Operations Research
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OPERATIONS RESEARCH
Vol. 50, No. 2, March-April 2002, pp. 249-259
DOI: 10.1287/opre.50.2.249.425
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Scheduling Solutions for the Paper Industry

Pinar Keskinocak, Frederick Wu, Richard Goodwin, Sesh Murthy, Rama Akkiraju, Santhosh Kumaran, Annap Derebail

School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
IBM T. J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598
IBM T. J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598
IBM T. J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598
IBM T. J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598
IBM Supply Chain Optimization Development, 3200 Windy Hill Road, Atlanta, Georgia 30339
IBM Supply Chain Optimization Development 3200 Windy Hill Road, Atlanta, Georgia 30339
pinar{at}isye.gatech.edu

This paper describes a decision support system for paper production scheduling. This is the first system to provide an integrated solution to paper production scheduling and to consider interactions between different stages of the manufacturing and distribution process. Using a multicriteria optimization approach, the system generates multiple enterprisewide schedules to reveal tradeoffs between the multiple, often competing, objectives. The large portfolio of algorithms used by the system is embedded in an agent-based decision support framework, called Asynchronous Team (A-Team). Successful implementations of the system in several paper mills in North America have resulted in significant savings and improved customer satisfaction.

Subject classifications: Production/scheduling: multiple machine, cutting stock/firm; Decision analysis: multiple criteria; Computers/computer science: agents.
History: Received October 1999; revision received November 2000; accepted January 2001.






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