On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies

On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies In “On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies,” Federgruen, Feng, and Shanthikumar examine optimal multisourcing strategies in the presence of supply uncertainty. The authors develop a general framework based on the concept of stochastic midpoint linearity and demonstrate that a simple almost threshold policy is optimal under broad and realistic conditions. Their findings provide both theoretical insights and practical guidance for designing resilient and data-driven multisourcing systems.

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Publication Details

Journal
Operations Research
Published
2025-05-23
DOI
https://doi.org/10.1287/opre.2024.1193
Citations
1
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
2.28
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article

On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies

J. George Shanthikumar, Qi Feng, Awi Federgruen
1 citations
Operations Research
Supply Chain and Inventory Management
2.28
article

On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies

J. George Shanthikumar, Qi Feng, Awi Federgruen
article en
1 citations

Abstract

On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies In “On the Almost Threshold Policy for Multisourcing Under Uncertain Supplies,” Federgruen, Feng, and Shanthikumar examine optimal multisourcing strategies in the presence of supply uncertainty. The authors develop a general framework based on the concept of stochastic midpoint linearity and demonstrate that a simple almost threshold policy is optimal under broad and realistic conditions. Their findings provide both theoretical insights and practical guidance for designing resilient and data-driven multisourcing systems.

Operations ResearchVol. 73(5)
Purdue University West Lafayette (US), Columbia University (US)
Openalex Percentile: Top 12%
Supply Chain and Inventory Management
2.28
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