DocumentCode
2297835
Title
Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making
Author
Susanto, Sani ; Rosmiyanti, Neneng Tintin ; Vasant, Pandian ; Bhattacharya, Arijit
Author_Institution
Dept. of Ind. Eng., Parahyangan Catholic Univ., Bandung
fYear
2007
fDate
27-30 March 2007
Firstpage
552
Lastpage
555
Abstract
This paper focuses on optimizing product-mix problem using real-world data of a food processing industry. The extensively used LP model has been remodeled using fuzzy sets and applied to the real-world problem. The developed LP model is able to consider the fuzziness in the parameters and to tackle the presence of multiple objective functions. The degree of satisfaction of the product-mix decision-maker in terms of (i) the total profit obtained and (ii) the waste resulted, is at least 70%, which is encouraging
Keywords
decision making; food processing industry; fuzzy set theory; linear programming; decision making; food processing industry; fuzzy multiobjective linear programming; fuzzy sets; multiple objective functions; product-mix problem optimization; Dairy products; Decision making; Engineering management; Food industry; Ice; Linear programming; Packaging; Powders; Production management; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling & Simulation, 2007. AMS '07. First Asia International Conference on
Conference_Location
Phuket
Print_ISBN
0-7695-2845-7
Type
conf
DOI
10.1109/AMS.2007.48
Filename
4148719
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