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Journal ArticleDOI

Fuzzy set theory applications in production management research: a literature survey

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TLDR
This paper provides a survey of the application of fuzzy set theory in production management research, and identifies selected bibliographies on fuzzy sets and applications.
Abstract
Fuzzy set theory has been used to model systems that are hard to define precisely. 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 provides a survey of the application of fuzzy set theory in production management research. The literature review that we compiled consists of 73 journal articles and nine books. A classification scheme for fuzzy applications in production management research is defined. We also identify selected bibliographies on fuzzy sets and applications.

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Citations
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Journal ArticleDOI

Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge

TL;DR: An overview of some fuzzy set-based approaches to scheduling is proposed,phasizing two distinct uses of fuzzy sets: representing preference profiles and modelling uncertainty distributions, and a possibility-theoretic counterpart of PERT.
Journal ArticleDOI

Facility location selection using fuzzy topsis under group decisions

TL;DR: This work presents a fuzzy TOPSIS model under group decisions for solving the facility location selection problem, where the ratings of various alternative locations under different subjective attributes and the importance weights of all attributes are assessed in linguistic values represented by fuzzy numbers.
Journal ArticleDOI

A review of the extensions of a modified EOQ model for imperfect quality items

TL;DR: The current body of research that has extended the Salameh and Jaber (2000) EOQ model for imperfect items, and the impact of human error on production and inventory systems is summarized.
Journal ArticleDOI

Material Requirement Planning with fuzzy constraints and fuzzy coefficients

TL;DR: A new fuzzy mathematical programming model for production planning under uncertainty in an industrial environment that considers fuzzy constraints related to the total costs, the market demand and the available capacity and fuzzy coefficients for the costs due to the backlog of demand and for the required capacity.
Journal ArticleDOI

A comprehensive survey and future trend of simulation study on FMS scheduling

TL;DR: The objective of this paper is to review scheduling study on FMSs and analyse future trend that employed simulation techniques as the analyzing tool and conclude that AI approaches will be dominating in future study.
References
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Journal ArticleDOI

Part-period balancing with uncertainty: a fuzzy sets theory approach

TL;DR: In this paper, the part-period balancing lot-sizing algorithm is modified to use fuzzy data for the single-stage lot sizing problem and triangular fuzzy numbers are used to represent uncertainty in the master production schedule.
Journal ArticleDOI

On the relevance of fuzzy sets for operations research

TL;DR: Fuzzy sets—and specially, fuzzy numbers—is a good tool for the OR analyst facing partial uncertainty and subjectivity and is able to associate with several hybrid operators, probabilistic and uncertain data.
Journal ArticleDOI

A class of single sampling inspection plans based on possibilistic programming problem

TL;DR: In this paper, the problem of designing the lot tolerance percent defective single sampling inspection plans is considered when the parameters are assumed fuzzy variables so that the problem becomes a possibilistic programming problem.
Journal ArticleDOI

The use of fuzzy set theory for forecasting corporate tax revenues

TL;DR: In this article, a system based on the fuzzy set theory for forecasting the Florida corporate income tax revenue was developed in response to several years of unsuccessful forecasts generated by the conventional econometric methods.
Book ChapterDOI

An Approximate Reasoning Framework for Aggregate Production Planning

TL;DR: A detailed study of the aggregate production planning problem and its comparison with a classical operations management model known as HMMS model show that the approximate reasoning framework produces a favourably robust result.