ORCID Profile
0000-0003-2788-2851
Current Organisation
RMIT University
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Publisher: Trans Tech Publications, Ltd.
Date: 08-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.606.265
Abstract: Today energy consumption is one of the controversial issues in the world. The rapid growing world energy consumption has already increased concern about the supply problems, heavy environmental effects such as global warming, climate change and etc. One of the most users of energy is residential buildings that consume the biggest share of energy. Growth in population, rising demand for buildings together causes to increase the upward trend in energy consumption. Therefore, energy efficiency in buildings plays a significant role to decrease the environmental effect. The goal of this paper is optimizing the main elements which are window, ceiling and wall by considering the effect of uncontrollable factors such as humidity , temperature and pressure in residential buildings using statistical method namely Taguchi method (JMP 11 software). A two-storey house in Malaysia was selected to simulate by means of BIM application. Based on the result, the optimum energy saving will be achieved when the type of material which are used for wall ,ceiling and window to be Brick Plaster , Acoustic Tile Suspended and Single Glazed Alum Frame respectively.
Publisher: Elsevier BV
Date: 2020
Publisher: Penerbit UTM Press
Date: 08-07-2014
DOI: 10.11113/JT.V69.3229
Abstract: The blood supply chain is a complex system with a multi-echelon structure. Hence, the integration of various interconnected elements, which should be synchronized appropriately, is a necessity to meet the patients’ requirements. The performance of the blood supply chain is a function of different variables that are dependent of each other. Therefore, the main aim of the chain is the optimization of the overall supply chain by considering the dynamic behavior of the system. The purpose of this study is to develop a system dynamic simulation model for a complex blood supply chain in order to improve the average level of inventories. The developed model is based on three echelons with a centrality on a regional blood center. The performance of the supply chain network in the current condition is investigated and based on the objectives, 17 scenarios were experimented for improving the average level of inventories to avoid outdates while there are not any backlogged orders. In addition, the best values of the investigated parameters (safety stock, supplier preparing lead time, in transit time and separation time) were determined.
Publisher: Elsevier BV
Date: 12-2021
Publisher: OMICS Publishing Group
Date: 2016
Publisher: Elsevier BV
Date: 07-2022
Publisher: EDP Sciences
Date: 2017
Publisher: Trans Tech Publications, Ltd.
Date: 12-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.845.770
Abstract: In the manufacturing industry, managers and engineers are seeking to find methods in order to eliminate the common problems in manufacturing systems such as bottlenecks and waiting times. This is because that all of these kinds of problems impose extra cost to the companies. In addition, manufacturing companies are striving to sustain their competitiveness by improving productivity, efficiency and quality of manufacturing industry for instance high throughput and high resource utilization. The paper concentrates on the application of computer simulation to analysis manufacturing system in order to improve the productivity. Therefore, this study introduces a color manufacturing line as a case study and the basic application of arena 13.9 software. The goal of this paper is to improve the productivity and efficiency of the production line by using computer simulation. To achieve this goal, first the basic model of the current situation of production line was simulated. Second, three different alternatives were simulated and modified to find the best scenario based on the maximum productivity and minimum total cost.
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 2020
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 2021
Publisher: Emerald
Date: 06-06-2016
DOI: 10.1108/IJLSS-03-2015-0010
Abstract: Lean manufacturing (LM) practices and tools are among the key concepts that assist managers and engineers sustain competitiveness in an expanding global market. The purpose of this paper is to identify effective practices and tools of lean manufacturing implementation in an Iranian manufacturing industry. This study used a quantitative method. Stratified random s ling and self-administrated questionnaires were sent to respondents in an Iranian manufacturing industry. The final results indicate that processes and equipment, planning and control, supplier relationship, human resources and customer relations are significant practices in lean manufacturing in Iranian manufacturing factories. The results from this survey additionally show that lean tools such as Kaizen, 5S, setup time reduction, cellular manufacturing, continuous flow, equipment layout, product design simplicity and error proof equipment are crucial to lean manufacturing implementation. This study focused solely on a manufacturing industry in Iran that deals with electrical, electronic, metal, plastic, rubber and other automotive components. The findings of this study emphasize some implications and suggest that reducing cost is more effective and decreased inventory is less effective on lean manufacturing implementation. The current study results should assist quality mangers, product managers and director managers as well as academicians. An investigation was carried out in this study based on the current situation of Iran’s manufacturing industry to empirically examine and evaluate the effect of lean practices and tools. Besides, a very limited number of studies have been done regarding the implementation of lean thinking and practices in Iran’s manufacturing industry.
