TY  - CONF
A1  - Susanto, S.
A1  - Rosmiyanti, N.T.
A1  - Vasant, P.
A1  - Bhattacharya, A.
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.
PB  - Institute of Electrical and Electronics Engineers Inc.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-58049195053&doi=10.1109%2fAMS.2007.48&partnerID=40&md5=472195f23b07b448ee5efddcec4b63c3
AV  - none
EP  - 555
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
Y1  - 2007///
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
TI  - Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making
SN  - 0769528457; 9780769528458
SP  - 552
ID  - scholars270
ER  -