Simulation-based planning and control: From shop floor to top floor

Abstract This paper illustrates how simulation-based shop-floor planning and control can be extended to enterprise-level activities (top floor). First, the general planning and control concept are discussed, followed by an overview of simulation-based shop-floor planning and control. Analogies between the shop floor and top floor are discussed in terms of the components required to construct simulation-based planning and control systems. Analogies are developed for resource models, coordination models, physical entities, and simulation models. Differences between the shop floor and top floor are also discussed in order to identify new challenges faced for top-floor planning and control. A major difference between the top floor and the shop floor is the way a simulation model is constructed for use in planning, depending on whether time synchronization among member simulations becomes an issue or not. Another difference is in the distributed communication/computing platform. This work uses a distributed computing platform using Web services technology to integrate heterogeneous simulations and systems in a distributed top-floor control environment. The research results reveal that simulation-based planning and control is extensible to the top-floor environment’s evolving new research challenges.

[1]  R.M. Fujimoto,et al.  Parallel and distributed simulation systems , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[2]  Richard A. Wysk,et al.  A multi-pass simulation-based, real-time scheduling and shop floor control system , 1999 .

[3]  Albert Jones,et al.  A real-time production scheduler for a stochastic manufacturing environment , 1988 .

[4]  Bernd Tibken,et al.  A methodology for modeling inter-company supply chains and for evaluating a method of integrated product and process documentation , 2006, Eur. J. Oper. Res..

[5]  Paolo Brandimarte,et al.  Conceptual modeling of an object-oriented scheduling architecture based on the shifting bottleneck procedure , 2000 .

[6]  Albert Jones,et al.  A hybrid approach for real-time sequencing and scheduling , 1995 .

[7]  Seungho Lee,et al.  Fully dynamic epoch time synchronisation method for distributed supply chain simulation , 2008, Int. J. Comput. Appl. Technol..

[8]  Kitae Shin,et al.  A reference system for internet based inter-enterprise electronic commerce , 2002, J. Syst. Softw..

[9]  Hyunbo Cho,et al.  Design and conceptual development of shop-floor controllers through the manipulation of process plans , 2006, Int. J. Comput. Integr. Manuf..

[10]  Jeffrey S. Smith,et al.  Simulation-based shop floor control , 2002 .

[11]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[12]  Richard A. Wysk,et al.  A framework for adaptive synchronization of distributed simulations , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[13]  Richard A. Wysk,et al.  Automatic simulation model generation for simulation-based, real-time shop floor control , 2001, Comput. Ind..

[14]  Jeffrey S. Smith,et al.  Discrete event simulation for shop floor control , 1994, Proceedings of Winter Simulation Conference.

[15]  T. Hodgson,et al.  Satisfying due-dates in large multi-factory supply chains , 2002 .

[16]  Yeong-Dae Kim,et al.  Simulation-based real-time scheduling in a flexible manufacturing system , 1993 .

[17]  Jeffrey S. Smith,et al.  Simulation system for real-time planning, scheduling, and control , 1996, Winter Simulation Conference.

[18]  Hyunbo Cho,et al.  Intelligent workstation controller for computer-integrated manufacturing: Problems and models , 1995 .

[19]  Toshiya Kaihara,et al.  A distributed virtual factory in agile manufacturing environment , 2000 .

[20]  Charles R. McLean,et al.  An architecture for a generic data-driven machine shop simulator , 2002, Proceedings of the Winter Simulation Conference.

[21]  Charles J. Miller,et al.  Analysis of the virtual enterprise using distributed supply chain modeling and simulation: an application of e-SCOR , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[22]  Keely L. Croxton,et al.  AN EVALUATION OF PROCESS‐ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS , 2005 .

[23]  Richard A. Wysk,et al.  Resource modeling for the integration of the manufacturing enterprise , 2001 .

[24]  Robert M. O'Keefe,et al.  Part input into a flexible flow system: An evaluation of look-ahead simulation and a fuzzy rule base , 1992 .

[25]  Hyunbo Cho,et al.  A robust adaptive scheduler for an intelligent workstation controller , 1993 .

[26]  YOUNG JUN SON,et al.  Simulation-based shop floor control: formal model, model generation and control interface , 2003 .

[27]  Richard A. Wysk,et al.  Development and benchmarking of an epoch time synchronization method for distributed simulation , 2005 .

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

[29]  Shimon Y. Nof,et al.  Scheduling/rescheduling in the manufacturing operating system environment† , 1985 .

[30]  Young-Jun Son,et al.  Design and development of a prototype distributed simulation for evaluation of supply chains , 2004 .

[31]  Richard A. Wysk,et al.  Multi-pass expert control system - a control/scheduling structure for flexible manufacturing cells , 1988 .

[32]  John Edwards,et al.  Object-oriented resource models: their role in specifying components of integrated manufacturing systems , 1996 .

[33]  Judith S. Dahmann,et al.  Creating Computer Simulation Systems: An Introduction to the High Level Architecture , 1999 .

[34]  J. Miltenburg Comparing JIT, MRP and TOC, and embedding TOC into MRP , 1997 .