Deploying complex decision technologies with APL to solve the daily output planning problem: a tale from two of the last of the Jedi Knights

  • Authors:
  • Kenneth Fordyce;Gerald Gary Sullivan

  • Affiliations:
  • IBM Management Technologies, 227 Evergreen Lane, Hurley, NY;IBM Management Technologies, 5 Alexis Drive, Burlington, VT

  • Venue:
  • APL '95 Proceedings of the international conference on Applied programming languages
  • Year:
  • 1995

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Abstract

A key decision faced each day, shift, or time period at a semiconductor manufacturing facility is how many wafers or lots it should commit to produce at each operation over a specified period of time to meet immediate demand and position the line to meet tomorrow's demand. This paper will describe an approach which integrates various decision technologies using APL to generate a “daily output plan” for low part number high volume wafer fabrication lines. A related approach for high part number logic lines using due dates is not described in this paper. The ability of the “APL Problem Solving environment” to easily handle very different decision technologies was critical to the development of this approach.