Introduction to manufacturing applications

ABSTRACT

This tutorial introduces manufacturing applications of simulation through three illustrative example applications. These examples illustrate the additional understanding of system behavior gained by the use of simulation models. Individuals using simulation should use a structured process in applying simulation. The second example illustrates this structured process. The examples also illustrate the use of both stochastic and deterministic variables in modeling manufacturing systems.

REFERENCES

• 1: Michael C. Cheselka, The Timken company's gambrinus thermal treatment facility scheduling system, Proceedings of the 24th conference on Winter simulation, p.833-841, December 13-16, 1992, Arlington, Virginia, United States [doi>10.1145/167293.167739]
• 2: Clark, Gordon M. and Charles R. Cash. 1993. Reduction of Gear Manufacturing Throughput Time: Rough Steel Cell Operating Policies. Technical Report, Department of Industrial and Systems Engineering, The Ohio State University, Columbus, Ohio.
• 3: Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
• 4: Naylor, T.H., J.L. Balintfy, D.S. Burdick, and K. Chu. 1966. Computer Simulation Techniques. John Wiley & Sons, Inc., New York.
• 5: Pritsker Corporation. 1989. FACTOR Version 4.0 Implementation Guide. Pritsker Corporation, Indianapolis, Indiana.
• 6: Spearman, M. L., D. L. Woodruff, and W. J. Hopp. 1990. CONWIP: A Pull Alternative to Kanbans. International Journal of Production Research 22:879-894.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING

Additional Classification:
  J. Computer Applications
  J.1 ADMINISTRATIVE DATA PROCESSING
      Subjects: Manufacturing

General Terms:
Performance, Theory