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
Language:English
Published: 2007
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/392/
http://scholars.utp.edu.my/id/eprint/392/1/paper.pdf
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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
building UTP Institutional Repository
collection Online Access
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.
first_indexed 2025-11-13T07:23:04Z
format Conference or Workshop Item
id oai:scholars.utp.edu.my:392
institution Universiti Teknologi Petronas
institution_category Local University
language English
last_indexed 2025-11-13T07:23:04Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling oai:scholars.utp.edu.my:3922017-01-19T08:27:12Z http://scholars.utp.edu.my/id/eprint/392/ 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 en http://scholars.utp.edu.my/id/eprint/392/1/paper.pdf 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://www.scopus.com/inward/record.url?eid=2-s2.0-36849024312&partnerID=40&md5=0a2b6db377f552ef492fdf87e2ca378e
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
title 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_short A fuzzy cost function optimization in product mix selection problem
title_sort fuzzy cost function optimization in product mix selection problem
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/392/
http://scholars.utp.edu.my/id/eprint/392/
http://scholars.utp.edu.my/id/eprint/392/1/paper.pdf