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Paper
Title

New Approaches in Meta-heuristics to Schedule Purposeful Inspections of Workshops in Manufacturing Supply Chains

Year: 1399
COI: JR_IJE-33-5_015
Language: EnglishView: 179
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Authors

N. Akbarpour - Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran
M. Hajiaghaei-Keshteli - Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran
R. Tavakkoli-Moghaddam - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract:

Nowadays, with the growth of technology and the industrialization of societies, work-related accidents, and consequently the threat of human capital and material resources are among the problems of the countries of the world. The most important legal solution in most countries to control occupational accidents and illnesses is to conduct periodic site visits and identify hazardous sites. To the best of our knowledge, no study from the supply chain point of view has been reported to model and address this kind of problem. Thus, this paper is to select the best route that reduces the time elapsed between the workshops and the visit time of the inspectors by using two-tier supply chain simulation coupled with the vehicle routing problem (VRP) to give them more opportunity to visit more workshops. In this study, by considering the number of workshops, the limitation of the number of the existing inspectors and the priority of inspecting the workshops, a bi-objective mathematical model is presented. The main aims are to maximize the number of visited workshops and minimize travel times and workshops visit times. In this study, three meta-heuristics (i.e., SA, SEO and RDA) and two hybrid algorithms are used to address the model. Then, the quality of the meta-heuristics and hybrid algorithms are evaluated and compared by using four metrics. The SEO algorithm provides the best performance; however, in a long time, the hybrid GASA algorithm provides the worst performance. Finally, a real-case study is used to validate the presented model.

Keywords:

Inspection Planning Meta , heuristic and Hybrid Algorithms Occupational Safety Vehicle Routing Problem

Paper COI Code

This Paper COI Code is JR_IJE-33-5_015. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1021736/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Akbarpour, N. and Hajiaghaei-Keshteli, M. and Tavakkoli-Moghaddam, R.,1399,New Approaches in Meta-heuristics to Schedule Purposeful Inspections of Workshops in Manufacturing Supply Chains,https://civilica.com/doc/1021736

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