Journal ArticleDOI
Fuzzy set theory applications in production management research: a literature survey
Alfred L. Guiffrida,Rakesh Nagi +1 more
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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.read more
Citations
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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.
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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.
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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.
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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
Felix T.S. Chan,Hing Kai Chan +1 more
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
Bi-criteria multi facility location problem in fuzzy environment
TL;DR: In this article, a fuzzy goal programming model for locating multiple new facilities on a plane bounded by a convex polygon under the criteria: (1) minimize the sum of all the transportation costs and (2) minimise the maximum distances from the facilities to the demand points.
Journal Article
On one possible fuzzy approach to facilities layout problems
TL;DR: In this article, a concept exemplaire d'algorithme de type construction floue base on l'idee de la methode HC-66 is introduced and illustrated by an exemple numerique.
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An effective method for solving flow shop scheduling problems with fuzzy processing times
TL;DR: In this paper, the authors show that fuzzy set theory can be useful in modelling and solving flow shop scheduling problems with uncertain processing times and illustrate a methodology for solving job sequencing problem which the opinions of experts greatly disagree in each processing time.
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Optimization of project networks with goal programming and fuzzy linear programming
TL;DR: Comparisons of Linear Programming and Goal Programming techniques compared when applied to a project network, and recommendations are given as to their applicability.
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A fuzzy approach to multi-objective routing problem with applications to process planning in manufacturing systems
Navneet Singh,B. K. Mohanty +1 more
TL;DR: In this paper, a method is developed for the selection of an efficient path in a fuzzy multi-objective network and the application of the methodology developed is illustrated by a process plan selection problem in a manufacturing environment.