Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/25464
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Deza, Antoine | - |
dc.contributor.advisor | Huang, Kai | - |
dc.contributor.author | Wang, Xiao Jiao | - |
dc.date.accessioned | 2020-05-21T17:29:43Z | - |
dc.date.available | 2020-05-21T17:29:43Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://hdl.handle.net/11375/25464 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.subject | stochastic optimization | en_US |
dc.subject | assemble-to-order systems | en_US |
dc.subject | periodic review | en_US |
dc.subject | bill-of-materials | en_US |
dc.subject | base stock | en_US |
dc.subject | inventory allocation | en_US |
dc.title | Stochastic Programming Formulations and Structural Properties for Assemble-to-Order Systems | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Computing and Software | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
wang_xiaojiao_202004_PhD.pdf | 492.29 kB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.