Publisher: MDPI AG
Date: 20-07-2019
DOI: 10.3390/MA12142320
Abstract: Granulation is an important step during the production of urea granules. Most of the commercial binders used for granulation are toxic and non-biodegradable. In this study, a fully biodegradable and cost-effective starch-based binder is used for urea granulation in a fluidized bed granulator. The effect of binder properties such as viscosity, surface tension, contact angle, penetration time, and liquid bridge bonding force on granulation performance is studied. In addition, the effect of fluidized bed process parameters such as fluidizing air inlet velocity, air temperature, weight of primary urea particles, binder spray rate, and binder concentration is also evaluated using response surface methodology. Based on the results, binder with higher concentration demonstrates higher viscosity and higher penetration time that potentially enhance the granulation performance. The viscous Stokes number for binder with higher concentration is lower than critical Stokes number that increases coalescence rate. Higher viscosity and lower restitution coefficient of urea particles result in elastic losses and subsequent successful coalescence. Statistical analysis indicate that air velocity, air temperature, and weight of primary urea particles have major effects on granulation performance. Higher air velocity increases probability of collision, whereby lower temperature prevents binder to be dried up prior to collision. Findings of this study can be useful for process scale-up and industrial application.
Publisher: Elsevier BV
Date: 2022
Publisher: EDP Sciences
Date: 2018
DOI: 10.1051/MATECCONF/201822501004
Abstract: Firm’s efficiency and competitiveness are two important challenges in today’s global market that have motivated many manufacturing firms to plan novel manufacturing management strategies. Nowadays, simulation models have been used to assess different aspects of manufacturing systems. This paper introduces a welding unit of a manufacturing line of heater production as a case study and the basic application of the ARENA software. The main goal of this paper is increasing the productivity of the production line by using computer simulation. To achieve this goal, three various scenarios are compared and suggested to obtain the better improvement in productivity.
Publisher: Elsevier BV
Date: 07-2018
Publisher: Trans Tech Publications, Ltd.
Date: 02-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.902.431
Abstract: A queuing network model related to arrival, departure and berthing process of ships at port container terminal is presented in this paper. The important datas collected from PTP port container terminal located at Malaysia. Based on the case study the model was built with using Arena 13.5 simulation software. Especially this study proposes a hybrid approach consisting of Genetic algorithm (GA), Artificial Neural Network (ANN) to find the the optimum number of equipments at berthing area of port container terminal. The input data that used in ANN obtained from Arena results. The main goal of this study is reduced waiting time of each ship at port container terminal, and Based on the result the optimum waiting time 50 will be achieved.
Publisher: Elsevier BV
Date: 11-2020
Publisher: Penerbit UTM Press
Date: 05-2014
DOI: 10.11113/JT.V68.2931
Abstract: Port container terminal is one of the important transition points in the shipping industry. Competitiveness is an important factor for port container terminal with the increase in the number of port terminals globally. Vessel processing time port terminals is one of the important factors that influence the port terminal attractiveness. In addition, most port terminals tried to reduce ship waiting time with enhancement of their facilities. This paper focused on the ship waiting time at the berthing area of port container terminal, and tried to solve the queuing problem at ship tugging operation in order to reduce the average waiting time. The data was collected from a major port container terminal in Malaysia as a case study. The port terminal is modeled with Arena 13.5 simulation software and model validation was done based on real data which was taken from the case study. Different scenarios were then tested on the tugging operation at the port simulation model. The results show that after the implementation of these scenarios, the average ship waiting time at the berthing area decreased dramatically from 180 hours to 140 hours for each ship.
