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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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Journal ArticleDOI

A state of the art review of intelligent scheduling

TL;DR: A survey of intelligent scheduling systems is provided by categorizing them into five major techniques containing fuzzy logic, expert systems, machine learning, stochastic local search optimization algorithms and constraint programming.
Journal ArticleDOI

Integration and economic viability of fueling the future with green hydrogen: An integration of its determinants from renewable economics

TL;DR: In this article, the output of renewable hydrogen from natural sources like wind, solar, biomass, and geothermal power was studied and four main criteria were assessed and they are economic, commercial, environmental, and social adoption.
Journal ArticleDOI

A Hybrid Cooperative Coevolution Algorithm for Fuzzy Flexible Job Shop Scheduling

TL;DR: This paper proposes an effective hybrid cooperative coevolution algorithm (hCEA) for the minimization of fuzzy makespan, which is named fuzzy flexible job shop scheduling because it performs better than the existing methods from the literature.
Journal ArticleDOI

Fuzzy hierarchical production planning (with a case study)

TL;DR: Inspired by a real industrial case, a fuzzy HPP (FHPP) model is proposed which is composed of two decision making levels and it is compared with the previously developed crisp model.
Journal ArticleDOI

Capacity and material requirement planning modelling by comparing deterministic and fuzzy models

TL;DR: In this paper, a model for the capacity and material requirement planning problem with uncertainty in a multi-product, multi-level and multi-period manufacturing environment is proposed, which takes into account the uncertainty that exists in both the market demand and capacity data, and the uncertain costs for backlog.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book

Possibility Theory: An Approach to Computerized Processing of Uncertainty

Didier Dubois, +1 more
TL;DR: This chapter discusses the use of Fuzzy Sets for the Evaluation and Ranking of Objects, a Quantitative Approach to Multiaspect Choice, and some of the techniques used in this approach.
Book

Fuzzy Mathematical Models in Engineering and Management Science

TL;DR: This paper presents a general view about the Fuzzification of Models in Engineering and Management Science, and some examples of Fuzzy Set Theory and System Modelling, as well as some of its applications in Transportation Optimization and Decision Making.
Journal ArticleDOI

Forecasting enrollments with fuzzy time series—part II

TL;DR: The forecast of the enrollments of the University of Alabama is carried out and a fuzzy time series model is developed using historical data, which is tested on the basis of its robustness andvantages and problems.
Book

Fuzzy Multiple Objective Decision Making: Methods And Applications

TL;DR: In this paper, the authors present a survey of Fuzzy multiple objective decision-making techniques and their application in various aspects of the real world, such as: 1.1 Introduction.2 Goal Programming.