ORCID Profile
0000-0002-3208-702X
Current Organisation
Queensland University of Technology
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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)
Applied Mathematics | Operations Research | Industrial Engineering | Primary Health Care | Public Health and Health Services | Building Construction Management and Project Planning | Infrastructure Engineering and Asset Management | Process Control and Simulation | Chemical Engineering | Road And Rail Transportation | Building | Operations Research | Transport Engineering | Health Care Administration | Differential, Difference And Integral Equations | Public Health And Health Services Not Elsewhere Classified | Applied Statistics |
ANZSRC Socio-Economic Objective (SEO)
Rail transport | Health and support services not elsewhere classified | Energy Storage, Distribution and Supply not elsewhere classified | Civil Construction Planning | Infectious diseases | Health policy evaluation | Management of Greenhouse Gas Emissions from Construction Activities | Application Tools and System Utilities | Clinical health not specific to particular organs, diseases and conditions | Public health not elsewhere classified | Health not elsewhere classified
Related Links
Publications
Effects of bed configurations at a hospital emergency department
Publisher: Informa UK Limited
Date: 02-2011
DOI: 10.1057/JOS.2010.1
The assignment of individual renewable resources in scheduling
Publisher: World Scientific Pub Co Pte Lt
Date: 09-2004
DOI: 10.1142/S021759590400028X
Abstract: Resource constrained scheduling problems are concerned with the allocation of limited resources to tasks over time. The solution to these problems is often a sequence, resource allocation, and schedule. When human workers are incorporated as a renewable resource, the allocation is defined as the number of workers assigned to perform each task. In practice, however, this solution does not adequately address how in idual workers are to be assigned to tasks. This paper, therefore, provides mathematical models and heuristic techniques for solving this multi-period precedence constrained assignment problem. Results of a significant numerical investigation are also presented.
Optimised loading patterns for intermodal trains
Publisher: Springer Science and Business Media LLC
Date: 24-11-2008
Techniques to effectively buffer schedules in the face of uncertainties
Publisher: Elsevier BV
Date: 09-2015
An assignment model for dynamic load planning of intermodal trains
Publisher: Elsevier BV
Date: 2006
A flexible crane scheduling methodology for container terminals
Publisher: Springer Science and Business Media LLC
Date: 08-11-2017
An integrated approach for earthwork allocation, sequencing and routing
Publisher: Elsevier BV
Date: 11-2014
Scheduling a flow shop with combined buffer conditions
Publisher: Elsevier BV
Date: 02-2009
An integrated material handling system for a truck assembly plant
Publisher: Informa UK Limited
Date: 03-2000
Reactive scheduling model for the operating theatre
Publisher: Springer Science and Business Media LLC
Date: 04-08-2012
Optimising container transfers at multimodal terminals
Publisher: Elsevier BV
Date: 05-2000
Analysing the performance of an automated pathology specimen handling system
Publisher: Springer Science and Business Media LLC
Date: 24-01-2008
Experimental dataset for optimising the freight rail operations
Publisher: Elsevier BV
Date: 12-2016
A hybrid metaheuristic algorithm to optimise a real-world robotic cell
Publisher: Elsevier BV
Date: 08-2017
Modern heuristics for scheduling
Publisher: Springer Science and Business Media LLC
Date: 17-05-2011
Ant colony optimisation for machine layout problems
Publisher: Springer Science and Business Media LLC
Date: 09-2004
Profile-based application assignment for greener and more energy-efficient data centers
Publisher: Elsevier BV
Date: 02-2017
A multi-criteria approach for hospital capacity analysis
Publisher: Elsevier BV
Date: 12-2016
Health care management
Publisher: Springer Science and Business Media LLC
Date: 23-06-2012
A mixed integer linear programing approach to perform hospital capacity assessments
Publisher: Elsevier BV
Date: 07-2017
Modelling delay risks associated with train schedules
Publisher: Informa UK Limited
Date: 11-1995
Waiting list management through master surgical schedules: A case study
Publisher: Elsevier BV
Date: 09-2016
A meta-representation for integrating operational research and artificial intelligence in an intelligent decision support paradigm
Publisher: Wiley
Date: 2001
A hybrid constructive heuristic and simulated annealing for railway crew scheduling
Publisher: Elsevier BV
Date: 04-2014
Erratum: Parallel machine scheduling and common due window assignment with job independent earliness and tardiness costs(Information Sciences (2013) 224(109-117))
Publisher: Elsevier BV
Date: 08-2016
A demand-responsive decision support system for coal transportation
Publisher: Elsevier BV
Date: 12-2012
Techniques for restricting multiple overtaking conflicts and performing compound moves when constructing new train schedules