Publisher: Informa UK Limited
Date: 30-11-2017
Publisher: Penerbit UTM Press
Date: 10-09-2013
DOI: 10.11113/JT.V64.1315
Abstract: Construction managers and planners are always involved in answering questions regarding the effects of changing the level of resources involved in construction activities on project performance. The planners strive to determine the best resource level combination that optimizes the performance measures such as productivity. In this study, a unique approach involving the combined use of a powerful Quality Engineering tool, Design of Experiment (DOE) and Simulation for determining the best combination of resources level for a real-world construction process, viz. concrete pouring process. DOE enabled the experimental plan to be designed in the form of a twice replicated, 24 full factorial designs with 5 center points. This experimental plan involved 37 experiments. Simulation has enabled the construction process investigated to be realistically modelled. Therefore, instead of performing field trials involving 37 experiments, these experiments are simulated in order to obtain the response investigated, which is productivity. A model, for predicting concrete pouring process productivity, was successfully developed and the optimum resources level was also determined.
Publisher: Elsevier BV
Date: 11-2019
Publisher: Penerbit UTM Press
Date: 05-2014
DOI: 10.11113/JT.V68.2957
Abstract: Lean Manufacturing (LM) is a business strategy that was developed in Japan. The main contribution of lean manufacturing is the identification and elimination of waste. Companies apply LM to sustain their competitiveness over their competitors by improving the manufacturing system’s productivity and quality enhancement of the product. The goal of this paper is to apply one of the most significant lean manufacturing techniques called Value Stream Mapping (VSM) to improve the production line of a company that produces several components for vehicle assembly line by decreasing the waste and non-value added activities. First, the current value stream map of production line was developed using personal interviews, observations and secondary data of the company. Subsequently, the future value stream map was proposed based on the lean manufacturing principles to improve total production lead time and value added time. Based on the final result it can be concluded that VSM is a useful and applicable approach that can help managers conceptualize the different kind of wastes and defects. Final result showed that the production lead time and value added time improved up to nearly 80 % and 12 % respectively by eliminating the wastes based on lean principles and VMS method.
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 12-2016
Publisher: Springer Science and Business Media LLC
Date: 09-04-2018
Publisher: Emerald
Date: 26-06-2018
DOI: 10.1108/IJLSS-11-2016-0069
Abstract: This study aims to concentrate on quality improvement in plain yogurt production process at company A through adjusting the factors affecting the acidity of the yogurt and determining the optimal level of these factors. Six Sigma-based framework using define-measure-analyze-improve-control (DMAIC) methodology is adopted through the application of design of experiments tool to focus on customer’s requirements to improve the quality characteristic of plain yogurt production process in dairy products manufacturing company (company A) in Iran. The results showed that incubation time and fat percentage were significant factors on pH values of yogurt and the optimum settings for these factors were defined as 12 h for the incubation time and 1.5 per cent for the fat percentage. This study focused solely on the plain yogurt production process in dairy products manufacturing company. Simplicity of Six Sigma plays a leading role for enabling any dairy manufacturer to determine the problem and minimize its cause through a systematic approach. Six Sigma has been considered to be a systematic, powerful technique to continuously improve the processes and develop the new products by using effective analytical and statistical tools and methods. This paper presents a Six Sigma-based framework using DMAIC methodology to improve the quality characteristic of plain yogurt production process in dairy products manufacturing company. This study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the quality of yogurt production process. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other processes, where causes particularly are not clear.
Publisher: Trans Tech Publications, Ltd.
Date: 08-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.606.199
Abstract: Productivity plays a significant role for most companies in order to measure the efficiency. In reality there is an essential need to evaluate the different factors which increasing productivity and achieving the high level of quality, high production rate , machine utilization. On the other hand, manufacturing companies are striving to sustain their competitiveness by improving productivity and quality of manufacturing industry. So it can be acquired by finding ways to deal with various industrial problems which have affected the productivity of manufacturing systems. This paper aims at applying statistical analysis and computer simulation to recognize and to weight the significance of different factors in the production line. Based on the final result the two factors which are B (Number of labor) and C (Failure time of lifter) have the most significant effect on the manufacturing system productivity. In order to achieve the maximum productivity the factors should be placed on the levels which are: A= -1, B=1, C=1 and D=1. This means that the service rate of mixer = UNIF (20, 40), number of labor=20, failure time of lifter =60 min and number of permil=5 respectively.
