Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making

Sani Susanto, Neneng Tintin Rosmiyanti, Pandian Vasant, Arijit Bhattacharya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 1st Asia International Conference on Modelling and Simulation
Subtitle of host publicationAsia Modelling Symposium 2007, AMS 2007
EditorsDavid Al-Dabass, Richard Zobel, Ajith Abraham, Steve Turner
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages552-555
Number of pages4
ISBN (Electronic)0769528457, 9780769528458
DOIs
Publication statusPublished - 1 Jan 2007
Externally publishedYes
Event1st Asia International Conference on Modelling and Simulation - Asia Modelling Symposium 2007, AMS 2007 - Phuket, Thailand
Duration: 27 Mar 200730 Mar 2007

Publication series

NameProceedings - 1st Asia International Conference on Modelling and Simulation: Asia Modelling Symposium 2007, AMS 2007

Conference

Conference1st Asia International Conference on Modelling and Simulation - Asia Modelling Symposium 2007, AMS 2007
CountryThailand
CityPhuket
Period27/03/0730/03/07

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