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Optimizing Plant-Line Schedules and an Application at Hidden Valley Manufacturing Company

Author

Listed:
  • Gerald G. Brown

    (Operations Research Department, Naval Postgraduate School, Monterey, California 93943–5000)

  • Robert F. Dell

    (Operations Research Department, Naval Postgraduate School, Monterey, California 93943–5000)

  • Ray L. Davis

    (Hidden Valley Manufacturing Company, 1221 Broadway, Oakland, California 94612–1888)

  • Richard H. Duff

    (INSIGHT, Inc., Sudley North Business Center, 7960 Oonegan Drive, Suite 233, Manassas, Virginia 20109–8236)

Abstract

A plant line schedule specifies a plant's sustained batch operations over time with detail sufficient to manage all activities. Plantwide considerations include restrictions on how production centers can be formed from production lines, packaging lines, conveyers, and so forth; the cost and time of product-package item setups, changeovers, and shutdowns; honoring instock service levels, minimum inventory, and committed shipments; recognizing efficiency gains with longer batch runs; respecting crew constraints; and the costs of materials, labor, and carrying inventory. We developed a cost-minimizing optimization model, PROFITS, that features multiple independent time streams for various categories of events that mimic existing periodic reviews of operations. PROFITS is embedded in a graphical user interface that eases the grueling aspects of scheduling: preparing data, controlling scenarios, and visualizing results. At Hidden Valley Manufacturing Company, completing an eight-week plant-line schedule takes about an hour. This is much faster than manual scheduling was—and the schedules are better.

Suggested Citation

  • Gerald G. Brown & Robert F. Dell & Ray L. Davis & Richard H. Duff, 2002. "Optimizing Plant-Line Schedules and an Application at Hidden Valley Manufacturing Company," Interfaces, INFORMS, vol. 32(3), pages 1-14, June.
  • Handle: RePEc:inm:orinte:v:32:y:2002:i:3:p:1-14
    DOI: 10.1287/inte.32.3.1.44
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    References listed on IDEAS

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    1. Gerald G. Brown & Arthur M. Geoffrion & Gordon H. Bradley, 1981. "Production and Sales Planning with Limited Shared Tooling at the Key Operation," Management Science, INFORMS, vol. 27(3), pages 247-259, March.
    2. Kuik, R. & Salomon, M., 1990. "Multi-level lot-sizing problem: Evaluation of a simulated-annealing heuristic," European Journal of Operational Research, Elsevier, vol. 45(1), pages 25-37, March.
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    4. Gerald G. Brown & Robert F. Dell & R. Kevin Wood, 1997. "Optimization and Persistence," Interfaces, INFORMS, vol. 27(5), pages 15-37, October.
    5. Karla L. Hoffman & Manfred Padberg, 1993. "Solving Airline Crew Scheduling Problems by Branch-and-Cut," Management Science, INFORMS, vol. 39(6), pages 657-682, June.
    6. Sungmin Kang & Kavindra Malik & L. Joseph Thomas, 1999. "Lotsizing and Scheduling on Parallel Machines with Sequence-Dependent Setup Costs," Management Science, INFORMS, vol. 45(2), pages 273-289, February.
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    Cited by:

    1. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    2. Casey Chung & Milind Dawande & Divakar Rajamani & Chelliah Sriskandarajah, 2011. "A Short-Range Scheduling Model for Blockbuster's Order-Processing Operation," Interfaces, INFORMS, vol. 41(5), pages 466-484, October.
    3. Patrick Hew, 2007. "ASP, The Art and Science of Practice: Direct Advisors vs. Tool Developers---Implications for Practice," Interfaces, INFORMS, vol. 37(3), pages 279-284, June.

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