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Selection and Design of Heuristic Procedures for Solving Roll Trim Problems

Author

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  • Robert W. Haessler

    (Associate Professor of Operations Management, University of Michigan, Graduate School of Business Administration, Ann Arbor, Michigan 48109-1234)

Abstract

This paper discusses the selection and design of heuristic procedures for solving one-dimensional roll trim problems. These are well-defined combinatorial problems which are too large to optimize. Five different roll trim problems from the paper and film industries are described along with the heuristic procedures that have been used successfully to improve the quality of the solutions generated. The paper concludes with some general guidelines for developing "industrial-grade" heuristic problem solving procedures.

Suggested Citation

  • Robert W. Haessler, 1988. "Selection and Design of Heuristic Procedures for Solving Roll Trim Problems," Management Science, INFORMS, vol. 34(12), pages 1460-1471, December.
    • Handle: RePEc:inm:ormnsc:v:34:y:1988:i:12:p:1460-1471
    DOI: 10.1287/mnsc.34.12.1460
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    Cited by:

    1. Sesh Murthy & Rama Akkiraju & Richard Goodwin & Pinar Keskinocak & John Rachlin & Frederick Wu & James Yeh & Robert Fuhrer & Santhosh Kumaran & Alok Aggarwal & Martin Sturzenbecker & Ranga Jayaraman &, 1999. "Cooperative Multiobjective Decision Support for the Paper Industry," Interfaces, INFORMS, vol. 29(5), pages 5-30, October.
    2. Silva, Eduardo M. & Melega, Gislaine M. & Akartunalı, Kerem & de Araujo, Silvio A., 2023. "Formulations and theoretical analysis of the one-dimensional multi-period cutting stock problem with setup cost," European Journal of Operational Research, Elsevier, vol. 304(2), pages 443-460.
    3. Pinar Keskinocak & Frederick Wu & Richard Goodwin & Sesh Murthy & Rama Akkiraju & Santhosh Kumaran & Annap Derebail, 2002. "Scheduling Solutions for the Paper Industry," Operations Research, INFORMS, vol. 50(2), pages 249-259, April.
    4. Gramani, Maria Cristina N. & Franca, Paulo M., 2006. "The combined cutting stock and lot-sizing problem in industrial processes," European Journal of Operational Research, Elsevier, vol. 174(1), pages 509-521, October.
    5. Tao Wu & Kerem Akartunal? & Raf Jans & Zhe Liang, 2017. "Progressive Selection Method for the Coupled Lot-Sizing and Cutting-Stock Problem," INFORMS Journal on Computing, INFORMS, vol. 29(3), pages 523-543, August.

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