Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/1111
Title: | Mixture Distributions for Modeling Lead Time Demand in Coordinated Supply Chains |
Authors: | Barry Cobb Alan W. Johnson |
Keywords: | Lead Time Demand Inventory Supply Chain |
Issue Date: | 30-Apr-2014 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | Supply Chain SYM-AM-14-060 |
Abstract: | This paper introduces a mixture distribution approach to modeling the probability density function for lead time demand (LTD) in problems where a continuous review inventory system is implemented. The method differs from the typical moment-matching approach by focusing on building up an accurate, closed-form approximation to the LTD distribution from its components by using mixtures of polynomial functions. First, construction of the lead time distribution is illustrated and the approach is compared to two other possible lead time distributions. This distribution is then utilized to determine optimal order policies in a situation where members of a two-level supply chain coordinate their actions. |
Description: | Acquisition Management / Defense Acquisition Community Contributor |
URI: | https://dair.nps.edu/handle/123456789/1111 |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Size | Format | |
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SYM-AM-14-060.pdf | 385.38 kB | Adobe PDF | View/Open |
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