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Cited by 406

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Time Value of Commercial Product Returns

Guide, V. Daniel R., Souza, Gilvan C., Van Wassenhove, Luk N., Blackburn, Joseph D.·2006·Management Science

Abstract

Manufacturers and their distributors must cope with an increased flow of returned products from their customers. The value of commercial product returns, which we define as products returned for any reason within 90 days of sale, now exceeds $100 billion annually in the United States. Although the reverse supply chain of returned products represents a sizeable flow of potentially recoverable assets, only a relatively small fraction of the value is currently extracted by manufacturers; a large proportion of the product value erodes away because of long processing delays. Thus, there are significant opportunities to build competitive advantage from making the appropriate reverse supply chain design choices. In this paper, we present a network flow with delay models that includes the marginal value of time to identify the drivers of reverse supply chain design. We illustrate our approach with specific examples from two companies in different industries and then examine how industry clockspeed generally affects the choice between an efficient and a responsive returns network.

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Metadata

Authors
Guide, V. D. R., Souza, G. C., Van Wassenhove, L. N., & Blackburn, J. D.
Venue
Management Science
Published
2006-08
Volume
52
Issue
8
Pages
1200-1214
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2104224615
Cited by
406
References
23
FWCI
47.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Time Value of Commercial Product Returns. https://app.cochat.ai/papers/10.1287/mnsc.1060.0522
The paper
Guide, V. D. R., Souza, G. C., Van Wassenhove, L. N., & Blackburn, J. D. (2006). Time Value of Commercial Product Returns. Management Science. https://doi.org/10.1287/mnsc.1060.0522

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.