Decision making in industrial production planning using fuzzy linear programming

Vasant, Pandian M. and Nagarajan, Ramachandran and Sazali Yaacob (2004) Decision making in industrial production planning using fuzzy linear programming. IMA Journal Management Mathematics, Volume (1). pp. 53-65. ISSN 1471-678X


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Any modern industrial manufacturing unit inevitably faces problems of vagueness in various aspects such as raw material availability, human resource availability, processing capability and constraints and limitations imposed by the marketing department. Such a complex problem of vagueness and uncertainty can be handled by the theory of fuzzy logic. In this paper, a new fuzzy logic based methodology using a S-curve membership function is used to solve a fuzzy mix product selection problem in industrial engineering. Profits and satisfaction levels have been computed using a fuzzy linear programming approach. Since there are several decisions to be taken, a performance measure has been defined to identify the decision that achieves a high level of profit with a high degree of satisfaction.

Item Type: Article
Keyword: Decision making, Fuzzy linear programming, Performance measure, S-curve membership function
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
T Technology > TS Manufactures > TS1-2301 Manufactures > TS155-194 Production management. Operations management
Department: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 27 Feb 2012 17:12
Last Modified: 16 Oct 2017 15:30

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