软饮料行业与用水相关的成本最小化模型

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY Memoria Investigaciones en Ingenieria Pub Date : 2019-01-01 DOI:10.36561/ing.17.8
André Soares da Cunha, Urivald Pawlowsky
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引用次数: 0

摘要

在巴西,一些耗水量高的工业正在制定优化战略,以防止或尽量减少潜在的新成本对泉水的影响。所得到的软饮料生产设施用水量和运行成本的最小化模型是NLP模型,无凸模型。本文给出了将广义本德分解算法应用于上部结构优化问题的结果。然而,GBD算法的使用允许一个全局最优解,其结果是一个成本较低的配水结构,而不是传统的NLP求解器-成本较高的局部最优解。求解器为GAMS®/ BDM-LP和Minos®。在不到一秒的时间内,就获得了结构的全局最优值,可以降低17%的成本。
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Modelo de minimización de costos asociados al consumo de agua en una industria de refrescos
In Brazil, some industries with high consumption of water are developing optimization strategies to prevent or minimize the impact of potential new cost on spring water. The model obtained for the minimization of the water consumption and its operation cost in a soft drink manufacturing facility is NLP and no convex one. This paper shows the results of the application of General Bender´s Decomposition algorithm, to a superstructure optimization problem. The use of the GBD algorithm allow nevertheless a global optimal solution which outcome was a water distribution structure with less cost than the one obtained with a traditional NLP solver -local optimum at higher cost. The solver was GAMS ® / with BDM-LP and Minos ®. A global optimum with the values for a structure, that allows a 17% cost reduction, was obtained in less than one second.
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来源期刊
Memoria Investigaciones en Ingenieria
Memoria Investigaciones en Ingenieria ENGINEERING, MULTIDISCIPLINARY-
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发文量
6
审稿时长
16 weeks
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