Publisher: Elsevier BV
Date: 03-2021
Publisher: Elsevier BV
Date: 05-2022
Publisher: Springer Singapore
Date: 20-09-2019
Publisher: Trans Tech Publications, Ltd.
Date: 08-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.606.259
Abstract: With advent of high technologies, simulation software becomes more applicable between organizations’ managers. Simulation can model the real situation on a visual program. It will make the understanding of system, properly. Nowadays in each organization, the main considered factor is how they can improve its services confidently. This study emphasize on customer satisfaction and reducing the waiting time for customers in a bank service system. The goal of this paper is applying ARENA simulation software for modeling the system and measuring the performances. In addition, three strategies are implemented that each strategy consists of several scenarios. 17 possible scenarios are compared to achieve all kind of results that can be imagined. It would be very helpful for manager to analyzes and compare the results then find the lowest and highest effective element for improvement.
Publisher: Elsevier BV
Date: 2015
Publisher: Penerbit UTM Press
Date: 02-07-2014
DOI: 10.11113/JT.V69.3215
Abstract: Green building and energy consumption are two important issues in the construction industry. Residential buildings use the biggest share of energy throughout the world. Based on investigations, most of the existing green buildings are not really energy efficient. The estimation of energy consumptions for building has become a critical approach to achieve the goals on energy consumption and to decrease emissions. There are multiple factors for energy performance of buildings, such as building characteristics, main elements and equipment, climate factors, occupants and sociological influences. This paper shows a study of energy saving enhancement methods in residential buildings by considering the three climate factors that are temperature, humidity and airflow. To achieve this goal, building simulation and classical Design of Experiment (DOE) were combined to assess the effect of these climate factors on energy saving and cooling load. Based on the ANOVA test analysis, temperature and humidity have the most significant effect on energy saving. Moreover, the optimum saving energy within the range of the model with the value of 191525 is gained at the A (temperature) and B (humidity), which are equal to 20 °C and 60%, respectively.
Publisher: Elsevier BV
Date: 2015
Publisher: Penerbit UTM Press
Date: 20-06-2014
DOI: 10.11113/JT.V69.2225
Abstract: One of the most controversial issues in construction management is performance measurement. Construction managers are always involved in evaluation of resource changes which effect process performance. Due to limitations and also cost of resources, resource allocation has become a complex task in construction projects. To evaluate the effects of different resources on total project performance, managers strive to allocate limited resources by determining resource combinations. This paper aims at conducting Taguchi method along with computer simulation to determine the optimum combination of resources for a real world case study involving a concrete pouring operation in order to reduce cycle time and process costs. The proposed simulation model was conducted under Arena 13.9. Final result shows that the optimum resource combination will be achieved when all of resources are located in the low level. This means that number of trucks, spreader crew, vibrator crew and finisher crew should be equal to 3, 1, 1, and 1 respectively to improve the total performance.
Publisher: Elsevier BV
Date: 04-2015
Publisher: Elsevier BV
Date: 03-2022
Publisher: Elsevier BV
Date: 2021
Publisher: Penerbit UTM Press
Date: 08-01-2015
DOI: 10.11113/JT.V72.3919
Abstract: In the manufacturing industry, managers and engineers are trying to sustain their competitiveness by achieving high output and productivity. There are some common problems such as waiting times, failures, reworks in production line that impose extra cost to the companies. Therefore, companies are striving to find methods in order to determine and deal with problems using different methods such as mathematical, statistical and computer simulation. The goal of this paper is to increase the total output production and to improve productivity using computer simulation and Taguchi method. This paper introduces a color manufacturing line as a case study which is simulated using arena 13.9 software. Following that the Taguchi method is applied to assess the effect of controllable and uncontrollable factors on the total output production. According to the result of JMP 10 software to conduct Taguchi experiment, the maximum desirability of productivity will be achieved when the value of factors such service rate of delpak machine=UNIF (30, 40), number of labor=14, inspection time=120 and number of Permil=5. Taguchi Method plays an efficient and suitable role in the process improvement, proposing adjustments that will provide an improvement in the productivity.
