Development of a Simulation-Based Intelligent Decision Support System for the Adaptive Real-Time Control of Flexible Manufacturing Systems

This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved in FMS are complicated since each operation may be done by several machining centers. The system design approach is built around the theory of dynamic supervisory control based on a rule-based expert system. The paper considers flexibility in operation assignment and scheduling of multi-purpose machining centers which have different tools with their own efficiency. The architecture of the proposed controller consists of a simulator module coordinated with an IDSS via a real time event handler for implementing inter-process synchronization. The controller’s performance is validated by benchmark test problem.

[1]  Kathryn E. Stecke,et al.  Classification of flexible manufacturing systems , 2011 .

[2]  Appa Iyer Sivakumar,et al.  Simulation-based scheduling for dynamic discrete manufacturing , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[3]  X T S C H A N,et al.  A Comprehensive Survey and Future Trend of Simulation Study on Fms Scheduling , 2022 .

[4]  Ian Postlethwaite,et al.  An Architecture for Intelligent Knowledge-Based Supervisory Control of Rolling Mills , 2003 .

[5]  Joe H. Mize,et al.  Scheduling and control of flexible manufacturing systems: a critical review , 1994 .

[6]  Hannes Werthner,et al.  An integrated simulation and optimization modelling environment for decision support , 1996, Decis. Support Syst..

[7]  Kathryn E. Stecke,et al.  A synthesis of decision models for tool management in automated manufacturing , 1993 .

[8]  Graham Pervan,et al.  A critical analysis of decision support systems research , 2005, J. Inf. Technol..

[9]  Subhash C. Sarin,et al.  The machine loading and tool allocation problem in a flexible manufacturing system , 1987 .

[10]  Panagiotis Kouvelis,et al.  An optimal tool selection procedure for the initial design phase of a flexible manufacturing system , 1991 .

[11]  László Monostori,et al.  Reactive Scheduling in Real Time Production Control , 1999 .

[12]  Bruce Powell Douglass,et al.  Real-Time Design Patterns: Robust Scalable Architecture for Real-Time Systems , 2002 .

[13]  Georges Habchi,et al.  A model for manufacturing systems simulation with a control dimension , 2003, Simul. Model. Pract. Theory.

[14]  Hing Kai Chan,et al.  The State of the Art in Simulation Study on FMS Scheduling: A Comprehensive Survey , 2002 .

[15]  Y. M. Moon,et al.  Reconfigurable Machine Tool Design , 2006 .

[16]  John W. Fowler,et al.  Grand Challenges in Modeling and Simulation of Complex Manufacturing Systems , 2004, Simul..

[17]  Kathryn E. Stecke,et al.  A flexible approach to part type selection in flexible flow systems using part mix ratios , 1991 .

[18]  Felix T.S. Chan,et al.  Comparative performance analysis of a flexible manufacturing system (FMS): a review-period-based control , 2008 .

[19]  Robert W. Brennan,et al.  Toward Real-Time Distributed Intelligent Control: A Survey of Research Themes and Applications , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[20]  John A. Sharp,et al.  A review of manufacturing flexibility , 2000, Eur. J. Oper. Res..

[21]  J. Robb Dixon,et al.  Measuring manufacturing flexibility: An empirical investigation , 1992 .

[22]  Jeffrey S. Smith,et al.  Simulation as a planning and scheduling tool for flexible manufacturing systems , 1995, WSC '95.

[23]  Hamid Seifoddini,et al.  Application of simulation and Petri net modelling in manufacturing control systems , 1996 .

[24]  Nebil Buyurgan,et al.  Tool allocation in flexible manufacturing systems with tool alternatives , 2004 .

[25]  Sanchoy K. Das,et al.  Investigations into the impact of flexibility on manufacturing performance , 1993 .

[26]  Jeffrey W. Herrmann,et al.  Rescheduling Manufacturing Systems: A Framework of Strategies, Policies, and Methods , 2003, J. Sched..

[27]  M. I. M. Wahab Measuring machine and product mix flexibilities of a manufacturing system , 2005 .

[28]  Jacqueline Ayel Supervising conflicts in production management , 1995 .

[29]  A. Davies,et al.  Flexible manufacturing systems—The myth and reality , 1985 .

[30]  J. A. Buzacott,et al.  Flexible manufacturing systems: a review of analytical models , 1986 .

[31]  Massimo Pacella,et al.  Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure , 2002, Simul. Model. Pract. Theory.

[32]  C Gertosio,et al.  Modeling and simulation of the control framework on a flexible manufacturing system , 2000 .

[33]  Moshe M. Barash,et al.  Cutting-tool management in computer-integrated manufacturing , 1992 .

[34]  Wing-Keung Wong,et al.  A genetic-algorithm-based optimization model for scheduling flexible assembly lines , 2008 .

[35]  D. J. van der Zee,et al.  Modeling decision making and control in manufacturing simulation , 2006 .

[36]  M. D. Byrne,et al.  Real-time operational control of an FMS with full routing flexibility , 1997 .

[37]  J. C. Gentina,et al.  Real-time piloting of flexible manufacturing systems , 1994 .