Mixed-model assembly line balancing problem in multi-demand scenarios
The mixed-model assembly line balancing problem (MMALBP) in multi-demand scenarios is investigated, which addresses demand fluctuations for each product in each scenario. The objective is to minimize the sum of costs associated with tasks allocation, workstation activation, and penalty cost...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2023-01-01
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| Series: | International Journal of Industrial Engineering Computations |
| Online Access: | http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_34.pdf |
| _version_ | 1797683940579868672 |
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| author | Kang Wang Qianqian Han Zhenping Li |
| author_facet | Kang Wang Qianqian Han Zhenping Li |
| author_sort | Kang Wang |
| collection | DOAJ |
| description | The mixed-model assembly line balancing problem (MMALBP) in multi-demand scenarios is investigated, which addresses demand fluctuations for each product in each scenario. The objective is to minimize the sum of costs associated with tasks allocation, workstation activation, and penalty costs for unbalanced workloads. A mixed integer programming model is developed to consider the constraint of workstation space capacity. A phased heuristic algorithm is designed to solve the problem. The computational results show that considering demand fluctuations in multiple demand scenarios leads to more balanced workstation loads and improved assembly line production efficiency. Finally, sensitivity analysis of important parameters is conducted to summarize the impact of parameter changes on the results and provide practical management insights. |
| first_indexed | 2024-03-12T00:23:07Z |
| format | Article |
| id | doaj.art-787024e7c7634fcabb4d3079e05ff786 |
| institution | Directory Open Access Journal |
| issn | 1923-2926 1923-2934 |
| language | English |
| last_indexed | 2024-03-12T00:23:07Z |
| publishDate | 2023-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Industrial Engineering Computations |
| spelling | doaj.art-787024e7c7634fcabb4d3079e05ff7862023-09-15T12:02:20ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342023-01-0114464565810.5267/j.ijiec.2023.9.002Mixed-model assembly line balancing problem in multi-demand scenariosKang WangQianqian HanZhenping Li The mixed-model assembly line balancing problem (MMALBP) in multi-demand scenarios is investigated, which addresses demand fluctuations for each product in each scenario. The objective is to minimize the sum of costs associated with tasks allocation, workstation activation, and penalty costs for unbalanced workloads. A mixed integer programming model is developed to consider the constraint of workstation space capacity. A phased heuristic algorithm is designed to solve the problem. The computational results show that considering demand fluctuations in multiple demand scenarios leads to more balanced workstation loads and improved assembly line production efficiency. Finally, sensitivity analysis of important parameters is conducted to summarize the impact of parameter changes on the results and provide practical management insights.http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_34.pdf |
| spellingShingle | Kang Wang Qianqian Han Zhenping Li Mixed-model assembly line balancing problem in multi-demand scenarios International Journal of Industrial Engineering Computations |
| title | Mixed-model assembly line balancing problem in multi-demand scenarios |
| title_full | Mixed-model assembly line balancing problem in multi-demand scenarios |
| title_fullStr | Mixed-model assembly line balancing problem in multi-demand scenarios |
| title_full_unstemmed | Mixed-model assembly line balancing problem in multi-demand scenarios |
| title_short | Mixed-model assembly line balancing problem in multi-demand scenarios |
| title_sort | mixed model assembly line balancing problem in multi demand scenarios |
| url | http://www.growingscience.com/ijiec/Vol14/IJIEC_2023_34.pdf |
| work_keys_str_mv | AT kangwang mixedmodelassemblylinebalancingprobleminmultidemandscenarios AT qianqianhan mixedmodelassemblylinebalancingprobleminmultidemandscenarios AT zhenpingli mixedmodelassemblylinebalancingprobleminmultidemandscenarios |