Queueing Model Improves IBM's Semiconductor Capacity and Lead-Time Management

Steven M. Brown (), Thomas Hanschke (), Ingo Meents (), Benjamin R. Wheeler () and Horst Zisgen ()
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Steven M. Brown: IBM Systems and Technology Group, Hopewell Junction, New York 12533
Thomas Hanschke: Department of Mathematics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany
Ingo Meents: IBM Deutschland Research and Development GmbH, Mainz, Germany
Benjamin R. Wheeler: MIT Sloan School of Management, Cambridge, Massachusetts 02142
Horst Zisgen: IBM Deutschland Research and Development GmbH, Mainz, Germany

Interfaces, 2010, vol. 40, issue 5, 397-407

Abstract: At IBM's 300 mm semiconductor plant in East Fishkill, New York, we developed and implemented the Enterprise Production Planning and Optimization System (EPOS), an advanced queueing network model for capacity planning. EPOS extends earlier queueing network models by adding the ability to model product-specific batch service and batch arrivals and multichamber process equipment, and by embedding a linear program for allocating lots to the right queues when route choices are present. EPOS addresses both short-term tactical capacity planning and long-term strategic capital investment planning. It has become an integral part of predicting factory bottlenecks, prioritizing continuous-improvement efforts, planning capital equipment investments, and managing factory lead times. EPOS results have guided IBM's efforts to improve factory performance and reduce tens of millions of dollars of expense.

Keywords: queueing networks; linear programming; semiconductors; manufacturing management; capacity planning; lead-time planning (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (4)

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