Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/2615
Title: Modeling Uncertainty in Military Supply Chain Management Decisions
Authors: Barry R. Cobb
Keywords: Modeling
Supply Chain Management
Lead Time Demand
Issue Date: 23-Jun-2014
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Supply Chain
VMI-LM-14-176
Abstract: This report 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 truncated exponential (MTE) 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 cases where a buyer makes its decisions alone, and later in a situation where members of a two-level supply chain coordinate their actions. Next, a mixture of polynomials (MOP) approach is introduced and utilized to model the LTD distribution for the case of discrete lead time and a daily demand distribution that assumes a standard form. Finally, the MOP model is extended to model an LTD distribution from empirical lead time and daily demand data.
Description: Acquisition Management / Grant-funded Research
URI: https://dair.nps.edu/handle/123456789/2615
Appears in Collections:Sponsored Acquisition Research & Technical Reports

Files in This Item:
File SizeFormat 
VMI-LM-14-176.pdf872.63 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.