A method for planning analysis and design simulation of CIM systems

  • Authors:
  • Kenneth R. Anderson

  • Affiliations:
  • Siemens Research and Technology Laboratories, 105 College Rd., East Princeton, NJ

  • Venue:
  • WSC '87 Proceedings of the 19th conference on Winter simulation
  • Year:
  • 1987

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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.