ABSTRACT

With the continuous pressures on customized requirements demands, large-scale multiple-stage production systems in industrial parks are suffering from the complex dynamic impact of uncertainties. These uncertainties are caused by the randomness of customer orders, dynamics of production demand, the uncertainty of production resources, etc. It brings enormous challenges to system operation and decision-making for the Production Logistics (PL) system, which includes how to acquire the full-scale, accurate and real-time execution status of the PL system, and how to make a systematic and adaptability decision by synchronizing every stage in the system under the uncertainties. Taking the PL system of an industrial park as the research object, this paper analyses the problems and challenges in the operation mode of the transportation stage, the perception of dynamics, and the synchronization management and control between the related stages in the dynamic environment. Then the mode of Vehicle Routing Problems with Pick-up and Delivery (VRPDP) is improved and a digital twin-driven decision-making information architecture is proposed, meanwhile, a real-time dynamic synchronization control mechanism is developed to synchronizing the PL system through the transportation stage. Finally, a case study is proposed to verify the feasibility and validity of the proposed method under dynamic disturbance.

摘要

随着定制化需求的持续压力，工业园区的大规模多阶段生产系统正遭受着复杂的不确定性动态影响。这些不确定性是由客户订单的随机性、生产需求的动态性、生产资源的不确定性等引起的，给生产物流（PL）系统的系统运行和决策带来了巨大的挑战，包括如何获取PL 系统的全面、准确、实时的执行状态，以及如何在不确定性下同步系统中的各个阶段，做出系统的、适应性的决策。本文以某工业园区PL系统为研究对象，分析了运输阶段运营模式中存在的问题和挑战，动态感知，动态环境中相关阶段之间的同步管控。在此基础上，改进了带取货和交付的车辆路径问题（VRPDP）模式，提出了数字孪生驱动的决策信息架构，同时开发了一种实时动态同步控制机制，通过运输阶段。最后，通过一个案例研究来验证所提出方法在动态扰动下的可行性和有效性。开发了一种实时动态同步控制机制，通过传输阶段同步PL系统。最后，通过一个案例研究来验证所提出方法在动态扰动下的可行性和有效性。开发了一种实时动态同步控制机制，通过传输阶段同步PL系统。最后，通过一个案例研究来验证所提出方法在动态扰动下的可行性和有效性。