Modeling and Optimization of Aggregate Production Planning- A Genetic Algorithm Approach

Fahimnia, B; Luong, L; Marian, R

Modeling and Optimization of Aggregate Production Planning- A Genetic Algorithm Approach

Fahimnia, B Luong, L Marian, R

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Publisher:: World Academy of Science, Engineering and Technology - WASET
Publication Type:: Journal Article
Citation:: World Academy of Science, Engineering and Technology, 2008, 21 pp. 1007 - 1012
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Fahimnia, B	en_US
dc.contributor.author	Luong, L	en_US
dc.contributor.author	Marian, R	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	World Academy of Science, Engineering and Technology, 2008, 21 pp. 1007 - 1012	en_US
dc.identifier.issn	2010-3778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29306
dc.description.abstract	The Aggregate Production Plan (APP) is a schedule of the organizations overall operations over a planning horizon to satisfy demand while minimizing costs. It is the baseline for any further planning and formulating the master production scheduling, resources, capacity and raw material planning. This paper presents a methodology to model the Aggregate Production Planning problem, which is combinatorial in nature, when optimized with Genetic Algorithms. This is done considering a multitude of constraints of contradictory nature and the optimization criterion overall cost, made up of costs with production, work force, inventory, and subcontracting. A case study of substantial size, used to develop the model, is presented, along with the genetic operators.	en_US
dc.publisher	World Academy of Science, Engineering and Technology - WASET	en_US
dc.relation.ispartof	World Academy of Science, Engineering and Technology	en_US
dc.title	Modeling and Optimization of Aggregate Production Planning- A Genetic Algorithm Approach	en_US
dc.type	Journal Article
utslib.citation.volume	21	en_US
utslib.for	091005 Manufacturing Management	en_US
utslib.for	010206 Operations Research	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.volume	21	en_US

Abstract:

The Aggregate Production Plan (APP) is a schedule of the organizations overall operations over a planning horizon to satisfy demand while minimizing costs. It is the baseline for any further planning and formulating the master production scheduling, resources, capacity and raw material planning. This paper presents a methodology to model the Aggregate Production Planning problem, which is combinatorial in nature, when optimized with Genetic Algorithms. This is done considering a multitude of constraints of contradictory nature and the optimization criterion overall cost, made up of costs with production, work force, inventory, and subcontracting. A case study of substantial size, used to develop the model, is presented, along with the genetic operators.

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http://hdl.handle.net/10453/29306