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https://dair.nps.edu/handle/123456789/2696
Title: | Improved Acquisition for System Sustainment: Multi-sourcing Resilient Supplier Selection Under Stochastic Disruptions |
Authors: | Kash Barker Jose E. Ramirez-Marquez |
Keywords: | Acquisition System Sustainment Resilience-Based Supplier Selection Maintenance Repair Overhaul Acquisition |
Issue Date: | 23-May-2017 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | Supply Chain Management UOK-LM-17-199 |
Abstract: | Recognizing the inevitability of large-scale disruptions, emphasis in supply chain decision making has shifted from prevention and protection to resilience, or the ability to withstand, adapt to, and recover in a timely manner from a disruptive event. Recent work in supply chain resilience has primarily consisted of qualitative frameworks and lessons learned after disruptions. This project addresses resilient supplier selection, a significant concern across industry and government enterprises. This work develops a supplier selection decision framework that includes (i) a multi-objective optimization formulation for multi-sourced supplier selection and (ii) a means to address uncertainty underlying the occurrence of a disruptive event through a Bayesian network-driven measure of disruption likelihood. The model accounts for several resilience strategies such as increasing supplier capacity beyond normal levels is a mitigation strategy to fortify suppliers against disruption, connecting firms to a back-up supplier as a contingency strategy that allows the supplier to adapt its loss by reconfiguring the channels for the movement of materials, and a contingency strategy of having additional recovery resources to enable suppliers to restore lost capacity more quickly. |
Description: | Logistics Management / Grant-funded Research |
URI: | https://dair.nps.edu/handle/123456789/2696 |
Appears in Collections: | Sponsored Acquisition Research & Technical Reports |
Files in This Item:
File | Size | Format | |
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UOK-LM-17-199.pdf | 596.37 kB | Adobe PDF | View/Open |
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