, in a large seaport like the one in Rotterdam, Netherlands, only 62% of the inland vessels leave the port on time. The other vessels have to stay in the port area for a longer time than planned. This situation leads to uncertainty in waiting times of vessels at terminals and low utilization of terminal quay resources. A two-phase approach is proposed that integrates mixed-integer programming (MIP) and constraint programming (CP) to solve the problem by generating optimal rotation plans for inland vessels. In the first phase, the single-vessel optimization problem is formulated on the basis of MIP and solved with state-of-the-art MIP solvers. In the second phase, the multiple-vessel coordination problem is formulated on the basis of CP, and a large neighborhood search–based heuristic is proposed to solve the problem. Commercial CP solvers are also used for comparison. Simulation results show that the proposed large neighborhood search–based heuristic outperforms the commercial CP solver with regard to both the solution quality and the computation time. Moreover, simulation results with respect to departure time of the last vessel, total sojourn time, and waiting time show significant improvement with earlier departure times and shorter sojourn times and waiting times.
Quality-aware modeling and optimal scheduling for perishable good distribution networks: The case of banana logistics
Publisher: Springer International Publishing
Date: 2017
Analytical formulas of PFD calculation for systems with non-constant failure rates
Publisher: CRC Press
Date: 03-09-2015
DOI: 10.1201/B19094-220
Application of standards in reliability prognosis of braking system of moving walks
Publisher: CRC Press
Date: 09-2015
DOI: 10.1201/B17399-178
Modeling particle sedimentation in viscous fluids with a coupled immersed boundary method and discrete element method
Publisher: Elsevier BV
Date: 04-2017
Railway wheel defect identification using the signals reconstructed from impact load data
Publisher: DEStech Publications, Inc.
Date: 28-09-2017
Company performance measurement for automobile companies: A composite indicator from an environmental perspective
Publisher: IEEE
Date: 04-2018
Improving travel-time reliability by the use of trip booking
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2004
Scheduling two lifts on a common rail considering acceleration and deceleration in a shuttle based storage and retrieval system
Publisher: Elsevier BV
Date: 10-2018
Green operations of belt conveyors by means of speed control
Publisher: Elsevier BV
Date: 02-2017
Integrated stiffness analysis of redundant parallel manipulator based on finite element method
Publisher: Binary Information Press
Date: 2015
Vessel rotation planning: A layered distributed constraint optimization approach
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2015
Closed-loop scheduling and control of waterborne AGVs for energy-efficient Inter Terminal Transport
Publisher: Elsevier BV
Date: 09-2017
Intelligent infrastructures: Distributed intelligence in transport system control - An illustrative example
Publisher: IEEE
Date: 2004
A Tabu Search Algorithm for Inter-terminal Container Transport
Publisher: Elsevier BV
Date: 2016
Co-simulation framework of discrete element method and multibody dynamics models
Publisher: Emerald
Date: 08-05-2018
Abstract: Bulk material-handling equipment development can be accelerated and is less expensive when testing of virtual prototypes can be adopted. However, often the complexity of the interaction between particulate material and handling equipment cannot be handled by a single computational solver. This paper aims to establish a framework for the development, verification and application of a co-simulation of discrete element method (DEM) and multibody dynamics (MBD). The two methods have been coupled in two directions, which consists of coupling the load data on the geometry from DEM to MBD and the position data from MBD to DEM. The coupling has been validated thoroughly in several scenarios, and the stability and robustness have been investigated. All tests clearly demonstrated that the co-simulation is successful in predicting particle–equipment interaction. Ex les are provided describing the effects of a coupling that is too tight, as well as a coupling that is too loose. A guideline has been developed for achieving stable and efficient co-simulations. This framework shows how to achieve realistic co-simulations of particulate material and equipment interaction of a dynamic nature.
