The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
In Search of the Bullwhip Effect
Abstract
The bullwhip effect is the phenomenon of increasing demand variability in the supply chain from downstream echelons (retail) to upstream echelons (manufacturing). The objective of this study is to document the strength of the bullwhip effect in industry-level U.S. data. In particular, we say an industry exhibits the bullwhip effect if the variance of the inflow of material to the industry (what macroeconomists often refer to as the variance of an industry's “production”) is greater than the variance of the industry's sales. We find that wholesale industries exhibit a bullwhip effect, but retail industries generally do not exhibit the effect, nor do most manufacturing industries. Furthermore, we observe that manufacturing industries do not have substantially greater demand volatility than retail industries. Based on theoretical explanations for observing or not observing demand amplification, we are able to explain a substantial portion of the heterogeneity in the degree to which industries exhibit the bullwhip effect. In particular, the less seasonal an industry's demand, the more likely the industry amplifies volatility—highly seasonal industries tend to smooth demand volatility whereas nonseasonal industries tend to amplify.
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Information Distortion in a Supply Chain: The Bullwhip Effect
Lee, H. L., Padmanabhan, V., & Whang, S. (1997) · Management Science · doi:10.1287/mnsc.43.4.546 · Cited by 4,698
Robust Tests for the Equality of Variances
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Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment
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Output Fluctuations in the United States: What Has Changed Since the Early 1980's?
McConnell, M. M., & Perez-Quiros, G. (2000) · American Economic Review · doi:10.1257/aer.90.5.1464 · Cited by 1,867
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Nonparametric Statistical Methods
Ramsey, P. H. (2000) · Technometrics · doi:10.1080/00401706.2000.10486020 · Cited by 1,673
The bullwhip effect in supply chains
Lee, H. L., Padmanabhan, V., & Whang, S. (2015) · IEEE Engineering Management Review · doi:10.1109/emr.2015.7123235 · Cited by 889
Nonparametric Statistical Methods, 2nd, Ed.
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Taking Stock: A Critical Assessment of Recent Research on Inventories
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Cited by
Supply Chain Disruptions: Evidence from the Great East Japan Earthquake
Carvalho, V. M., Nirei, M., Saito, Y. U., & Tahbaz-Salehi, A. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2893221 · Cited by 381
Yadav, P. (2015) · Health Systems & Reform · doi:10.4161/23288604.2014.968005 · Cited by 308
Reducing greenhouse gas emissions through operations and supply chain management
Plambeck, E. L. (2012) · Energy Economics · doi:10.1016/j.eneco.2012.08.031 · Cited by 302
Metadata
- Authors
- Cachon, G. P., Randall, T., & Schmidt, G. M.
- Venue
- Manufacturing & Service Operations Management
- Published
- 2007-10
- Volume
- 9
- Issue
- 4
- Pages
- 457-479
- ISSN
- 1523-4614 (ISSN-L)
- 1526-5498
- OpenAlex
- W2159491823
- Cited by
- 386
- References
- 27
- FWCI
- 19.69
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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