交付窗口约束下的订单派发决策优化
Optimizing Order Dispatch Decisions under Delivery Window Constraints
AI总结：
本研究针对二级供应链中订单派发受交付窗口约束导致的提前期与成本权衡问题，提出一种仿真优化方法确定最优订货与派发规则，发现单队列基于数量的先进先出派发方法能最大程度降低成本并保持服务水平。
摘要：
本研究聚焦于二级供应链中的订单派发决策，其中订单派发通过形成经济批量来降低交付成本。派发订单通常受交付窗口约束，导致延迟交付产生惩罚成本。过长的派发时间会增加订单提前期，并可能违反这些交付窗口。为平衡提前期与经济交付之间的权衡，本研究提出了一种仿真优化方法，用于确定最优的订货与派发规则。该研究强调了订单派发过程的复杂性，并探讨了如何将其集成到仿真优化流程中，以改进订货与交付决策。研究评估了实施派发规则的多种选项，包括派发队列数量和优先派发。结果表明，单队列、基于数量的先进先出派发方法在保持理想服务水平的同时，实现了最大的成本降低。
英文摘要：
This study focuses on order dispatch decisions within two-echelon supply chains, where order dispatch creates economic shipments to reduce delivery costs. Dispatching orders is often constrained by delivery windows, leading to penalty costs for untimely deliveries. Prolonged dispatch times can increase the lead time of orders and potentially violate these delivery windows. To balance the trade-offs between lead time and economic delivery, this study introduces a simulation-optimization approach for determining optimal ordering and dispatch rules. It emphasizes the intricacies of the order dispatch process and explores how these can be integrated into the simulation-optimization procedure to improve ordering and delivery decisions. The study evaluates various options for implementing dispatch rules, including the number of dispatch queues and prioritized dispatch. The results indicate that a single-queue, quantity-based, first-in-first-out dispatch approach achieves the greatest cost reduction while maintaining a desirable service level.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
