In manufacturing shops in practice, machine capacity is often constrained by more than one type of resource. Yet research mainly focusses on the effects of only one type of resource that constrains machine capacity, e.g. labour, tooling or auxiliary constraints. In response, we use simulation to assess the impact of order release, dispatching and resource assignment rules in make-to-order job shops with multiple resource constraints. The capacity wasted while a machine stands idle waiting for other resources increases with the number of constraints, and all three production planning and control functions have little impact on this waiting time. Effective production planning and control can however improve operational performance in terms of time and tardiness-related measures. In general, combining order release control with a dispatching rule that prioritises jobs for which all resources are available at dispatching and a longest queue resource assignment rule leads to the best performance. Most importantly, and rather counterintuitively, prioritising orders with the fewest missing resources worsens the performance of both the dispatching and resource assignment rule since it reduces resource utilisation during periods of high load. Results from dual resource-constrained shops are consequently not directly transferable to more complex resource-constrained shops.

在实践中的制造车间，机器产能通常受到不止一种资源的限制。然而，研究主要集中在限制机器能力的一种资源的影响上，例如劳动力、工具或辅助限制。作为回应，我们使用模拟来评估订单发布、调度和资源分配规则在具有多种资源约束的按订单生产车间的影响。机器闲置等待其他资源时浪费的容量随着约束的数量而增加，并且所有三个生产计划和控制功能对这个等待时间的影响很小。然而，有效的生产计划和控制可以在时间和迟到相关措施方面提高运营绩效。一般来说，将订单释放控制与调度规则相结合，调度规则优先考虑所有资源在调度时可用的作业，并且最长的队列资源分配规则导致最佳性能。最重要的是，与直觉相反，优先考虑缺失资源最少的订单会降低调度和资源分配规则的性能，因为它会降低高负载期间的资源利用率。因此，双重资源受限商店的结果不能直接转移到更复杂的资源受限商店。对缺失资源最少的订单进行优先排序会降低调度和资源分配规则的性能，因为它会降低高负载期间的资源利用率。因此，双重资源受限商店的结果不能直接转移到更复杂的资源受限商店。对缺失资源最少的订单进行优先排序会降低调度和资源分配规则的性能，因为它会降低高负载期间的资源利用率。因此，双重资源受限商店的结果不能直接转移到更复杂的资源受限商店。