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Integrating fuzzy case-based reasoning and discrete-event simulation to develop a decision support system for part-fixture assignment and fixture flow control

Integrating fuzzy case-based reasoning and discrete-event simulation to develop a decision... This study aims to propose a decision support system (DSS) that performs a decision-based part-fixture assignment and fixture flow control in planned production periods.Design/methodology/approachThe principal approaches were fuzzy case-based reasoning (FCBR) and discrete-event simulation (DES). Besides, the fuzzy analytic hierarchy process (FAHP), an object-oriented (OO) method and a fuzzy weighted Euclidean distance were used to support the decision-making process.FindingsIt shows that integrating FCBR and DES systems is a promising approach to address part-fixture planning problems. The FCBR subsystem proposed various stable numbers of fixtures as scenarios. The DES model analyzed the future performances of these scenarios and identified the best alternative.Research limitations/implicationsThe DSS was tested in laboratory environments using a numerical analysis; however, it was not validated in industrial situations.Originality/valueThe synergy of integrating FCBR and DES systems was not exploited in the past in part-fixture assignment and fixture flow control problems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Modelling in Management Emerald Publishing

Integrating fuzzy case-based reasoning and discrete-event simulation to develop a decision support system for part-fixture assignment and fixture flow control

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References (49)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1746-5664
DOI
10.1108/jm2-07-2018-0096
Publisher site
See Article on Publisher Site

Abstract

This study aims to propose a decision support system (DSS) that performs a decision-based part-fixture assignment and fixture flow control in planned production periods.Design/methodology/approachThe principal approaches were fuzzy case-based reasoning (FCBR) and discrete-event simulation (DES). Besides, the fuzzy analytic hierarchy process (FAHP), an object-oriented (OO) method and a fuzzy weighted Euclidean distance were used to support the decision-making process.FindingsIt shows that integrating FCBR and DES systems is a promising approach to address part-fixture planning problems. The FCBR subsystem proposed various stable numbers of fixtures as scenarios. The DES model analyzed the future performances of these scenarios and identified the best alternative.Research limitations/implicationsThe DSS was tested in laboratory environments using a numerical analysis; however, it was not validated in industrial situations.Originality/valueThe synergy of integrating FCBR and DES systems was not exploited in the past in part-fixture assignment and fixture flow control problems.

Journal

Journal of Modelling in Management – Emerald Publishing

Published: May 2, 2019

Keywords: Decision making; Simulation; Modelling; Decision support systems; Artificial intelligence

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