A mathematical modeling approach for supply chain management under disruption and operational uncertainty
A mathematical modeling approach for supply chain management under disruption and operational uncertainty
复制标题
中断和运营不确定性下供应链管理的数学建模方法
DOI：
10.1002/aic.18037
复制
发表时间：
2023
期刊：
影响因子：
3.7
通讯作者：
Ierapetritou, Marianthi
中科院分区：
文献类型：
--
作者：
Badejo, Oluwadare;Ierapetritou, Marianthi
在这项工作中，我们提出了一个两阶段的随机规划模型的四级供应链问题，考虑可能的中断在节点（供应商和设施），以及连接的运输方式和运营的不确定性形式的不确定需求。第一阶段的决策是供应商的选择，生产基地和仓库的能力水平，库存水平，运输方式的选择，并在一定时期内的装运决策，和第二阶段预期的成本，以满足未来的需求，第一阶段的决策。将两阶段随机模型与多阶段确定性模型的解进行比较，结果表明随机模型在第一阶段做出了更好的决策，以对冲未来需求。这项研究表明，所提出的模型在决策供应链网络中的中断和运营的不确定性都占管理的可行性。
In this work, we proposed a two‐stage stochastic programming model for a four‐echelon supply chain problem considering possible disruptions at the nodes (supplier and facilities) as well as the connecting transportation modes and operational uncertainties in form of uncertain demands. The first stage decisions are supplier choice, capacity levels for manufacturing sites and warehouses, inventory levels, transportation modes selection, and shipment decisions for the certain periods, and the second stage anticipates the cost of meeting future demands subject to the first stage decision. Comparing the solution obtained for the two‐stage stochastic model with a multi‐period deterministic model shows that the stochastic model makes a better first stage decision to hedge against the future demand. This study demonstrates the managerial viability of the proposed model in decision making for supply chain network in which both disruption and operational uncertainties are accounted for.