Risk control for staff planning in e-commerce warehouses
针对电子商务仓库订单波动大、规划不确定的问题，开发了一个决策支持工具，帮助管理者在不确定条件下选择风险策略并制定人员计划。通过荷兰电商仓库的验证，发现多期条件风险价值方法最适用。
Internet sale supply chains often need to fulfil quickly small orders for many customers. The resulting high demand and planning uncertainties pose new challenges for e-commerce warehouse operations. Here, we develop a decision support tool to assist managers in selecting appropriate risk policies and making staff planning decisions in uncertain conditions. Multistage stochastic modelling has been used to analyse risk optimisation approaches and expected value-based optimisation. Exhaustive numerical and practical validations have been performed to test the tool’s applicability. We demonstrate, using a Dutch e-commerce warehouse, that the multi-period conditional value at risk appears to be most applicable.