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A fuzzy, knowledge‐based decision support tool for production operations management
Author(s) -
Schründer C.P.,
Galletly J.E.,
Bicheno J.R.
Publication year - 1994
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1994.tb00312.x
Subject(s) - computer science , production (economics) , fuzzy logic , decision support system , set (abstract data type) , knowledge management , fuzzy set , management science , artificial intelligence , operations research , mathematics , programming language , economics , macroeconomics
Production operations managers frequently have to make decisions based on vague, imprecise knowledge. Any software tool developed to aid their decision making needs to take into account the approximate nature of the information available to them and the inexact knowledge to which individual facts are applied. Much of this knowledge is expressed as vague, linguistic articulations. A convenient framework for dealing with such approximate knowledge is fuzzy logic and fuzzy set theory. As a specific example, a system was developed for providing decision support in the Just‐in‐Time area of production operations management.