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 |
Files in This Item:
File | Description | Size | Format | |
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wang_xiaojiao_202004_PhD.pdf | 492.29 kB | Adobe PDF | View/Open |
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