针对中小企业生产优化的 Big-M 方法改进及其敏感性分析

N. Fadhilah, B. Prihandono., Yudhi Yudhi
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引用次数: 0

摘要

UKM(中小企业)X 是一家生产各种花生脆的企业。Rempeyek 适合作为零食,深受儿童和成人的喜爱。UKM X 的生产过程与需求量和原材料的可用性有关。因此,UKM X 需要优化生产计划,以满足客户需求并获得最大利润。使用 Big-M 方法的原因是,在生产目标的障碍函数上存在一个等式,因此必须在其解中添加人工变量。在本研究中,对 Big-M 方法进行了修改,在完成阶段使用了两个矩阵阶次的行列式算法迭代。计算结果得出,UKM X 在一周内生产 56 公斤花生、20 公斤种子、16 公斤菠菜、23 公斤豆豉和 60 公斤虾的最大利润为 5.455.775 卢比,既满足了客户要求,又利用了原材料供应。随后,对目标函数系数和障碍右街常数进行了敏感性分析,以确定变化对最优解的影响。结果表明,当利润在所获得的区间内时,方案仍然是最优的,但最大利润值会随着产量的不断变化而变化。根据计算结果,当变化值在求得的区间内时,原材料供应保持最优。
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Modifikasi Metode Big-M dan Analisis Sensitivitasnya untuk Optimasi Produksi Usaha Kecil Menengah
UKM (Small and Medium Enterprises) X is a business that produces various types of peanut brittle. Rempeyek is suitable as a snack and is popular with children and adults. The production process of UKM X is related to the quantity of demand and availability of raw materials. Therefore, optimal production planning is needed for UKM X to meet customer demand and obtain maximum profits. The problem of production is modeled into linear programming with the method used, namely, the method of Big M. The Big-M method is used because, on the function of the barrier on the production target, there is an equation , so artificial variables must be added to its solution. In this study, a modification of the Big-M method is made, and at the completion stage, it uses iteration with the determinant algorithm of the order of two matrices. The calculation results obtained the maximum profit of UKM X in a week of Rs5.455.775 by producing 56 kg of peanuts, 20 kg of seeds, 16 kg of spinach, 23 kg of tempe, and 60 kg of shrimp to meet customer requirements and utilize the availability of raw materials. Subsequently, sensitivity analysis is performed on the target function coefficient and the right street constants of the barrier to determine how the change affects the optimal solution. The results show that the solution remains optimal when profits are in the interval obtained, but the maximum profit value changes with constant production. Based on the calculation results, raw material supplies remain optimal when the change value is within the interval obtained.
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