Publisher: Elsevier BV
Date: 07-2009
Optimal scheduling of trains on a single line track
Publisher: Elsevier BV
Date: 04-1996
Optimization of container process at seaport terminals
Publisher: Informa UK Limited
Date: 04-2010
DOI: 10.1057/JORS.2009.18
Using genetic algorithm in profile-based assignment of applications to virtual machines for greener data centers
Publisher: Springer International Publishing
Date: 2015
New graph-based algorithms to efficiently solve large scale open pit mining optimisation problems
Publisher: Elsevier BV
Date: 2016
Modeling train delays in urban networks
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 11-1998
Abstract: The reliability of urban passenger trains is a critical performance measure for passenger satisfaction and ultimately market share. A delay to one train in a peak period can have a severe effect on the schedule adherence of other trains. This paper presents an analytically based model to quantify the expected positive delay for in idual passenger trains and track links in an urban rail network. The model specifically addresses direct delay to trains, knock-on delays to other trains, and delays at scheduled connections. A solution to the resultant system of equations is found using an iterative refinement algorithm. Model validation, which is carried out using a real-life suburban train network consisting of 157 trains, shows the model estimates to be on average within 8% of those obtained from a large scale simulation. Also discussed, is the application of the model to assess the consequences of increased scheduled slack time as well as investment strategies designed to reduce delay.
An integrated approach to optimise sugarcane rail operations
Publisher: Elsevier BV
Date: 08-2016
A sequencing approach for creating new train timetables
Publisher: Springer Science and Business Media LLC
Date: 26-07-2010
Determining operations affected by delay in predictive train timetables
Publisher: Elsevier BV
Date: 2014
Energy efficient scheduling of open-pit coal mine trucks
Publisher: Elsevier BV
Date: 10-2017
Scheduling trains on parallel lines with crossover points
Publisher: Informa UK Limited
Date: 29-10-2009
Analysis of the economic effects of alternative investment decisions for seaport systems
Publisher: Informa UK Limited
Date: 04-1994
A new constraint programming approach for optimising a coal rail system
Publisher: Springer Science and Business Media LLC
Date: 14-05-2016
An integrated model of an open-pit coal mine: Improving energy efficiency decisions
Publisher: Informa UK Limited
Date: 25-11-2016
Hybrid metaheuristic techniques for optimising sugarcane rail operations
Publisher: Informa UK Limited
Date: 22-09-2014
Analysis of uncertainty in the surgical department: durations, requests and cancellations
Publisher: CSIRO Publishing
Date: 2019
DOI: 10.1071/AH18082
Abstract: Objective Analytical techniques are being implemented with increasing frequency to improve the management of surgical departments and to ensure that decisions are well informed. Often these analytical techniques rely on the validity of underlying statistical assumptions, including those around choice of distribution when modelling uncertainty. The aim of the present study was to determine a set of suitable statistical distributions and provide recommendations to assist hospital planning staff, based on three full years of historical data. Methods Statistical analysis was performed to determine the most appropriate distributions and models in a variety of surgical contexts. Data from 2013 to 2015 were collected from the surgical department at a large Australian public hospital. Results A log-normal distribution approximation of the total duration of surgeries in an operating room is appropriate when considering probability of overtime. Surgical requests can be modelled as a Poisson process with rate dependent on urgency and day of the week. In idual cancellations could be modelled as Bernoulli trials, with the probability of patient-, staff- and resource-based cancellations provided herein. Conclusions The analysis presented herein can be used to ensure that assumptions surrounding planning and scheduling in the surgical department are valid. Understanding the stochasticity in the surgical department may result in the implementation of more realistic decision models. What is known about the topic? Many surgical departments rely on crude estimates and general intuition to predict surgical duration, surgical requests (both elective and non-elective) and cancellations. What does this paper add? This paper describes how statistical analysis can be performed to validate common assumptions surrounding surgical uncertainty. The paper also provides a set of recommended distributions and associated parameters that can be used to model uncertainty in a large public hospital’s surgical department. What are the implications for practitioners? The insights on surgical uncertainty provided here will prove valuable for administrative staff who want to incorporate uncertainty in their surgical planning and scheduling decisions.
