This research has aimed itself at capitalizing the benefits of CPS-enabled visibility and traceability technology for adaptive synchronization of pick-and-sort ecommerce order fulfilment. With assistance of IoT systems, the involved men, materials, and machines are turned into smart objects, deploying in the real-time environment. According to the real-time data collected from working stages, an adaptive synchronization mechanism with associated HGA-VNS algorithm is proposed to balance the picking simultaneity and sorting punctuality. Picking simultaneity attempts to make the items of a pick wave to be picked by several pickers in their particular working zone simultaneously and finished in a same time window, so that the subsequent sorting process could be started as early as possible. Sortation punctuality aims to ensure that the due date of an individual order is satisfied. The presented method is verified and evaluated via a case study. Trade-off analysis and sensitivity analysis are also examined with several key findings, considering varied order fulfilment scenarios such as slack / busy season, zoning effects, and item assignment policy.

这项研究的目标是利用CPS启用的可见性和可追溯性技术的优势，以实现拣选和拣选电子商务订单履行的自适应同步。借助物联网系统，相关人员，材料和机器将变成智能对象，并在实时环境中进行部署。根据工作阶段收集到的实时数据，提出了一种自适应同步机制和相关的HGA-VNS算法，以平衡拣选的同时性和排序的准时性。拣选同时性试图使拣选波中的项目同时被多个拣选人员在其特定工作区域中拣选并在同一时间窗口内完成，以便可以尽早开始后续的拣选过程。准时排序旨在确保满足单个订单的到期日期。通过案例研究验证和评估了所提出的方法。权衡分析和敏感性分析也结合几个关键发现进行了研究，其中考虑了各种订单履行情况，例如闲/忙季节，分区效应和项目分配策略。