Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system
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my.unimap-759962022-08-23T02:13:54Z Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system Rohana, Abdullah Rohana, Abdullah M. N., Abd Rahman A. H., Abdul Rasib M. I. H., C. Abdullah H. O., Mansoor rohana_abdullah@utem.edu.my Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM) Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka (UTeM) College of Administration and Economics, University of Fallujah Simulation modelling Maynard Operational Sequence Technique (MOST) Work study Manpower allocation Link to publisher's homepage at http://ijneam.unimap.edu.my A well-balanced manufacturing system is key for ensuring a smooth production flow and the most efficient use of manpower and equipment This study aims to improve the cellular manufacturing system’s assembly line balance and achieve optimal manpower utilisation at the bottleneck process. The methodology for evaluating the equipment and manpower performance for the manufacturing system was WITNESS simulation modelling and Maynard Operational Sequence Technique. Based on the simulation results, the test process was the bottleneck and the existing production was struggling to meet the customer demand due to machine shortages. Overproduction waste and a high work in progress inventory were discovered due to an imbalance in the Die Clip Bond and Trim and Mark processes causing overproduction wastes and very high work in progress inventory. A more balanced production line was observed after changes to the Die Clip Bond, Test and Mark and Test machine configurations. Inventory wastes at the Die Clip Bond and Trim and Mark were reduced by 52% and 73%, respectively. The test area’s manpower was kept at two, but two machines were added to increase the machine capacity and meet expected increases in customer demand. The top three major contributors to the high manpower utilisation of 98% during stagger break were identified and proposed to be the focus for productivity improvement projects. Overall, simulation and MOST work study technique have proven to be effective tools for evaluating the performance of cellular manufacturing system. 2022-08-23T02:13:54Z 2022-08-23T02:13:54Z 2022-03 Article International Journal of Nanoelectronics and Materials, vol.15 (Special Issue), 2022, pages 313-321 1997-4434 (Online) 1985-5761 (Printed) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75996 http://ijneam.unimap.edu.my en Special Issue ISSTE 2022; Universiti Malaysia Perlis (UniMAP) |
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Simulation modelling Maynard Operational Sequence Technique (MOST) Work study Manpower allocation Rohana, Abdullah Rohana, Abdullah M. N., Abd Rahman A. H., Abdul Rasib M. I. H., C. Abdullah H. O., Mansoor Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
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Link to publisher's homepage at http://ijneam.unimap.edu.my |
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rohana_abdullah@utem.edu.my |
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rohana_abdullah@utem.edu.my Rohana, Abdullah Rohana, Abdullah M. N., Abd Rahman A. H., Abdul Rasib M. I. H., C. Abdullah H. O., Mansoor |
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Article |
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Rohana, Abdullah Rohana, Abdullah M. N., Abd Rahman A. H., Abdul Rasib M. I. H., C. Abdullah H. O., Mansoor |
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Rohana, Abdullah |
title |
Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
title_short |
Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
title_full |
Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
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Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
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Simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
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simulation-based assembly line balancing and manpower allocation in a cellular manufacturing system |
publisher |
Universiti Malaysia Perlis (UniMAP) |
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2022 |
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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75996 |
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1751537860274552832 |
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13.222552 |