Paper Info
Title
Development of a simulation-based decision support system for controlling stochastic flexible job shop manufacturing systems
Abstract
This paper describes a simulation-based decision support system (DSS) to production control of a stochastic flexible job shop (SFJS) manufacturing system. The controller design approach is built around the theory of supervisory control based on discrete-event simulation with an event–condition–action (ECA) real-time rule-based system. The proposed controller constitutes the framework of an adaptive controller supporting the co-ordination and co-operation relations by integrating a real-time simulator and a rule-based DSS. For implementing SFJS controller, the proposed DSS receives online results from simulator and identifies opportunities for incremental improvement of performance criteria within real-time simulation data exchange (SDX). A bilateral method for multi-performance criteria optimization combines a gradient based method and the DSS to control dynamic state variables of SFJS concurrently. The model is validated by some benchmark test problems.
Year
DOI
Venue
2010
10.1016/j.simpat.2010.01.015
Simulation Modelling Practice and Theory
Keywords
DocType
Volume
Simulation-based control,Stochastic flexible job shop,Event–condition–action,Simulation data exchange,Decision support systems
Journal
18
Issue
ISSN
Citations 
6
1569-190X
16
PageRank 
References 
Authors
0.95
37
3
Name
Order
Citations
PageRank
Iraj Mahdavi138832.30
Babak Shirazi2568.54
maghsud solimanpur328617.53