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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...

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Main Authors: Kalaf, Bayda Atiya, Bakheet, Abdul Jabbar Khudhur, Abbas, Iraq Tereq, Abu Bakar, Mohd Rizam, Lee, Lai Soon, Monsi, Mansor
格式: Conference or Workshop Item
語言:English
出版: AIP Publishing 2016
在線閱讀:http://psasir.upm.edu.my/id/eprint/57308/1/Application%20of%20simulated%20annealing%20to%20solve%20multi-objectives%20for%20aggregate%20production%20planning.pdf
http://psasir.upm.edu.my/id/eprint/57308/
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Conference or Workshop Item
author Kalaf, Bayda Atiya
Bakheet, Abdul Jabbar Khudhur
Abbas, Iraq Tereq
Abu Bakar, Mohd Rizam
Lee, Lai Soon
Monsi, Mansor
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
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
title 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_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_sort application of simulated annealing to solve multi-objectives for aggregate production planning
publisher AIP Publishing
publishDate 2016
url http://psasir.upm.edu.my/id/eprint/57308/1/Application%20of%20simulated%20annealing%20to%20solve%20multi-objectives%20for%20aggregate%20production%20planning.pdf
http://psasir.upm.edu.my/id/eprint/57308/
_version_ 1643836448688832512
score 13.251813

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