Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry
Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry
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DOI：
10.1016/j.omega.2012.03.007
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发表时间：
2013-04-01
影响因子：
6.9
通讯作者：
Papageorgiou, Lazaros G.
中科院分区：
文献类型：
--
作者：
Liu, Songsong;Papageorgiou, Lazaros G.
供应链的绩效通常应该用多个标准来衡量。我们同时考虑成本、响应能力和客户服务水平，解决全球供应链的生产、分销和能力规划问题。提出了一种以总成本、总流水时间和总销售损失为主要目标的多目标混合整数线性规划方法。此外，该模型还考虑了两种扩大配方厂产能的策略。对于这一多目标问题，本文采用了Esilon约束法和字典序极大极小法作为求解方法。最后，通过一个数值算例验证了所提模型和求解方法的适用性。(C)2012爱思唯尔有限公司。保留所有权利。
The performance of a supply chain should usually be measured by multiple criteria. We address production, distribution and capacity planning of global supply chains considering cost, responsiveness and customer service level simultaneously. A multiobjective mixed-integer linear programming (MILP) approach is developed with total cost, total flow time and total lost sales as key objectives. Also, two strategies to expand the formulation plants' capacities are considered in the model. The epsilon-constraint method and lexicographic minimax method are used as solution approaches to tackle the multiobjective problem. Finally, a numerical example is investigated to demonstrate the applicability of the proposed model and solution approaches. (C) 2012 Elsevier Ltd. All rights reserved.