A method for planning analysis and design simulation of CIM systems

ABSTRACT

Analytic models (AM) that combine a network of queues with resource reliability parameters are currently being applied to strategic planning analysis and design simulation of manufacturing systems. These models estimate the dynamic interaction between resources and production inventory in a manufacturing system computing the time each item being produced spends at each resource. These models predict the production rates and equipment utilization. Recent advances in modeling have resulted in models of factories that require a minimum amount of data input, give results quickly, and approximate real conditions. Often, such models are used to study a factory before its construction in order to select the most efficient alternative configurations for further consideration. In the application described here, an analytic model has been applied to a proposed printed circuit board (PCB) manufacturing test cell to assist in making the strategic decisions required to design a manufacturing line for a new product. Lot size and process quality were studied and optimum conditions determined for each. The use of the model can help reduce the investment cost in expensive test equipment required to test products containing Very Large Scale Integrated (VLSI) circuits.

REFERENCES

• 1: Osman Balci, Credibility assessment of simulation results, Proceedings of the 18th conference on Winter simulation, p.38-44, December 08-10, 1986, Washington, D.C., United States [doi>10.1145/318242.318258]
• 2: Banks, Jerry anal Carson, John S, II. Discrete-Event Simulation. Prentice HalL, Ine, Englewood Cliffs, New Jersey, 1984.
• 3: Bear, Tony. "Simulating The Factory". Mechanical Engineering unk ( December 1986), 38-41.
• 4: Brooksby, Merrill W., Castro, Patricia L., Hanson, Fred L. "Benefits of Quick-Turnaround Integ;rated Circuit Processing". Hewlett-Packard Journal ( June 1981), 33-35.
• 5: Peter J. Denning , Jeffrey P. Buzen, The Operational Analysis of Queueing Network Models, ACM Computing Surveys (CSUR), v.10 n.3, p.225-261, Sept. 1978 [doi>10.1145/356733.356735]
• 6: S. Wali Haider , David G. Noller , Thomas B. Robey, Experiences with analytic and simulation modeling for a factory of the future project at IBM, Proceedings of the 18th conference on Winter simulation, p.641-648, December 08-10, 1986, Washington, D.C., United States [doi>10.1145/318242.318503]
• 7: Keys, L.. Computerized Electronic Manufacturing Process Operations Analysis Modeling and Simulation. Proceedings of the 1986 International Test Conference, 1986, pp. 67-77.
• 8: Lardner, James. "Computer Integrated Manufacturing and the Complexity Index". The Bridge 16, 1 (Spring 1986), 10-16.
• 9: Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
• 10: Little, J. "A Proof of the Queuing Formula". Operations Research (1961), 383-387.
• 11: Edward A. MacNair , Charles H. Sauer, Elements of practical performance modeling, Prentice-Hall, Inc., Upper Saddle River, NJ, 1985
• 12: Nagler, Ben. "Making Decisions Through Art of Simulation". Managing Automation unk ( May 1987), 66-70.
• 13: Pegden, C. Dennis. Introduction to SIMAN with Version 3.0 Enhancements. Systems Modeling Corporation, 1985.
• 14: Suri, Rajan and Hildebrant, Richard R. "Modeling FLexible Manufacturing Systems Using Mean-Value Analysis". SME Journal of Manufacturing System8 3, 1 (19s4).
• 15: Suri, Rajah. Quantitative Techniques for Robotic System Analysis. In Handbook Of Industrial Robotics, John Wiley & Sons, 1984, ch. 31, pp. 605-637.
• 16: Rajan Suri , Gregory W. Diehl, MANUPLAN: a precursor to simulation for complex manufacturing systems, Proceedings of the 17th conference on Winter simulation, p.411-420, December 11-13, 1985, San Francisco, California, United States [doi>10.1145/21850.253420]
• 17: Bernard P. Zeigler, Theory of Modelling and Simulation, Krieger Publishing Co., Inc., Melbourne, FL, 1984

INDEX TERMS

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

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.8 Problem Solving, Control Methods, and Search
          Subjects: Plan execution, formation, and generation
  I.6 SIMULATION AND MODELING
      I.6.1 Simulation Theory
          Subjects: Types of simulation (continuous and discrete)*

  J. Computer Applications

General Terms:
Design, Management, Measurement, Performance, Reliability, Theory