Application of simulated annealing to solve multi-objectives for aggregate production planning
Aggregate production planning (APP) is one of the most significant and complicated problems in production planning and aim to set overall production levels for each product category to meet fluctuating or uncertain demand in future and to set decision concerning hiring, firing, overtime, subcontract...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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AIP Publishing
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/57308/ http://psasir.upm.edu.my/id/eprint/57308/1/Application%20of%20simulated%20annealing%20to%20solve%20multi-objectives%20for%20aggregate%20production%20planning.pdf |
| _version_ | 1848853328969072640 |
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| author | Kalaf, Bayda Atiya Bakheet, Abdul Jabbar Khudhur Abbas, Iraq Tereq Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor |
| author_facet | Kalaf, Bayda Atiya Bakheet, Abdul Jabbar Khudhur Abbas, Iraq Tereq Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor |
| author_sort | Kalaf, Bayda Atiya |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Aggregate production planning (APP) is one of the most significant and complicated problems in production planning and aim to set overall production levels for each product category to meet fluctuating or uncertain demand in future and to set decision concerning hiring, firing, overtime, subcontract, carrying inventory level. In this paper, we present a simulated annealing (SA) for multi-objective linear programming to solve APP. SA is considered to be a good tool for imprecise optimization problems. The proposed model minimizes total production and workforce costs. In this study, the proposed SA is compared with particle swarm optimization (PSO). The results show that the proposed SA is effective in reducing total production costs and requires minimal time. |
| first_indexed | 2025-11-15T10:52:14Z |
| format | Conference or Workshop Item |
| id | upm-57308 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:52:14Z |
| publishDate | 2016 |
| publisher | AIP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-573082017-09-26T04:02:42Z http://psasir.upm.edu.my/id/eprint/57308/ Application of simulated annealing to solve multi-objectives for aggregate production planning Kalaf, Bayda Atiya Bakheet, Abdul Jabbar Khudhur Abbas, Iraq Tereq Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor Aggregate production planning (APP) is one of the most significant and complicated problems in production planning and aim to set overall production levels for each product category to meet fluctuating or uncertain demand in future and to set decision concerning hiring, firing, overtime, subcontract, carrying inventory level. In this paper, we present a simulated annealing (SA) for multi-objective linear programming to solve APP. SA is considered to be a good tool for imprecise optimization problems. The proposed model minimizes total production and workforce costs. In this study, the proposed SA is compared with particle swarm optimization (PSO). The results show that the proposed SA is effective in reducing total production costs and requires minimal time. AIP Publishing 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57308/1/Application%20of%20simulated%20annealing%20to%20solve%20multi-objectives%20for%20aggregate%20production%20planning.pdf Kalaf, Bayda Atiya and Bakheet, Abdul Jabbar Khudhur and Abbas, Iraq Tereq and Abu Bakar, Mohd Rizam and Lee, Lai Soon and Monsi, Mansor (2016) Application of simulated annealing to solve multi-objectives for aggregate production planning. In: 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016), 26-28 Jan. 2016, Kuala Lumpur, Malaysia. (pp. 1-6). 10.1063/1.4952566 |
| spellingShingle | Kalaf, Bayda Atiya Bakheet, Abdul Jabbar Khudhur Abbas, Iraq Tereq Abu Bakar, Mohd Rizam Lee, Lai Soon Monsi, Mansor Application of simulated annealing to solve multi-objectives for aggregate production planning |
| title | Application of simulated annealing to solve multi-objectives for aggregate production planning |
| title_full | Application of simulated annealing to solve multi-objectives for aggregate production planning |
| title_fullStr | Application of simulated annealing to solve multi-objectives for aggregate production planning |
| title_full_unstemmed | Application of simulated annealing to solve multi-objectives for aggregate production planning |
| title_short | Application of simulated annealing to solve multi-objectives for aggregate production planning |
| title_sort | application of simulated annealing to solve multi-objectives for aggregate production planning |
| url | http://psasir.upm.edu.my/id/eprint/57308/ http://psasir.upm.edu.my/id/eprint/57308/ http://psasir.upm.edu.my/id/eprint/57308/1/Application%20of%20simulated%20annealing%20to%20solve%20multi-objectives%20for%20aggregate%20production%20planning.pdf |