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.