Intelligent supply chain by using prognostic logistics
Publisher: Inderscience Publishers
Date: 2007
Residual ultimate strength of seamless metallic pipelines under a bending moment-a numerical investigation
Publisher: Elsevier BV
Date: 09-2018
Coordination for efficient transport over water
Publisher: IEEE
Date: 05-2015
Application of standards in reliability prognosis of braking system of moving walks
Publisher: CRC Press
Date: 09-2014
DOI: 10.1201/B17399-181
Agent-based negotiation and decision-making for efficient hinterland transport plan
Publisher: IEEE
Date: 05-2015
A method of modeling and service encapsulation on cloud logistics resources
Publisher: IEEE
Date: 05-2015
Traction versus slip in a wheel-driven belt conveyor
Publisher: Elsevier BV
Date: 11-2006
Reducing CO₂ Emissions of an Airport Baggage Handling Transport System Using a Particle Swarm Optimization Algorithm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Heterogeneous Particle Swarm Optimizer and its Application in Aircraft Manufacturing Logistics
Publisher: IEEE
Date: 30-10-2020
An intelligent context-Aware system for logistics asset supervision service
Publisher: IEEE
Date: 02-10-2016
DOI: 10.15439/2016F310
Routing of AGVs on automated container terminals
Publisher: IEEE
Date: 05-2015
Applicability of RFID in the prognostics of logistic systems
Publisher: IEEE
Date: 08-2007
An efficient simulation model for rack design in multi-elevator shuttle-based storage and retrieval system
Publisher: Elsevier BV
Date: 09-2016
Calibrating the microscopic properties of quartz sand with coupled CFD-DEM framework
Publisher: Emerald
Date: 13-06-2016
Abstract: – The macroscopic properties of dried sand can be correctly modelled when the accurate determination of the microscopic properties is available. The microscopic properties between the particles such as the coefficients of rolling ( µ r ) and sliding ( µ s ), are numerically determined in two different ways: with and without considering the fluid effect. In an earlier study, the microscopic properties were determined by discrete element method (DEM) and without considering the air effect on the macroscopic properties such as the Angle of Repose. The purpose of this paper is to recalibrate the microscopic properties through a coupling between the DEM and computational fluid dynamics (CFD). – The first step is dedicated to the calibration of the CFD-DEM model through modelling a single particle sedimentation within air, water, and silicon oil. The voidage and drag models, the grid size ratio (D/dx), the domain size ratio (W/D), and the optimum coupling interval between the CFD and DEM were investigated through comparing the CFD-DEM results with the analytical solution and experimental data. The next step is about modelling an Hourglass with the calibrated CFD-DEM model to recalibrate the µ r and µ s of dried sand particles. – It was concluded that the air has a minor effect on the macroscopic properties of the dried sand and the µ r and µ s that were obtained with the DEM can be utilized in the CFD-DEM simulation. – Utilizing the granulometry of dried quartz sand in the calibration process of the CFD-DEM method has raised the possibility of using the µ r and µ s for other applications in future studies.
Impact of Collaborative Decision Making in Optimized Air Traffic Control: A Game Theoretical Approach
Publisher: Springer International Publishing
Date: 2016
Residual ultimate strength of damaged seamless metallic pipelines with metal loss
Publisher: Elsevier BV
Date: 03-2018
Survey on planning problems in inland waterway transport: Current status and future perspectives
Publisher: IEEE
Date: 10-2013
Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets
Publisher: Elsevier BV
Date: 02-2020
Simulation of a multiterminal system for container handling
Publisher: Springer Berlin Heidelberg
Date: 2007
Hybrid MPC for balancing throughput and energy consumption in an automated container terminal
Publisher: IEEE
Date: 10-2013
Experimental research on the determination of the coefficient of sliding wear under iron ore handling conditions
Publisher: Faculty of Engineering, University of Kragujevac
Date: 09-2017
PSO-based method for safe sailing route and efficient speeds decision-support for sea-going ships encountering accidents
Publisher: IEEE
Date: 05-2017
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