Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique

Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique

In this study, the use of simulation technique in bi-objective optimization of assembly line balancing problem has been studied. The aim of this paper is to determine optimal allocation of human resource and equipment to parallel workstations in order to minimize the cost of adding equipment and man...

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Bibliographic Details
Main Authors: Parham Azimi, Mohammad saeed Company
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2017-10-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Optimization; Simulation; Genetic Algorithm; Production line balancing
Online Access:http://jims.atu.ac.ir/article_7988_90c3f71bd16b80e3daf0bf0b8c828f5a.pdf
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spelling doaj-b8c642c39df0470aa6377a9b932136032020-11-25T01:08:07ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292017-10-011546577110.22054/JIMS.2017.7988Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation TechniqueParham AzimiMohammad saeed CompanyIn this study, the use of simulation technique in bi-objective optimization of assembly line balancing problem has been studied. The aim of this paper is to determine optimal allocation of human resource and equipment to parallel workstations in order to minimize the cost of adding equipment and manpower among the stations and maximize the production output. In other words, with optimal use of resources, production output is maximized and therefore productivity become maximum. To this end, with optimization via simulation, the production line process is simulated in the form of a simulation model in the ED software. After validating the simulation model using design of experiment, various scenarios designed and run in the simulation model. Possible results for human resource and equipment variables, obtained by genetic algorithm are shown in a Pareto chart and have compared with the production line current situation http://jims.atu.ac.ir/article_7988_90c3f71bd16b80e3daf0bf0b8c828f5a.pdfOptimization; Simulation; Genetic Algorithm; Production line balancing
collection DOAJ
language fas
format Article
sources DOAJ
author Parham Azimi
Mohammad saeed Company
spellingShingle Parham Azimi
Mohammad saeed Company
Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Optimization; Simulation; Genetic Algorithm; Production line balancing
author_facet Parham Azimi
Mohammad saeed Company
author_sort Parham Azimi
title Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique
title_short Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique
title_full Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique
title_fullStr Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique
title_full_unstemmed Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique
title_sort developing and solving a new bi-objective model to assign human resource and equipment to parallel workstations in a product ion line using optimization via simulation technique
publisher Allameh Tabataba'i University Press
series Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
issn 2251-8029
publishDate 2017-10-01
description In this study, the use of simulation technique in bi-objective optimization of assembly line balancing problem has been studied. The aim of this paper is to determine optimal allocation of human resource and equipment to parallel workstations in order to minimize the cost of adding equipment and manpower among the stations and maximize the production output. In other words, with optimal use of resources, production output is maximized and therefore productivity become maximum. To this end, with optimization via simulation, the production line process is simulated in the form of a simulation model in the ED software. After validating the simulation model using design of experiment, various scenarios designed and run in the simulation model. Possible results for human resource and equipment variables, obtained by genetic algorithm are shown in a Pareto chart and have compared with the production line current situation
topic Optimization; Simulation; Genetic Algorithm; Production line balancing
url http://jims.atu.ac.ir/article_7988_90c3f71bd16b80e3daf0bf0b8c828f5a.pdf
work_keys_str_mv AT parhamazimi developingandsolvinganewbiobjectivemodeltoassignhumanresourceandequipmenttoparallelworkstationsinaproductionlineusingoptimizationviasimulationtechnique
AT mohammadsaeedcompany developingandsolvinganewbiobjectivemodeltoassignhumanresourceandequipmenttoparallelworkstationsinaproductionlineusingoptimizationviasimulationtechnique
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