TRANS Asian Journal of Marketing & Management Research (TAJMMR)
  • Year: 2013
  • Volume: 2
  • Issue: 2

Scope of fuzzy logic in production and operations management: A recent review

  • Author:
  • Tuhin Mukherjee, Biswajit Chakraborty
  • Total Page Count: 6
  • Page Number: 48 to 53

*Department of Business Administration, University of Kalyani, India

**Department of Computer Applications, TICT, Kolkata, India

Online published on 11 July, 2017.

Abstract

Crisp set always defines the membership function as unity, so it is deterministic in nature. But in most of the cases, real life systems are non-deterministic in nature, so crisp set is not suitable to model them. Fuzzy set theory has been used to model systems that are hard to define precisely. Membership function lies in between zero and one in fuzzy logic. As a methodology, fuzzy set theory incorporates imprecision and subjectivity into the model formulation and solution process. Fuzzy set theory represents an attractive tool to aid research in production management, when the dynamics of the production environment limit the specification of model objectives, constraints and the precise measurement of model parameters. This paper attempts to review the applications of fuzzy set theory in production and operations management.

Keywords

Production Management, Operations Management, Fuzzy Logic, Membership Function