Integrated maintenance scheduling for semiconductor manufacturing

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Abstract

Tools in a manufacturing plant require regular maintenance over their lifespan (e.g. cleaning, calibration, safety checks) in order to keep them running smoothly. In capital intensive industries, such as semi-conductor manufacturing, the scheduling of maintenance operations on the tools used in production is a critical function. Maintenance operations can be expensive to perform, so we should only perform them when necessary. However if maintenance is delayed too long, tools may run sub-optimally or break down (thus requiring even more expensive unplanned, corrective maintenance). Furthermore a tool that is undergoing maintenance may be partly or wholly unavailable for (revenue generating) production operations. We have developed a system to generate maintenance schedules for the IBM East Fishkill, New York 300mm semiconductor manufacturing plant. In the sections which follow, we give a description of the maintenance scheduling problem in semi-conductor manufacturing and discuss some of the challenges in solving it. We present a goal programming approach that incorporates both constraint programming and mixed-integer programming solution technologies. A system we have developed based on this approach is now in use within IBM. © 2010 Springer-Verlag.

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Davenport, A. (2010). Integrated maintenance scheduling for semiconductor manufacturing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6140 LNCS, pp. 92–96). https://doi.org/10.1007/978-3-642-13520-0_12

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