In a smart factory, the decisions of planning, scheduling and dispatching are made based on the real time information through Internet-of-Things. To ensure the organization objective can be carried out through different levels faithfully, planning, scheduling and dispatching should be considered through a cyber physical production system in an integrated manner. To support the implementation of a smart factory, their definitions have to be given through a unified view. The distinction between planning and scheduling is given based on microeconomics and queueing theory. The distinction between scheduling and dispatching is analyzed from the viewpoint of computational complexity and hierarchical decomposition. Based on the elasticity of price and capacity, planning can be separated into demand planning or capacity planning. Scheduling period is the time horizon where price and average production costs are insensitive to the production rate. The critical roles of the master production schedule and throughput targets in job scheduling have been explained through the concept of hierarchical decomposition. Dispatching is the last layer of scheduling in the hierarchical decomposition.

在智能工厂中，通过物联网基于实时信息来制定计划，调度和调度决策。为了确保组织目标能够忠实地通过不同级别来实现，应该通过网络物理生产系统以集成的方式考虑计划，调度和调度。为了支持智能工厂的实施，必须通过统一视图给出其定义。计划和调度之间的区别是基于微观经济学和排队理论给出的。从计算复杂度和层次分解的角度分析了调度与调度之间的区别。根据价格和容量的弹性，可以将计划分为需求计划或容量计划。计划期是时间范围，其中价格和平均生产成本对生产率不敏感。通过层次分解的概念，解释了主生产计划和吞吐量目标在工作计划中的关键作用。调度是层次分解中调度的最后一层。