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An Optimization-Based Decision Support System for Strategic Planning in a Process Industry: The Case of an Aluminum Company in India

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  • Dutta, Goutam
  • Gupta, Narain
  • Robert Fourer

Abstract

We describe how a generic multi-period optimization-based decision support system (DSS) can be used for strategic planning in process industries. The DSS is built on five fundamental elements . materials, facilities, activities, storage areas and time periods. It requires little direct knowledge of optimization techniques to be used effectively. Results based on real data from an aluminum company in India demonstrate significant potential for improvement in profits.

Suggested Citation

  • Dutta, Goutam & Gupta, Narain & Robert Fourer, 2008. "An Optimization-Based Decision Support System for Strategic Planning in a Process Industry: The Case of an Aluminum Company in India," IIMA Working Papers WP2008-12-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
    • Handle: RePEc:iim:iimawp:wp02126
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    References listed on IDEAS

    as
    1. Stadtler, Hartmut, 1990. "A one-dimensional cutting stock problem in the aluminium industry and its solution," European Journal of Operational Research, Elsevier, vol. 44(2), pages 209-223, January.
    2. Gopal P. Sinha & B. S. Chandrasekaran & Niloy Mitter & Goutam Dutta & Sudhir B. Singh & Aditya Roy Choudhury & P. N. Roy, 1995. "Strategic and Operational Management with Optimization at Tata Steel," Interfaces, INFORMS, vol. 25(1), pages 6-19, February.
    3. Nicholls, Miles G., 1997. "Developing an integrated model of an aluminium smelter incorporating sub-models with different time bases and levels of aggregation," European Journal of Operational Research, Elsevier, vol. 99(2), pages 477-490, June.
    4. Walker, L. J. & Woolven, J. D., 1991. "Development and use of a visual interactive planning board within Alcan Aluminium," European Journal of Operational Research, Elsevier, vol. 54(3), pages 299-305, October.
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