Evolutionary algorithms for flowshop sequencing with non-unique jobs
Publisher: Wiley
Date: 09-2000
DOI: 10.1111/J.1475-3995.2000.TB00207.X
Abstract: Sequencing problems are difficult combinatorial problems because of the extremely large search space of possible solutions and the large number of “local” optima that arise. Unlike other NP‐hard combinatorial problems, the search space, in general, for sequencing problems (under the makespan objective) consists of sequences with objective function values that lie within only a relatively small amount of each other. This means that when a change is made to the sequence, an improvement or non‐improvement is not easily recognised. This makes the problem much more difficult to solve. A number of constructive heuristics exist that obtain good solutions in a short period of time, however, the output of such algorithms is generally a single sequence which may not be feasible or preferred with respect to industry constraints. Other heuristic algorithms such as Simulated Annealing (SA) and Tabu Search (TS) have also been applied and successes have been reported. However, the performance is dependent upon a number of finely tuned parameters and the output is again only a single solution. For these reasons, Evolutionary Algorithms (EAs) may be suitable solution strategy, for which limited research has been performed. In this research, a number of new EAs have been proposed and a number of modifications have been made to several constructive algorithms to cope with non‐unique jobs or jobs with multiple demands. A numerical comparison of a number of benchmark problems and real data of a truck assembly line has also been presented.
Parallel machine scheduling and common due window assignment with job independent earliness and tardiness costs
Publisher: Elsevier BV
Date: 03-2013
An integrated rolling horizon approach to increase operating theatre efficiency
Publisher: Springer Science and Business Media LLC
Date: 23-05-2021
Scheduling trains as a blocking parallel-machine job shop scheduling problem
Publisher: Elsevier BV
Date: 10-2009
Heuristic Techniques for Single Line Train Scheduling
Publisher: Springer Science and Business Media LLC
Date: 1997
Multi-stage mine production timetabling with optimising the sizes of mining operations: an application of parallel-machine flow shop scheduling with lot streaming
Publisher: Springer Science and Business Media LLC
Date: 31-12-2022
Integration of mathematical models for ore mining industry
Publisher: Informa UK Limited
Date: 05-07-2017
A new open-pit multi-stage mine production timetabling model for drilling, blasting and excavating operations
Publisher: Maney Publishing
Date: 02-01-2016
Energy-efficient application assignment in profile-based data center management through a Repairing Genetic Algorithm
Publisher: Elsevier BV
Date: 06-2018
A new approach to spatial data interpolation using higher-order statistics
Publisher: Springer Science and Business Media LLC
Date: 20-11-2015
Increasing the operational efficiency of container terminals in Australia
Publisher: Informa UK Limited
Date: 02-1997
Job shop scheduling with a combination of four buffering constraints
Publisher: Informa UK Limited
Date: 17-11-2017
A job-shop scheduling approach for optimising sugarcane rail operations
Publisher: Springer Science and Business Media LLC
Date: 16-04-2011
Optimum capacity for intermodal container terminals
Publisher: Informa UK Limited
Date: 12-2006
Genetic algorithms to schedule container transfers at multimodal terminals
Publisher: Wiley
Date: 05-1999
Optimum utilisation of rolling stocks for iron ore mining industries
Publisher: Trans Tech Publications, Ltd.
