Daily output planning: Integrating operations research, artificial intelligence, and real-time decision support with APL2

Abstract

A key decision faced each day, shift, or time period at a semiconductor manufacturing facility is how many wafers or lots should it 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 the approach used by IBM Burlington Advanced Industrial Engineering group which integrates various decision technologies using APL2 and OSL to generate a "daily output plan" for IBM's semiconductor facility near Burlington, VT. © 1992.