Publisher: Penerbit UTM Press
Date: 15-05-2014
DOI: 10.11113/JT.V68.2988
Abstract: One of the controversial issues in manufacturing companies is bottleneck. Managers and engineers try to deal with this difficulty to improve the productivity such as increasing resource utilization and throughput. One color factory is selected as a case study in this paper. This company tries to identify and decrease the bottlenecks in the production line. The goal of this paper is building the simulation model of production line to improve the productivity by analyzing the bottleneck. To achieve this goal, statistical method named design of experiment (DOE) was performed in order to find the optimum combination of factors that have the significant effect on the process productivity. The analysis shows that all of the main factors have a significant effect on the production line productivity. The optimum value of productivity is achieved when the number of delpak mixer (C) and number of lifter (D) to be located at high level that is equal to 2 and 2 respectively. The most significant conclusion of this study is that 3.2 labors are required to reach maximum productivity based on the resource utilization and cost. It means that 3 full time labors and one part time labor should be employed for the production line.
Publisher: Trans Tech Publications, Ltd.
Date: 05-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.933.744
Abstract: One of the controversial issues in manufacturing systems is bottleneck. Managers and engineers are trying to find methods to eliminate the bottlenecks and waiting times in the production line. More over the manufacturing companies are striving to sustain their competiveness by decreasing the bottlenecks, total cost and increasing the productivity. The objective of this study is applying the computer simulation to analysis the production line bottlenecks. To achieve this goal a color manufacturing line was selected as a case study and the basic application of arena 13.9 software. Finally the some modifications in the simulation model are proposed to improve the production line as well as to decrease the bottleneck.
Publisher: Omnia Publisher SL
Date: 12-05-2016
DOI: 10.3926/JIEM.1425
Abstract: Purpose: Manufacturing systems include a complicated combination of resources, such as materials, labors, and machines. Hence, when the manufacturing systems are faced with a problem related to the availability of resources it is difficult to identify the root of the problem accurately and effectively. Managers and engineers in companies are trying to achieve a robust production line based on the maximum productivity. The main goal of this paper is to design a robust production line, taking productivity into account in the selected manufacturing industry.Design/methodology/approach: This paper presents the application of Taguchi method along with computer simulation for finding an optimum factor setting for three controllable factors, which are a number of welding machines, hydraulic machines, and cutting machines by analyzing the effect of noise factors in a selected manufacturing industry.Findings and Originality/value: Based on the final results, the optimal design parameter of welding unit of in the selected manufacturing industry will be obtained when factor A is located at level 2 and B and C are located at level 1. Therefore, maximum productive desirability is achieved when the number of welding machines, hydraulic machines, and cutting machines is equal to 17, 2, and 1, respectively. This paper has a significant role in designing a robust production line by considering the lowest cost and timely manner based on the Taguchi method.
Publisher: Emerald
Date: 04-04-2016
DOI: 10.1108/JMTM-11-2015-0093
Abstract: – An agile supply chain (ASC) includes companies that are operationally linked to each other, such as supply, design, manufacturing and distribution centers that respond and react quickly and effectively to change markets. Information systems and technology have a main role in achieving this objective. Therefore, the purpose of this paper is to examine the relationship between information integration, information infrastructure flexibility and the ASC in the Iranian power plant industry (IPPI). – The quantitative method was employed in this study. Survey questionnaires were sent to 87 managers in the IPPI to examine the relationship between information integration, information infrastructure flexibility, and the ASC. – The final results indicated that information sharing and responsibility were strongly related with the ASC accessibility and connectivity had important relations with the ASC while the relationships between compatibility and adaptableness as IT flexibility variables and ASC were positive but not significant. – This study focussed on the impact of IT on the IPPI specifically companies that manufacture boilers, electronic control tools, turbines, turbine blades, generators and other power plant-related components. – A new research model was developed to assess the impact of the interrelationships among IT capabilities and the ASC and results should assist managers as well as academicians. – An investigation was carried out through this study based on the current situation in IPPI to empirically examine and evaluate the effect of IT integration and flexibility on ASC. Besides, a very limited number of studies have been done on the implementation of information technology in the IPPI.
Publisher: IEEE
Date: 19-02-2021
Publisher: Springer Science and Business Media LLC
Date: 27-04-2020
No related grants have been discovered for Seyed Mojib Zahraee.