Resource allocation is always a challenge especially in complicate and uncertain production logistics systems. Production logistics systems, as integrated production and logistics systems, have attracted increased attention in supply chain and industrial production research. This paper focuses on the problem of unbalanced and unreasonable resource allocation caused by the lack of an efficient and practical resource allocation methodology in production logistics systems. We propose a resource allocation methodology for a production logistics system, and provide the specific modelling and simulation procedures. In the case study, we use factor experiment to distinguish bottleneck resources from non-bottleneck resources, and compare the performance of 160 different allocation schemes, and obtain the optimal configuration of each resource including the number of AGV, the speed of AGV and the capacity of each buffer based on the proposed methodology and simulation procedures. The results of the case study illustrate the effectiveness and practicality of the resource allocation methodology based on object-oriented discrete event simulation. Both the case study and the allocation methodology can provide reference for similar resource allocation problems.

资源分配始终是一个挑战，尤其是在复杂且不确定的生产物流系统中。生产物流系统作为集成的生产和物流系统，已在供应链和工业生产研究中引起了越来越多的关注。本文关注的是由于生产物流系统缺乏有效而实用的资源分配方法而导致的资源分配不平衡和不合理的问题。我们提出了一种生产物流系统的资源分配方法，并提供了特定的建模和仿真程序。在案例研究中，我们使用因子实验来区分瓶颈资源和非瓶颈资源，并比较了160种不同分配方案的性能，根据所提出的方法和仿真程序，获得包括AGV的数量，AGV的速度和每个缓冲区的容量在内的每种资源的最佳配置。案例研究的结果说明了基于面向对象的离散事件模拟的资源分配方法的有效性和实用性。案例研究和分配方法都可以为类似的资源分配问题提供参考。