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Abstract
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.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Timothy L. Urban
Timothy L. Urban is Professor Emeritus of Operations Management in the Collins College of Business at The University of Tulsa where he previously held the J. Bradley Oxley Chair in Business. His research interests include inventory and production modelling, facility logistics, vehicle routing, and sports analytics. He has been ranked as one of the top-100 contributors to the operations-management research literature (according to an article published in the International Journal of Production Research).