Optimized Buffer Allocation and Repair Strategies for Series Production Lines
This paper proposes an efficient approach for solving the buffer allocation problem with limited number of repair resources. In this problem, the objective is to maximize the throughput of a series production line through solving the buffer allocation optimization problem and electing the best repai...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Novi Sad, Faculty of Technical Sciences
2022-12-01
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| Series: | International Journal of Industrial Engineering and Management |
| Subjects: | |
| Online Access: | http://www.ijiemjournal.uns.ac.rs/images/journal/volume13/IJIEM_316.pdf |
| _version_ | 1811195957196357632 |
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| author | Jae-Dong Honga Mustapha Nourelfath Mohammed Abouheaf |
| author_facet | Jae-Dong Honga Mustapha Nourelfath Mohammed Abouheaf |
| author_sort | Jae-Dong Honga |
| collection | DOAJ |
| description | This paper proposes an efficient approach for solving the buffer allocation problem with limited
number of repair resources. In this problem, the objective is to maximize the throughput
of a series production line through solving the buffer allocation optimization problem and
electing the best repair polices. This is done using a simulation model to estimate the throughput
combined with a self-adjusting search heuristic approach. The total count of repairmen is
constrained to be strictly less than or equal to the count of repairable machines. Therefore,
a self-adjusting search algorithm that is based on a nonlinear threshold accepting criterion is
employed to reach the best production line configurations in terms of the buffer-levels and
repair policies. The effectiveness of the combined simulation-search solution mechanism is
tested using three different scenarios with 8 different repair policies. The numerical results
showed that not only the proposed approach can find a near optimal solution in a limited
and acceptable time, but also the overall production system performance can be improved
by selecting the best repair policy. |
| first_indexed | 2024-04-12T00:50:44Z |
| format | Article |
| id | doaj.art-c439a23011dc40eab3eafc66465959e3 |
| institution | Directory Open Access Journal |
| issn | 2217-2661 2683-345X |
| language | English |
| last_indexed | 2024-04-12T00:50:44Z |
| publishDate | 2022-12-01 |
| publisher | University of Novi Sad, Faculty of Technical Sciences |
| record_format | Article |
| series | International Journal of Industrial Engineering and Management |
| spelling | doaj.art-c439a23011dc40eab3eafc66465959e32022-12-22T03:54:44ZengUniversity of Novi Sad, Faculty of Technical SciencesInternational Journal of Industrial Engineering and Management2217-26612683-345X2022-12-01134239249http://doi.org/10.24867/IJIEM-2022-4-316316Optimized Buffer Allocation and Repair Strategies for Series Production LinesJae-Dong Honga0Mustapha Nourelfath1Mohammed Abouheaf2Faculté d'Administration, Université de Moncton, Moncton (NB), CanadaMechanical Engineering Department, Université Laval, Quebec (Qc), CanadaCollege of Technology, Architecture & Applied Engineering, Bowling Green State University, Bowling Green, USAThis paper proposes an efficient approach for solving the buffer allocation problem with limited number of repair resources. In this problem, the objective is to maximize the throughput of a series production line through solving the buffer allocation optimization problem and electing the best repair polices. This is done using a simulation model to estimate the throughput combined with a self-adjusting search heuristic approach. The total count of repairmen is constrained to be strictly less than or equal to the count of repairable machines. Therefore, a self-adjusting search algorithm that is based on a nonlinear threshold accepting criterion is employed to reach the best production line configurations in terms of the buffer-levels and repair policies. The effectiveness of the combined simulation-search solution mechanism is tested using three different scenarios with 8 different repair policies. The numerical results showed that not only the proposed approach can find a near optimal solution in a limited and acceptable time, but also the overall production system performance can be improved by selecting the best repair policy.http://www.ijiemjournal.uns.ac.rs/images/journal/volume13/IJIEM_316.pdfbuffer allocationoptimizationrepair policyheuristic simulationnon-linear threshold algorithm |
| spellingShingle | Jae-Dong Honga Mustapha Nourelfath Mohammed Abouheaf Optimized Buffer Allocation and Repair Strategies for Series Production Lines International Journal of Industrial Engineering and Management buffer allocation optimization repair policy heuristic simulation non-linear threshold algorithm |
| title | Optimized Buffer Allocation and Repair Strategies for Series Production Lines |
| title_full | Optimized Buffer Allocation and Repair Strategies for Series Production Lines |
| title_fullStr | Optimized Buffer Allocation and Repair Strategies for Series Production Lines |
| title_full_unstemmed | Optimized Buffer Allocation and Repair Strategies for Series Production Lines |
| title_short | Optimized Buffer Allocation and Repair Strategies for Series Production Lines |
| title_sort | optimized buffer allocation and repair strategies for series production lines |
| topic | buffer allocation optimization repair policy heuristic simulation non-linear threshold algorithm |
| url | http://www.ijiemjournal.uns.ac.rs/images/journal/volume13/IJIEM_316.pdf |
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