eprintid: 270
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/02/70
datestamp: 2023-11-09 15:15:54
lastmod: 2023-11-09 15:15:54
status_changed: 2023-11-09 15:13:41
type: conference_item
metadata_visibility: show
creators_name: Susanto, S.
creators_name: Rosmiyanti, N.T.
creators_name: Vasant, P.
creators_name: Bhattacharya, A.
title: Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making
ispublished: pub
keywords: Food processing; Linear programming, Degree of satisfaction; Food processing industry; Multi-objects; Multiple objective functions; Product mix; Product mix decisions; Real-world problem; Total profits, Decision making
note: cited By 3; Conference of 1st Asia International Conference on Modelling and Simulation - Asia Modelling Symposium 2007, AMS 2007 ; Conference Date: 27 March 2007 Through 30 March 2007; Conference Code:119135
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. © 2007 IEEE.
date: 2007
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-58049195053&doi=10.1109%2fAMS.2007.48&partnerID=40&md5=472195f23b07b448ee5efddcec4b63c3
id_number: 10.1109/AMS.2007.48
full_text_status: none
publication: Proceedings - 1st Asia International Conference on Modelling and Simulation: Asia Modelling Symposium 2007, AMS 2007
pagerange: 552-555
refereed: TRUE
isbn: 0769528457; 9780769528458
citation:   Susanto, S. and Rosmiyanti, N.T. and Vasant, P. and Bhattacharya, A.  (2007) Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making.  In: UNSPECIFIED.