Compromise Fuzzy Multi-Objective Linear Programming (CFMOLP) heuristic for product-mix determination

Susanto, Sani and Bhattacharya, Arijit ORCID: https://orcid.org/0000-0001-5698-297X (2011) Compromise Fuzzy Multi-Objective Linear Programming (CFMOLP) heuristic for product-mix determination. Computers & Industrial Engineering, 61 (3). pp. 582-590. ISSN 0360-8352

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Abstract

This paper models a crisp Linear Programming (LP) as a Compromise Fuzzy Multi-Objective LP (CFMOLP). The application of CFMOLP has been focused on an industrial engineering problem that seeks profit maximisation by optimising product-mix. Imprecision of the large volume of industrial data and the conglomerated decision from all levels of management lead fuzzication of the identified constraints and the objective functions as well. The crisp model described is in the form of crisp-Multi-Objective Linear Programming (MOLP) with objective functions, functional constraints and non-negativity constraints. This model is formulated as a fuzzy-MOLP and subsequently converted into an equivalent compromise-MOLP model. The paper describes the development process for the CFMOLP model and its application along with appropriate interpretation.

Item Type:	Article
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Depositing User:	LivePure Connector
Date Deposited:	14 Oct 2019 12:30
Last Modified:	22 Oct 2022 05:21
URI:	https://ueaeprints.uea.ac.uk/id/eprint/72568
DOI:	10.1016/j.cie.2011.04.013

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