Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning

Boxiao Chen
Corresponding Author
Boxiao Chen
[email protected]
https://orcid.org/0000-0002-5967-4822
Information and Decision Sciences, College of Business Administration, University of Illinois, Chicago, Illinois 60607
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,
Cong Shi
Cong Shi
[email protected]
https://orcid.org/0000-0003-3564-3391
Management, Miami Herbert Business School, University of Miami, Coral Gables, Florida 33146
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Corresponding Author

Boxiao Chen

[email protected]

https://orcid.org/0000-0002-5967-4822

Information and Decision Sciences, College of Business Administration, University of Illinois, Chicago, Illinois 60607

Search for more papers by this author

,

Cong Shi

[email protected]

https://orcid.org/0000-0003-3564-3391

Management, Miami Herbert Business School, University of Miami, Coral Gables, Florida 33146

Search for more papers by this author

Published Online:20 Dec 2024https://doi.org/10.1287/opre.2022.0624

Supplemental Material

opre.2022.0624.sm1.pdf

opre.2022.0624.sm2.zip

cover image Operations Research

Volume 73, Issue 4

July-August 2025

Pages iii-viii, 1723-2295, C2-C3

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Received:November 29, 2022
Accepted:September 11, 2024
Published Online:December 20, 2024

Copyright © 2024, INFORMS

Cite as

Boxiao Chen, Cong Shi (2024) Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning. Operations Research 73(4):1723-1743.

https://doi.org/10.1287/opre.2022.0624

Keywords

Acknowledgments

The authors thank the area editor Professor Tava Olsen, the associate editor, and the three anonymous referees for their very detailed and constructive comments, which have helped significantly improve the content and exposition of this paper.