A decision support system for stabilizing flow of fixtures using fuzzy case-based reasoning and discrete-event simulation

2017 ◽  
Author(s):  
Fentahun Moges Kasie ◽  
Glen Bright ◽  
Anthony Walker
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Discrete Event Simulation ◽  
Support System ◽  
Discrete Event ◽  
Case Based Reasoning ◽  
Event Simulation ◽  
Case Based

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

2019 ◽  
Vol 14 (2) ◽  
pp. 312-338 ◽  
Author(s):  
Fentahun Moges Kasie ◽  
Glen Bright
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Flow Control ◽  
Discrete Event Simulation ◽  
Support System ◽  
Discrete Event ◽  
Case Based Reasoning ◽  
Content Type ◽  
Event Simulation ◽  
Case Based

Purpose 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/approach The 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. Findings It 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/implications The DSS was tested in laboratory environments using a numerical analysis; however, it was not validated in industrial situations. Originality/value The synergy of integrating FCBR and DES systems was not exploited in the past in part-fixture assignment and fixture flow control problems.

Success Surrogates in Representational Decision Support Systems

2005 ◽  
pp. 2672-2677
Author(s):  
Roger McHaney
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Software Development ◽  
Discrete Event Simulation ◽  
Support System ◽  
Support Systems ◽  
Discrete Event ◽  
Event Simulation ◽  
Business Environments ◽  
New Software Development

Rapid and frequent organizational change has been a hallmark of business environments in the past two decades. Frequently, technology and new software development are embraced as aspects of complex strategies and tactical plans. Without sufficient analysis, the unforeseen consequences of change can result in unexpected disruptions and the loss of productivity. In order to better control these contingencies, modern managers often employ a variety of decision support aids. One such aid, classified as a representational decision support system, is discrete event simulation (DES).

Representational Decision Support Systems Success Surrogates

2011 ◽  
pp. 3268-3272
Author(s):  
Roger McHaney
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Software Development ◽  
Discrete Event Simulation ◽  
Support System ◽  
Support Systems ◽  
Discrete Event ◽  
Event Simulation ◽  
Business Environments ◽  
New Software Development

Rapid and frequent organizational change has been a hallmark of business environments in the past two decades. Frequently, technology and new software development are embraced as aspects of complex strategies and tactical plans. Without sufficient analysis, the unforeseen consequences of change can result in unexpected disruptions and the loss of productivity. In order to better control these contingencies, modern managers often employ a variety of decision support aids. One such aid, classified as a representational decision support system, is discrete event simulation (DES).

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