Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines
Over the past five decades, the buffer allocation problem in production lines has been the topic of continuous interest. This paper proposes an adaptive simulation-optimization approach relying on particle swarm optimization (PSO) to solve the buffer allocation problem for unreliable serial producti...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10225516/ |
| _version_ | 1797733215255920640 |
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| author | Khelil Kassoul Naoufel Cheikhrouhou Nicolas Zufferey |
| author_facet | Khelil Kassoul Naoufel Cheikhrouhou Nicolas Zufferey |
| author_sort | Khelil Kassoul |
| collection | DOAJ |
| description | Over the past five decades, the buffer allocation problem in production lines has been the topic of continuous interest. This paper proposes an adaptive simulation-optimization approach relying on particle swarm optimization (PSO) to solve the buffer allocation problem for unreliable serial production lines. The objective is to maximize the production rate of the production line. The key idea is to integrate a jumping strategy based on logarithmic and exponential functions into the velocity equation of the PSO algorithm using dynamic parameters to achieve quickly (near-)optimal solutions. To evaluate the effectiveness of the proposed method, extensive numerical experiments are conducted using several configurations of production lines, ranging from 3 to 100 machines. Additionally, benchmark algorithms from the literature are employed for comparison purposes. The results indicate that the proposed adaptive approach outperforms the benchmark algorithms regarding efficiency and solution quality. |
| first_indexed | 2024-03-12T12:24:54Z |
| format | Article |
| id | doaj.art-9ff614aba6184b69beeaa2c019fb9ac6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T12:24:54Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9ff614aba6184b69beeaa2c019fb9ac62023-08-29T23:00:45ZengIEEEIEEE Access2169-35362023-01-0111904109042010.1109/ACCESS.2023.330701710225516Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production LinesKhelil Kassoul0https://orcid.org/0000-0002-0792-0534Naoufel Cheikhrouhou1https://orcid.org/0000-0003-2497-2528Nicolas Zufferey2Geneva School of Business Administration, University of Applied Sciences Western Switzerland (HES-SO), Geneva, SwitzerlandGeneva School of Business Administration, University of Applied Sciences Western Switzerland (HES-SO), Geneva, SwitzerlandGeneva School of Economics and Management (GSEM), University of Geneva, Geneva, SwitzerlandOver the past five decades, the buffer allocation problem in production lines has been the topic of continuous interest. This paper proposes an adaptive simulation-optimization approach relying on particle swarm optimization (PSO) to solve the buffer allocation problem for unreliable serial production lines. The objective is to maximize the production rate of the production line. The key idea is to integrate a jumping strategy based on logarithmic and exponential functions into the velocity equation of the PSO algorithm using dynamic parameters to achieve quickly (near-)optimal solutions. To evaluate the effectiveness of the proposed method, extensive numerical experiments are conducted using several configurations of production lines, ranging from 3 to 100 machines. Additionally, benchmark algorithms from the literature are employed for comparison purposes. The results indicate that the proposed adaptive approach outperforms the benchmark algorithms regarding efficiency and solution quality.https://ieeexplore.ieee.org/document/10225516/Buffer allocationparticle swarm optimizationproduction ratesimulationunreliable production lines |
| spellingShingle | Khelil Kassoul Naoufel Cheikhrouhou Nicolas Zufferey Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines IEEE Access Buffer allocation particle swarm optimization production rate simulation unreliable production lines |
| title | Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines |
| title_full | Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines |
| title_fullStr | Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines |
| title_full_unstemmed | Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines |
| title_short | Adaptive Dynamic Jumping Particle Swarm Optimization for Buffer Allocation in Unreliable Production Lines |
| title_sort | adaptive dynamic jumping particle swarm optimization for buffer allocation in unreliable production lines |
| topic | Buffer allocation particle swarm optimization production rate simulation unreliable production lines |
| url | https://ieeexplore.ieee.org/document/10225516/ |
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