Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach
研究将数据包络分析模型融入供应链网络设计，同时考虑效率和成本，并用场景鲁棒优化处理数据不确定性，帮助企业在不确定条件下选择生产商和分销商位置及采购量。
Designing a supply chain network (SCN) is an important issue for organizations in competitive markets. In this paper, a novel robust SCN that considers the efficiencies and costs simultaneously is proposed. In order to estimate the efficiency of the producers and distributors, data envelopment analysis (DEA) model is incorporated into SCN. Moreover, to handle the uncertainty in data, a scenario-based robust optimization approach is applied. The proposed model finds out the efficient location of producers and distributors and determines the amount of purchases from each supplier in uncertain conditions. To illustrate the application of the proposed model, a numerical example is solved and results are analyzed.