In smart manufacturing practices, finding a balance between the size of cyber-physical system (CPS) deployment and the performance of production systems is the preliminary goal pursued by some small or medium-sized one-of-a-kind production enterprises with limited resources in implementing the transformation of smart production systems. To achieve this goal, we first address the pull control strategies in lean production systems as a principle to guide the CPS deployment for shop floors. Specifically, we use the Path-based bottleneck (PBB), Constant work-in-process (CONWIP), and Capacity-slack CONWIP (CSC) as pull CPS deployment schemes, in which the CSC is a modified CONWIP strategy that integrates the order review function of the PBB. We summarize the characteristics of these pull control strategies and analyze important roles in guiding the CPS deployment. Then, we compare the performance of the three pull control strategies by simulation. Our findings show that it is feasible to get the balance between the size of CPS deployment and the system performance through a suitable pull control strategy to guide CPS deployment. Finally, we introduce a case of a strander manufacturer and use the case data to estimate the performance and implementation costs of the CPS deployment schemes which are guided by pull control strategies.

在智能制造实践中，在网络物理系统（CPS）的部署规模和生产系统的性能之间找到平衡是一些资源有限的中小型同类生产企业追求的首要目标实施智能生产系统的改造。为了实现这一目标，我们首先解决精益生产系统中的拉力控制策略，作为指导车间CPS部署的原则。具体来说，我们使用基于路径的瓶颈（PBB），恒定在制品（CONWIP）和产能不足的CONWIP（CSC）作为拉动CPS部署方案，其中CSC是集成了订单的修改后的CONWIP策略审查PBB的功能。我们总结了这些拉动控制策略的特征，并分析了在指导CPS部署中的重要作用。然后，我们通过仿真比较了三种拉动控制策略的性能。我们的发现表明，通过适当的拉动控制策略来指导CPS部署，在CPS部署的大小和系统性能之间取得平衡是可行的。最后，我们介绍了一个绞线制造商的案例，并使用案例数据来估计以拉动控制策略为指导的CPS部署方案的性能和实施成本。我们的发现表明，通过适当的拉动控制策略来指导CPS部署，在CPS部署的大小和系统性能之间取得平衡是可行的。最后，我们介绍了一个绞线制造商的案例，并使用案例数据来估计以拉动控制策略为指导的CPS部署方案的性能和实施成本。我们的发现表明，通过适当的拉动控制策略来指导CPS部署，在CPS部署的大小和系统性能之间取得平衡是可行的。最后，我们介绍了一个绞线制造商的案例，并使用案例数据来估计以拉动控制策略为指导的CPS部署方案的性能和实施成本。