Sausage Blending Using Multiple Objective Linear Programming
Ralph E. Steuer
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Ralph E. Steuer: College of Business Administration, University of Georgia, Athens, Georgia 30602
Management Science, 1984, vol. 30, issue 11, 1376-1384
Abstract:
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.
Keywords: sausage manufacturing; linear programming; multiple objective programming; vector maximization (search for similar items in EconPapers)
Date: 1984
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:30:y:1984:i:11:p:1376-1384
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