Selective assembly is an approach in which high-precision assemblies can be produced from relatively low-precision components or subassemblies. This research investigates component ordering policies for fixed-bin selective-assembly processes that consider the stochastic nature of the binning process as well as stochastic demand. The distributional aspects of the assembly process are identified, and an approximation of the number of assemblies completed is provided utilising extreme-value theory. The order quantity can then be determined to meet demand with a given service level; an implicit-enumeration procedure is presented to illustrate this process. Computational results illustrate that this is an effective approach for controlling component inventories.

选择性装配是一种方法，其中可以从相对低精度的组件或子装配中生产高精度装配。本研究调查了考虑分箱过程的随机性质以及随机需求的固定箱选择性组装过程的组件订购策略。确定了装配过程的分布方面，并利用极值理论提供了完成装配数量的近似值。然后可以确定订单数量以满足给定服务水平的需求；提出了一个隐式枚举过程来说明这个过程。计算结果表明，这是一种控制组件库存的有效方法。