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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/25464
Title: Stochastic Programming Formulations and Structural Properties for Assemble-to-Order Systems
Authors: Wang, Xiao Jiao
Advisor: Deza, Antoine
Huang, Kai
Department: Computing and Software
Keywords: stochastic optimization;assemble-to-order systems;periodic review;bill-of-materials;base stock;inventory allocation
Publication Date: 2020
Abstract: Lowering the degree of component commonality may yield a higher type-II service level for a periodic review assemble-to-order system that aims to maximize reward. This is achieved via separating inventories of all the shared components for different products. We investigate the optimal bill-of-materials structure for two-product assemble-to-order systems with arbitrary number of components. The inventory of a shared component can be separated or common between different products. We show that an optimal bill-of-materials can be characterized between the following two extremal configurations: either two products share all common components, or they do not share any common component.
URI: http://hdl.handle.net/11375/25464
Appears in Collections:Open Access Dissertations and Theses

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