The increasing globalisation process has led to a radical change in the production concept, moving from a mass production paradigm towards one of mass customisation (MC), and focusing on value creation by pursuing customers’ needs and increasing responsiveness. The rapid development of information technologies has also made it possible to create new manufacturing paradigms, such as Industry 4.0 and cloud manufacturing, in which the increased level of autonomy is one of the key concepts for tackling new market challenges. This paper proposes a decentralised scheduling approach that improves the performance of production systems while minimising the usually high work-in-progress (WIP) requirements of the classic centralised scheduling and inventory production control system. Using a semi-heterarchical Manufacturing Planning and Control (MPC) architecture and integrating the Industry 4.0 innovation in a cloud manufacturing environment, this work contributes to the design of the lower level of the MPC architecture. The resulting production controller can allocate jobs following different dispatching rules dynamically. The performances of the proposed approach were assessed for different production scenarios and control parameter settings through an exhaustive experimental campaign based on hybrid simulation tools. The results showed that the proposed low-level controller led to a productivity increase while delivering increased responsiveness.

日益增长的全球化进程导致了生产理念的根本变化，从大规模生产范式转变为大规模定制（MC）之一，并通过追求客户需求和增强响应能力来专注于价值创造。信息技术的飞速发展也使得创建新的制造业范式成为可能，例如工业4.0和云制造，其中自主性水平的提高是应对新市场挑战的关键概念之一。本文提出了一种分散式调度方法，该方法可提高生产系统的性能，同时将传统的集中式调度和库存生产控制系统通常需要较高的在制品（WIP）的需求降至最低。使用半分层制造计划和控制（MPC）架构并将Industry 4.0创新集成到云制造环境中，这项工作有助于降低MPC架构的设计水平。最终的生产控制器可以按照不同的调度规则动态分配作业。通过基于混合仿真工具的详尽实验，针对不同的生产场景和控制参数设置评估了所提出方法的性能。结果表明，所提出的低级控制器在提高响应速度的同时提高了生产率。最终的生产控制器可以按照不同的调度规则动态分配作业。通过基于混合仿真工具的详尽实验，针对不同的生产场景和控制参数设置评估了所提出方法的性能。结果表明，所提出的低级控制器在提高响应速度的同时提高了生产率。最终的生产控制器可以按照不同的调度规则动态分配作业。通过基于混合仿真工具的详尽实验，针对不同的生产场景和控制参数设置评估了所提出方法的性能。结果表明，所提出的低级控制器在提高响应速度的同时提高了生产率。