Sausage Blending Using Multiple Objective Linear Programming
提出一种多目标线性规划方法，用于解决香肠混合中成本、颜色、脂肪、蛋白质等多个冲突目标的优化问题，为食品生产决策提供改进工具。
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.