Date: 10-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.361-363.1529
Abstract: In this paper, a generic and flexible optimisation methodology is developed to represent, model, solve and analyse the iron ore supply chain system by integrating of iron ore shipment, stockpiles and railing within a whole system. As a result, an integrated train-stockpile-ship timetable is created and optimised for improving efficiency of overall supply chain system. The proposed methodology provides better decision making on how to significantly improve rolling stock utilisation with the best cost-effectiveness ratio. Based on extensive computational experiments and analysis, insightful and quantitative advices are suggested for iron ore mine industry practitioners. The proposed methodology contributes to the sustainability of the environment by reducing pollution due to better utilisation of transportation resources and fuel.
Meta-heuristics for a complex push-pull production system
Publisher: Springer Science and Business Media LLC
Date: 06-2004
A railway capacity determination model and rail access charging methodologies
Publisher: Informa UK Limited
Date: 02-2005
A blood bank inventory control model for red blood cells
Publisher: Inderscience Publishers
Date: 2001
Scheduling trains with priorities: A no-wait Blocking Parallel-Machine Job-Shop Scheduling model
Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
Date: 05-2011
Abstract: The paper investigates train scheduling problems when prioritised trains and nonprioritised trains are simultaneously traversed in a single-line rail network. In this case, no-wait conditions arise because the prioritised trains such as express passenger trains should traverse continuously without any interruption. In comparison, nonprioritised trains such as freight trains are allowed to enter the next section immediately if possible or to remain in a section until the next section on the routing becomes available, which is thought of as a relaxation of no-wait conditions. With thorough analysis of the structural properties of the No-Wait Blocking Parallel-Machine Job-Shop Scheduling (NWBPMJSS) problem that is originated in this research, an innovative generic constructive algorithm (called NWBPMJSS_Liu-Kozan) is proposed to construct the feasible train timetable in terms of a given order of trains. In particular, the proposed NWBPMJSS_Liu-Kozan constructive algorithm comprises several recursively used subalgorithms (i.e., Best-Starting-Time-Determination Procedure, Blocking-Time-Determination Procedure, Conflict-Checking Procedure, Conflict-Eliminating Procedure, Tune-Up Procedure, and Fine-Tune Procedure) to guarantee feasibility by satisfying the blocking, no-wait, deadlock-free, and conflict-free constraints. A two-stage hybrid heuristic algorithm (NWBPMJSS_Liu-Kozan-BIH) is developed by combining the NWBPMJSS_Liu-Kozan constructive algorithm and the Best-Insertion-Heuristic (BIH) algorithm to find the preferable train schedule in an efficient and economical way. Extensive computational experiments show that the proposed methodology is promising because it can be applied as a standard and fundamental toolbox for identifying, analysing, modelling, and solving real-world scheduling problems.
Techniques for inserting additional trains into existing timetables
Publisher: Elsevier BV
Date: 09-2009
Profile-based dynamic application assignment with a repairing genetic algorithm for greener data centers
Publisher: Springer Science and Business Media LLC
Date: 06-03-2017
Job scheduling with technical constraints
Publisher: Informa UK Limited
Date: 02-2004
Nonlinear Multivariate Spatial Modeling Using NLPCA and Pair‐Copulas
Publisher: Wiley
Date: 07-04-2017
DOI: 10.1111/GEAN.12126
Metaheuristic approaches to the hybrid flow shop scheduling problem with a cost-related criterion
Publisher: Elsevier BV
Date: 02-2007
A real-time reactive framework for the surgical case sequencing problem
Publisher: Springer Science and Business Media LLC
Date: 26-10-2021
A disjunctive graph model and framework for constructing new train schedules
Publisher: Elsevier BV
Date: 2010
Optimising container storage processes at multimodal terminals
Publisher: Informa UK Limited
Date: 08-2012
An operational-level multi-stage mine production timetabling model for optimally synchronising drilling, blasting and excavating operations
