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A fuzzy cost function optimization in product mix selection problem

The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper the usefulness of the proposed S-curve membership function is established using a real life industrial production planning of a ch...

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Main Authors: P.M., Vasant, C.J., Andeeski, N.N., Barsoum, T.D., Kolemisevska, G.M., Dimirovski
Format: Conference or Workshop Item
Published: 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/392/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-36849024312&partnerID=40&md5=0a2b6db377f552ef492fdf87e2ca378e
http://eprints.utp.edu.my/392/
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spelling my.utp.eprints.3922017-01-19T08:27:12Z A fuzzy cost function optimization in product mix selection problem P.M., Vasant C.J., Andeeski N.N., Barsoum T.D., Kolemisevska G.M., Dimirovski TK Electrical engineering. Electronics Nuclear engineering The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper the usefulness of the proposed S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mixed in various proportions by 9 different processes under 29 constraints. A solution to this problem establishes the usefulness of the suggested membership function for decision making in industrial production planning. The objective of this paper is to find the optimal cost to produce 8 products using modified S-curve membership function as a methodology. The fuzzy linear programming approach is used to solve this problem. The optimal cost function is obtained respect to two major factors of degree of satisfaction and vagueness. Copyright - World Automation Congress (WAC) 2006. 2007 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/392/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-36849024312&partnerID=40&md5=0a2b6db377f552ef492fdf87e2ca378e P.M., Vasant and C.J., Andeeski and N.N., Barsoum and T.D., Kolemisevska and G.M., Dimirovski (2007) A fuzzy cost function optimization in product mix selection problem. In: 2006 World Automation Congress, WAC'06, 24 June 2006 through 26 June 2006, Budapest. http://eprints.utp.edu.my/392/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
P.M., Vasant
C.J., Andeeski
N.N., Barsoum
T.D., Kolemisevska
G.M., Dimirovski
A fuzzy cost function optimization in product mix selection problem
description The modern trend in industrial application problem deserves modeling of all relevant vague or fuzzy information involved in a real decision making problem. In this paper the usefulness of the proposed S-curve membership function is established using a real life industrial production planning of a chocolate manufacturing unit. The unit produces 8 products using 8 raw materials, mixed in various proportions by 9 different processes under 29 constraints. A solution to this problem establishes the usefulness of the suggested membership function for decision making in industrial production planning. The objective of this paper is to find the optimal cost to produce 8 products using modified S-curve membership function as a methodology. The fuzzy linear programming approach is used to solve this problem. The optimal cost function is obtained respect to two major factors of degree of satisfaction and vagueness. Copyright - World Automation Congress (WAC) 2006.
format Conference or Workshop Item
author P.M., Vasant
C.J., Andeeski
N.N., Barsoum
T.D., Kolemisevska
G.M., Dimirovski
author_facet P.M., Vasant
C.J., Andeeski
N.N., Barsoum
T.D., Kolemisevska
G.M., Dimirovski
author_sort P.M., Vasant
title A fuzzy cost function optimization in product mix selection problem
title_short A fuzzy cost function optimization in product mix selection problem
title_full A fuzzy cost function optimization in product mix selection problem
title_fullStr A fuzzy cost function optimization in product mix selection problem
title_full_unstemmed A fuzzy cost function optimization in product mix selection problem
title_sort fuzzy cost function optimization in product mix selection problem
publishDate 2007
url http://eprints.utp.edu.my/392/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-36849024312&partnerID=40&md5=0a2b6db377f552ef492fdf87e2ca378e
http://eprints.utp.edu.my/392/
_version_ 1738655060495171584
score 13.211869

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