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Facility-Wide Planning and Scheduling of Printed Wiring Board Assembly

Author

Listed:
  • Thomas A. Feo

    (University of Texas at Austin, Austin, Texas)

  • Jonathan F. Bard

    (University of Texas at Austin, Austin, Texas)

  • Scott D. Holland

    (Optimization Alternatives, Austin, Texas)

Abstract

In the last decade, the U.S. electronics industry has experienced a 10% annual growth rate in the assembly of printed wiring boards (PWBs). For many companies, this activity represents the most profitable component of their business with revenues in the billions for the industry as a whole. The basic functions associated with PWB assembly include inventory management, materials handling, production scheduling, and quality control, all of which are subject to a host of system-wide constraints. For the Texas Instruments facility in Austin, Texas, planning and scheduling is further complicated by the need to deal with over 10,000 different components and up to 400 different board types, each with their individual routing and bill of materials. This paper describes a decision support system known as I nsites designed to assist Texas Instruments in the day-to-day assembly operations of their PWB facilities. The emphasis is on the heuristic techniques used to solve the underlying multiple machine scheduling problem and the efforts undertaken to validate and deploy the system. The identified benefits, coupled with the acceptance of I nsites by both shop floor personnel and management, led the way to full system integration in early 1992.

Suggested Citation

  • Thomas A. Feo & Jonathan F. Bard & Scott D. Holland, 1995. "Facility-Wide Planning and Scheduling of Printed Wiring Board Assembly," Operations Research, INFORMS, vol. 43(2), pages 219-230, April.
    • Handle: RePEc:inm:oropre:v:43:y:1995:i:2:p:219-230
    DOI: 10.1287/opre.43.2.219
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    Cited by:

    1. Ahmadi, Reza H. & Kouvelis, Panagiotis, 1999. "Design of electronic assembly lines: An analytical framework and its application," European Journal of Operational Research, Elsevier, vol. 115(1), pages 113-137, May.
    2. Kolisch, Rainer & Heß, Karsten, 1998. "Efficient methods for scheduling make-to-order assemblies under resource, assembly area, and part availability constraints," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 474, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    3. de Souza, Mauricio C. & de Carvalho, Carlos R.V. & Brizon, Wellington B., 2008. "Packing items to feed assembly lines," European Journal of Operational Research, Elsevier, vol. 184(2), pages 480-489, January.

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