scispace - formally typeset
Journal ArticleDOI

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

Reads0
Chats0
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.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Performance improvement of a multi product assembly shop by integrated fuzzy simulation approach

TL;DR: This paper applies t test for evaluating the fuzzy simulation results versus true production rate of the assembly shop and results show that production rates calculated by fuzzy simulation are closer to true production rates than that of conventional simulation.
Journal ArticleDOI

Comparing Fuzzy Charts with Probability Charts and Using Them in a Textile Company

TL;DR: In this paper, it has been tried to show that fuzzy theory performs better than probability theory in monitoring the product quality in textile manufacturing process, where fuzzy sets and fuzzy logic are powerful mathematical tools for modeling uncertain systems in industry, nature and humanity; facilitators for common-sense reasoning in decision making in the absence of complete and precise information.
Journal ArticleDOI

EOQ model of deteriorating items for fuzzy demand and learning in fuzziness with finite horizon

TL;DR: In this article, the effect of learning in fuzziness by considering fuzzy demand in the EOQ model for deteriorating items under a finite time horizon was investigated, where the crisp equivalent form of the fuzzy demand was considered.
Dissertation

Planification et ordonnancement de projet sous incertitudes : application à la maintenance d'hélicoptères

TL;DR: Notre travail consiste a prendre en consideration les incertitudes dans la planification and l'ordonnancement de projets et resoudre les problemes Rough Cut Capacity Planning, Resource Leveling Problem and Resource Constraint Project Scheduling Problem sous incertitude.
Book ChapterDOI

Interval PERT and Its Fuzzy Extension

TL;DR: The usual assumption in scheduling is that the duration of each task is precisely known, so that solving the PERT problem is rather simple, but in project management, the durations of tasks are seldom precisely known in advance, at the time when the plan of the project is designed.
References
More filters
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.