Publisher: Informa UK Limited
Date: 23-03-2016
Open-pit block sequencing optimization: A mathematical model and solution technique
Publisher: Informa UK Limited
Date: 18-02-2016
Modelling the number and location of sidings on a single line railway
Publisher: Elsevier BV
Date: 03-1997
Parallel-identical-machine job-shop scheduling with different stage-dependent buffering requirements
Publisher: Elsevier BV
Date: 10-2016
Techniques for absolute capacity determination in railways
Publisher: Elsevier BV
Date: 09-2006
Comparison of analytical and simulation planning models of seaport container terminals
Publisher: Informa UK Limited
Date: 03-1997
Comparative analysis of three metaheuristics for short-term open pit block sequencing
Publisher: Springer Science and Business Media LLC
Date: 19-05-2016
Mathematical modelling of container transfers and storage locations at seaport terminals
Publisher: Springer Berlin Heidelberg
Date: 2007
An approach to determine storage locations of containers at seaport terminals
Publisher: Elsevier BV
Date: 09-2001
Spatial Pair-Copula Modeling of Grade in Ore Bodies: A Case Study
Publisher: Springer Science and Business Media LLC
Date: 04-11-2016
An open-pit multi-stage mine production scheduling model for drilling, blasting and excavating operations
Publisher: Springer International Publishing
Date: 2018
A hybrid shifting bottleneck procedure algorithm for the parallel-machine job-shop scheduling problem
Publisher: Informa UK Limited
Date: 02-2012
DOI: 10.1057/JORS.2011.4
Profiling: An application assignment approach for green data centers
Publisher: IEEE
Date: 10-2014
Mathematical modelling of container transfers and storage locations at seaport terminals
Publisher: Springer Science and Business Media LLC
Date: 05-05-2006
Dynamic resource allocation to improve emergency department efficiency in real time
Publisher: Elsevier BV
Date: 12-2016
Performance profiling for predictive train schedules
Publisher: Elsevier BV
Date: 12-2014
Block models for improved earthwork allocation planning in linear infrastructure construction
Publisher: Informa UK Limited
Date: 20-03-2015
A classification and literature survey on aviation management
Publisher: IEEE
Date: 09-2019
A real-world transport scheduler applied to Australian sugarcane industry
Publisher: IEEE
Date: 20-09-2020
Optimising a coal rail network under capacity constraints
Publisher: Springer Science and Business Media LLC
Date: 04-01-2011
Sequencing and scheduling in flowshops with task redistribution
Publisher: Informa UK Limited
Date: 12-2001
An integrated approach for scheduling health care activities in a hospital
Publisher: Elsevier BV
Date: 2018
Alternative algorithms for the optimization of a simulation model of a multimodal container terminal
Publisher: Informa UK Limited
Date: 09-2007
Related Organisations
Related Funding Activities
Designing Robust Reactive Scheduling System For Emergency Medical Services.
Start Date: 2006
End Date: 2009
Funder: Australian Research Council
View Funded ActivityCloud Scheduling And Management Of Energy Systems With Real-time Support.
Start Date: 2017
End Date: 2020
Funder: Australian Research Council
View Funded ActivityAn Integrated Mathematical Approach To Synchronise And Optimise Hospital Operations.
Start Date: 2014
End Date: 2017
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0347112
Start Date: 02-2003
End Date: 12-2008
Amount: $793,510.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0219595
Start Date: 09-2002
End Date: 05-2006
Amount: $250,706.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0882650
Start Date: 03-2008
End Date: 12-2013
Amount: $407,558.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0668273
Start Date: 2006
End Date: 12-2007
Amount: $110,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP0669156
Start Date: 07-2006
End Date: 12-2009
Amount: $290,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP110200314
Start Date: 07-2011
End Date: 05-2015
Amount: $340,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Projects - Grant ID: LP140100394
Start Date: 09-2014
End Date: 12-2018
Amount: $320,000.00
Funder: Australian Research Council
View Funded ActivityDiscovery Projects - Grant ID: DP170103305
Start Date: 2017
End Date: 06-2021
Amount: $285,000.00
Funder: Australian Research Council
View Funded Activity