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A deterministic aggregate production planning model considering quality of products

Aggregate Production Planning (APP) is a medium-term planning which is concerned with the lowest-cost method of production planning to meet customers' requirements and to satisfy fluctuating demand over a planning time horizon. APP problem has been studied widely since it was introduced and for...

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Main Authors: Kuan, Yew Wong, Madadi, Najmeh
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/50851/1/NajmehMadadi2013_ADeterministicAggregateProductionPlanningModel.pdf
http://eprints.utm.my/id/eprint/50851/
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spelling my.utm.508512017-07-03T01:30:53Z http://eprints.utm.my/id/eprint/50851/ A deterministic aggregate production planning model considering quality of products Kuan, Yew Wong Madadi, Najmeh TJ Mechanical engineering and machinery Aggregate Production Planning (APP) is a medium-term planning which is concerned with the lowest-cost method of production planning to meet customers' requirements and to satisfy fluctuating demand over a planning time horizon. APP problem has been studied widely since it was introduced and formulated in 1950s. However, in several conducted studies in the APP area, most of the researchers have concentrated on some common objectives such as minimization of cost, fluctuation in the number of workers, and inventory level. Specifically, maintaining quality at the desirable level as an objective while minimizing cost has not been considered in previous studies. In this study, an attempt has been made to develop a multi-objective mixed integer linear programming model that serves those companies aiming to incur the minimum level of operational cost while maintaining quality at an acceptable level. In order to obtain the solution to the multi-objective model, the Fuzzy Goal Programming approach and max-min operator of Bellman-Zadeh were applied to the model. At the final step, IBM ILOG CPLEX Optimization Studio software was used to obtain the experimental results based on the data collected from an automotive parts manufacturing company. The results show that incorporating quality in the model imposes some costs, however a trade-off should be done between the cost resulting from producing products with higher quality and the cost that the firm may incur due to customer dissatisfaction and sale losses. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50851/1/NajmehMadadi2013_ADeterministicAggregateProductionPlanningModel.pdf Kuan, Yew Wong and Madadi, Najmeh (2013) A deterministic aggregate production planning model considering quality of products. In: 2013 International Conference On Manufacturing, Optimization, Industrial And Material Engineering (MOIME 2013).
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Kuan, Yew Wong
Madadi, Najmeh
A deterministic aggregate production planning model considering quality of products
description Aggregate Production Planning (APP) is a medium-term planning which is concerned with the lowest-cost method of production planning to meet customers' requirements and to satisfy fluctuating demand over a planning time horizon. APP problem has been studied widely since it was introduced and formulated in 1950s. However, in several conducted studies in the APP area, most of the researchers have concentrated on some common objectives such as minimization of cost, fluctuation in the number of workers, and inventory level. Specifically, maintaining quality at the desirable level as an objective while minimizing cost has not been considered in previous studies. In this study, an attempt has been made to develop a multi-objective mixed integer linear programming model that serves those companies aiming to incur the minimum level of operational cost while maintaining quality at an acceptable level. In order to obtain the solution to the multi-objective model, the Fuzzy Goal Programming approach and max-min operator of Bellman-Zadeh were applied to the model. At the final step, IBM ILOG CPLEX Optimization Studio software was used to obtain the experimental results based on the data collected from an automotive parts manufacturing company. The results show that incorporating quality in the model imposes some costs, however a trade-off should be done between the cost resulting from producing products with higher quality and the cost that the firm may incur due to customer dissatisfaction and sale losses.
format Conference or Workshop Item
author Kuan, Yew Wong
Madadi, Najmeh
author_facet Kuan, Yew Wong
Madadi, Najmeh
author_sort Kuan, Yew Wong
title A deterministic aggregate production planning model considering quality of products
title_short A deterministic aggregate production planning model considering quality of products
title_full A deterministic aggregate production planning model considering quality of products
title_fullStr A deterministic aggregate production planning model considering quality of products
title_full_unstemmed A deterministic aggregate production planning model considering quality of products
title_sort deterministic aggregate production planning model considering quality of products
publishDate 2013
url http://eprints.utm.my/id/eprint/50851/1/NajmehMadadi2013_ADeterministicAggregateProductionPlanningModel.pdf
http://eprints.utm.my/id/eprint/50851/
_version_ 1643652864601489408
score 13.211869

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