Component ordering policies for selective assembly
研究了在固定料箱选择性装配过程中，考虑分箱随机性和需求随机性的零部件订购策略，利用极值理论近似完成装配数量，并通过隐式枚举法确定满足服务水平的订购量。
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.