Cooperative Multiobjective Decision Support for the Paper Industry
Sesh Murthy,
Rama Akkiraju,
Richard Goodwin,
Pinar Keskinocak,
John Rachlin,
Frederick Wu,
James Yeh,
Robert Fuhrer,
Santhosh Kumaran,
Alok Aggarwal,
Martin Sturzenbecker,
Ranga Jayaraman and
Robert Daigle
Additional contact information
Sesh Murthy: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
Rama Akkiraju: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
Richard Goodwin: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
Pinar Keskinocak: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
John Rachlin: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
Frederick Wu: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
James Yeh: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
Robert Fuhrer: IBM T. J. Watson Research Center, Route 134, Yorktown Heights, New York 10598
Santhosh Kumaran: IBM Supply Chain Optimization Development
Alok Aggarwal: IBM Supply Chain Optimization Development
Martin Sturzenbecker: IBM Internet Division
Ranga Jayaraman: IBM Storage System Division
Robert Daigle: IBM Corporation
Interfaces, 1999, vol. 29, issue 5, 5-30
Abstract:
We built and deployed a decision-support system for scheduling paper manufacturing and distribution, an extremely complex task with multiple stages of production and strong interaction between stages. In contrast to earlier approaches, our system considers multiple scheduling objectives and multiple stages of production and distribution simultaneously using multiple evaluation criteria. Our system functions as an intelligent assistant to the schedulers and generates multiple good scheduling alternatives using a portfolio of algorithms and direct human-expert input. The successful deployment of our system at several paper mills in North America has resulted in significant savings, greater customer satisfaction, and improved business processes.
Keywords: production/scheduling; planning; industries; paper (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:29:y:1999:i:5:p:5-30
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