Multiobjective supply chain design under uncertainty
Multiobjective supply chain design under uncertainty
复制标题
DOI：
10.1016/j.ces.2004.10.023
复制
发表时间：
2005-03
影响因子：
4.7
通讯作者：
G. Guillén;F. Mele;M. Bagajewicz;A. Espuña;L. Puigjaner
中科院分区：
文献类型：
--
作者：
G. Guillén;F. Mele;M. Bagajewicz;A. Espuña;L. Puigjaner
本文研究了由多个生产工厂、仓库和市场以及相关的分销系统组成的供应链的设计和改造问题。第一个问题公式修改和扩展了其他先前提出的模型，以便包括几个基本特征，以实际地表示设计决策对SC性能的影响。然后，为了考虑生产情景中不确定性的影响，构建了两阶段随机模型。问题目标，即供应链绩效，不仅要考虑时间范围内的利润，还要考虑由此产生的需求满意度。这种方法可用于获得不同类型的解决方案，这些解决方案可能在不同级别上具有价值。一方面，通过确定性数学规划得到的SC构型可以与代表不同面对不确定性方法的不同随机情景所确定的SC构型进行比较。此外，这种方法能够考虑和管理与不同设计选项相关的财务风险，从而产生一组可用于决策的帕累托最优解决方案。
In this article, the design and retrofit problem of a supply chain (SC) consisting of several production plants, warehouses and markets, and the associated distribution systems, is considered. The first problem formulation modifies and extends other previously presented models, in order to include several essential characteristics for realistically representing the consequences of design decisions on the SC performance. Then, in order to take into account the effects of the uncertainty in the production scenario, a two-stage stochastic model is constructed. The problem objective, i.e., SC performance, is assessed by taking into account not only the profit over the time horizon, but also the resulting demand satisfaction. This approach can be used to obtain different kinds of solutions, that may be valuable at different levels. On one hand, the SC configurations obtained by means of deterministic mathematical programming can be compared with those determined by different stochastic scenarios representing different approaches to face uncertainty. Additionally, this approach enables to consider and manage the financial risk associated to the different design options, resulting in a set of Pareto optimal solutions that can be used for decision-making.