Optimum Efficiency of the Production Line at the Automotive Industry

Production Line Balancing Problem (PLBP) is one of the most important stages in automobile manufacturing. It is a critical problem in continuous Production Line (PL), and it is one of the difficult optimization problems. PLBP includes many stations concerned with the allocation of tasks to work,...

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Main Authors: Ali, A. J. Adham, Razman, Mat Tahar
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/5594/1/9.pdf
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author Ali, A. J. Adham
Razman, Mat Tahar
author_facet Ali, A. J. Adham
Razman, Mat Tahar
author_sort Ali, A. J. Adham
collection UMP
description Production Line Balancing Problem (PLBP) is one of the most important stages in automobile manufacturing. It is a critical problem in continuous Production Line (PL), and it is one of the difficult optimization problems. PLBP includes many stations concerned with the allocation of tasks to work, where each station contains a number of operations that cooperate to achieve the task work. The main PLBP are: queuing, idling time among stations during the task achievement, and unregulated number of workers among a station, which is an obstacle to the efficient PL. In this paper, the technical constraint was carried out to minimize the queuing problem and regulate the workers by applying hybrid models; Multi-Objectives Model and Genetic Algorithm. The outcome of the mixed models assists to reduce the queuing and the idling time through harmonizing the tasks in each workstation. In addition to balance the distribution of the new workers in order to get the optimal solutions as well as improving the ability of PL with the high production rate.
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spelling UMPir55942015-06-24T01:35:24Z http://umpir.ump.edu.my/id/eprint/5594/ Optimum Efficiency of the Production Line at the Automotive Industry Ali, A. J. Adham Razman, Mat Tahar HD28 Management. Industrial Management Production Line Balancing Problem (PLBP) is one of the most important stages in automobile manufacturing. It is a critical problem in continuous Production Line (PL), and it is one of the difficult optimization problems. PLBP includes many stations concerned with the allocation of tasks to work, where each station contains a number of operations that cooperate to achieve the task work. The main PLBP are: queuing, idling time among stations during the task achievement, and unregulated number of workers among a station, which is an obstacle to the efficient PL. In this paper, the technical constraint was carried out to minimize the queuing problem and regulate the workers by applying hybrid models; Multi-Objectives Model and Genetic Algorithm. The outcome of the mixed models assists to reduce the queuing and the idling time through harmonizing the tasks in each workstation. In addition to balance the distribution of the new workers in order to get the optimal solutions as well as improving the ability of PL with the high production rate. Universiti Malaysia Pahang 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5594/1/9.pdf Ali, A. J. Adham and Razman, Mat Tahar (2012) Optimum Efficiency of the Production Line at the Automotive Industry. International Journal of Technology Management, 1. pp. 89-102. ISSN 2289-2753. (Published)
spellingShingle HD28 Management. Industrial Management
Ali, A. J. Adham
Razman, Mat Tahar
Optimum Efficiency of the Production Line at the Automotive Industry
title Optimum Efficiency of the Production Line at the Automotive Industry
title_full Optimum Efficiency of the Production Line at the Automotive Industry
title_fullStr Optimum Efficiency of the Production Line at the Automotive Industry
title_full_unstemmed Optimum Efficiency of the Production Line at the Automotive Industry
title_short Optimum Efficiency of the Production Line at the Automotive Industry
title_sort optimum efficiency of the production line at the automotive industry
topic HD28 Management. Industrial Management
url http://umpir.ump.edu.my/id/eprint/5594/1/9.pdf
work_keys_str_mv AT aliajadham optimumefficiencyoftheproductionlineattheautomotiveindustry
AT razmanmattahar optimumefficiencyoftheproductionlineattheautomotiveindustry