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Sausage Blending Using Multiple Objective Linear Programming


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  • Ralph E. Steuer

    (College of Business Administration, University of Georgia, Athens, Georgia 30602)

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    Single objective cost minimization linear programming models are used as computerized decision-aids in sausage manufacturing (hot dogs, bologna, salami, etc.). However, sausage blending is clearly a problem with multiple conflicting criteria (cost, color, fat, protein, moisture, etc.) Presented in this paper is a vector-maximum/filtering MOLP (multiple objective linear programming) methodology for use as an improved decision-making approach with single formula sausage blending problems.

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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 30 (1984)
    Issue (Month): 11 (November)
    Pages: 1376-1384

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    Handle: RePEc:inm:ormnsc:v:30:y:1984:i:11:p:1376-1384

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    Keywords: sausage manufacturing; linear programming; multiple objective programming; vector maximization;


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    Cited by:
    1. Wang, Hsiao-Lin, 1996. "A systematic approach to natural recreational resource management," Socio-Economic Planning Sciences, Elsevier, vol. 30(1), pages 39-49, March.
    2. Agrell, Per J., 1995. "A multicriteria framework for inventory control," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 59-70, October.
    3. Gass, Saul I. & Roy, Pallabi Guha, 2003. "The compromise hypersphere for multiobjective linear programming," European Journal of Operational Research, Elsevier, vol. 144(3), pages 459-479, February.


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