The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Inventory Record Inaccuracy: An Empirical Analysis
Abstract
Traditional inventory models, with a few exceptions, do not account for the existence of inventory record inaccuracy (IRI), and those that do treat IRI as random. This study explores IRI observed both within and across product categories and retail stores. Examining nearly 370,000 inventory records from 37 stores of one retailer, we find 65% to be inaccurate. We characterize the distribution of IRI and show, using hierarchical linear modeling (HLM), that 26.4% of the total variance in IRI lies between product categories and that 2.7% lies between stores. We identify several factors that mitigate record inaccuracy, such as inventory auditing practices, and several factors that exacerbate record inaccuracy, such as the complexity of the store environment and the distribution structure. Collectively, these covariates explain 67.6% and 69.0% of the variance in IRI across stores and product categories, respectively. Our findings underscore the need to design processes to reduce the occurrence of IRI and highlight factors that can be incorporated into inventory planning tools developed to account for its presence.
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Cited by
Supply chain forecasting: Theory, practice, their gap and the future
Syntetos, A. A., Babai, Z., Boylan, J. E., Kolassa, S., & Nikolopoulos, K. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.11.010 · Cited by 328
Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity
Pierce, L., Snow, D. C., & McAfee, A. (2015) · Management Science · doi:10.1287/mnsc.2014.2103 · Cited by 251
Structural Estimation of the Effect of Out-of-Stocks
Musalem, A., Olivares, M., Bradlow, E. T., Terwiesch, C., & Corsten, D. (2010) · Management Science · doi:10.1287/mnsc.1100.1170 · Cited by 196
Retail Inventory Management When Records Are Inaccurate
DeHoratius, N., Mersereau, A. J., & Schrage, L. (2008) · Manufacturing & Service Operations Management · doi:10.1287/msom.1070.0203 · Cited by 174
Self-citationBarratt, M., Kull, T. J., & Sodero, A. C. (2018) · Journal of Operations Management · doi:10.1016/j.jom.2018.09.003 · Cited by 47
Metadata
- Authors
- DeHoratius, N., & Raman, A.
- Venue
- Management Science
- Published
- 2008-04
- Volume
- 54
- Issue
- 4
- Pages
- 627-641
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2139127542
- Cited by
- 432
- References
- 92
- FWCI
- 49.59
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
