A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry

Dengız, Berna; İç, Yusuf Tansel; Belgin, Önder

doi:10.1016/j.matcom.2015.07.005

Cited by 33 publications

(21 citation statements)

References 32 publications

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“…In simulation-based optimization, candidates are evaluated on the basis of simulation results, while in pure optimization, these evaluations are done by math expressions. Just recently, simulation-based optimization method has been successfully used to optimize ambulance fleet allocation and base station locations [28], to determine the best design and control factors of a paint shop production line in an automotive company [29], and to decide the best vehicle schedules for housekeeping in a container transshipment terminal [30]. To the extent of our knowledge, this method has not been used in ACT.…”

Section: Related Work and Methodologymentioning

confidence: 99%

Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

Zhao

Xia

et al. 2015

Mathematical Problems in Engineering

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Storage allocation of outbound containers is a key factor of the performance of container handling system in automated container terminals. Improper storage plans of outbound containers make QC waiting inevitable; hence, the vessel handling time will be lengthened. A simulation-based optimization method is proposed in this paper for the storage allocation problem of outbound containers in automated container terminals (SAPOBA). A simulation model is built up by Timed-Colored-Petri-Net (TCPN), used to evaluate the QC waiting time of storage plans. Two optimization approaches, based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proposed to form the complete simulation-based optimization method. Effectiveness of this method is verified by experiment, as the comparison of the two optimization approaches.

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Section: Related Work and Methodologymentioning

confidence: 99%

Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

Zhao

Xia

et al. 2015

Mathematical Problems in Engineering

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“…Moreover, this model can provide a 51% improvement in the level of existing costs, while the study of Zeinali et al [4] managed to provide a 49% improvement. Also, compared to another study performed by Dengiz et al [7] a better regression meta-model was offered due to their sufficient consideration of statistical analyses. They developed a production control model for a paint shop department in an automotive company in Turkey.…”

Section: ( )mentioning

confidence: 99%

“…They developed a production control model for a paint shop department in an automotive company in Turkey. Dengiz et al [7] employed a regression meta-model with three interaction effects in their study and only provided a 15% improvement (maximum number of buses painted daily (10.475 buses)) in the investigation process. Thus, in the present research, a better level of improvement (51%) in the main study objective was obtained compared to this regression meta-model.…”

Section: ( )mentioning

confidence: 99%

A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

Bahari

Asadi

2020

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Background: Effective Decision Making on the resources of the ED plays a significant role in the performance of the department. Since wrong decisions can have irreparable consequences on the quality of services, the decision-makers should analyze and allocate the resources effectively. Methods: The present study aimed to investigate the effective resources in the emergency department and provide an optimal combination of these resources based on the meta-modeling optimization approach to reduce the wait time for patients in the ED. Results:The results demonstrated that the number of CHWs and beds played a significant role in the total average wait time for patients. Although the effect of other variables was not statistically significant, they were deliberately used in this study to determine the optimal combination of such variables by solving the problem. Conclusion: The findings of the present simulation-model approach provide hospital managers with valuable data in order to control and re-design the admission to discharge procedure in the emergency in order to enhance efficiency. By considering the budget, the new configuration of 2 Community Health Worker, 1 Receptionist, 1 nurses, 3 Cardiologist and 10 beds, with 142 minutes of a patient's wait time shows 49.6% wait time improvement and a reduction of 51% in the cost of resource usage.

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“…In another study, the statistical Taguchi method and computer simulation were combined to investigate the impacts of main and uncontrollable parameters on the overall production output in the paint factory [14]. Dengiz et al [15] showed how the combination of regression meta-modeling techniques and simulation modeling can be applied to design and improve a real automotive manufacturing system. Based on these investigations, computer simulation has improved the productivity of manufacturing processes and reduced trials and errors to find the best solution [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Computer Simulation for Productivity Improvement of Welding Unit in a Heater Manufacturing Industry: A Case Study Based on Arena

et al. 2018

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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.

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A meta-model based simulation optimization using hybrid simulation-analytical modeling to increase the productivity in automotive industry

Cited by 33 publications

References 32 publications

Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

A Simulation Optimization Approach for Resource Allocation in an Emergency Department Healthcare Unit

Application of Computer Simulation for Productivity Improvement of Welding Unit in a Heater Manufacturing Industry: A Case Study Based on Arena

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