TY - CONF KW - Food processing; Linear programming KW - Degree of satisfaction; Food processing industry; Multi-objects; Multiple objective functions; Product mix; Product mix decisions; Real-world problem; Total profits KW - Decision making PB - Institute of Electrical and Electronics Engineers Inc. SP - 552 A1 - Susanto, S. A1 - Rosmiyanti, N.T. A1 - Vasant, P. A1 - Bhattacharya, A. SN - 0769528457; 9780769528458 N1 - 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 AV - none Y1 - 2007/// TI - Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making N2 - 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. ID - scholars270 UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-58049195053&doi=10.1109%2fAMS.2007.48&partnerID=40&md5=472195f23b07b448ee5efddcec4b63c3 EP - 555 ER -