The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
The impacts of inventory record inaccuracy and cycle counting on distribution center performance
Open accessAbstract
Paper aims The objectives of this paper are: (i) to analyze the impacts of Inventory Record Inaccuracy (IRI) on picking productivity (PP), lost sales (LS), and warehouse capacity utilization (WCU) for different warehouses; (ii) verify if the Cycle Counting (CC) implementation is sufficient to reduce IRI and (iii) the number of CC operators to maintain warehouse performance. Originality A causal loop diagram in detail of the IRI and CC variable's effects in receiving and picking processes is developed. IRI is separated into ghost and hidden inventory to represent the actual effects in WCU, LS, and PP. Research method A dynamic system model is built. Simulations are performed for the five categories of warehouse performance with different numbers of CC operators. Main findings IRI impacts in all warehouses simulated, so managers should monitor IRI besides employee productivity. CC can reduce IRI in all types of warehouses. The number of CC operators to be implemented is different for each warehouse. Implications for theory and practice Several implications for theory and practice are discussed. For example, IRI impacts more ADV and BIC warehouses without CC implementation. In TYP, ADV, and BIC warehouses CC is sufficient to reduce IRI. In MO and DIS warehouses, other improvements are needed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2000) · University of Maribor digital library (University of Maribor) · Cited by 9,354
A literature review on the impact of RFID technologies on supply chain management
Sarac, A., Absi, N., & Dauzère‐Pérès, S. (2010) · International Journal of Production Economics · doi:10.1016/j.ijpe.2010.07.039 · Cited by 592
Inventory Record Inaccuracy: An Empirical Analysis
DeHoratius, N., & Raman, A. (2008) · Management Science · doi:10.1287/mnsc.1070.0789 · Cited by 437
Tako, A. A., & Robinson, S. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.11.015 · Cited by 427
Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain
Fleisch, E., & Tellkamp, C. (2004) · International Journal of Production Economics · doi:10.1016/j.ijpe.2004.02.003 · Cited by 396
Execution: The Missing Link in Retail Operations
Raman, A., DeHoratius, N., & Ton, Z. (2001) · California Management Review · doi:10.2307/41166093 · Cited by 340
Information inaccuracy in inventory systems: stock loss and stockout
Kang, Y. K., & Gershwin, S. B. (2005) · IIE Transactions · doi:10.1080/07408170590969861 · Cited by 315
Inventory Record Inaccuracy, Double Marginalization, and RFID Adoption
Heese, H. S. (2007) · Production and Operations Management · doi:10.1111/j.1937-5956.2007.tb00279.x · Cited by 248
Introduction to materials management
Beekman-Love, G. K., & Nieger, L. (1978) · Springer eBooks · doi:10.1007/978-1-4613-4078-2_1 · Cited by 221
Warehouse performance measurement: a literature review
Staudt, F. H., Alpan, G., Mascolo, M. D., & Rodriguez, C. M. T. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1030466 · Cited by 199
Self-citationInspection and Replenishment Policies for Systems with Inventory Record Inaccuracy
Kök, A. G., & Shang, K. (2007) · Manufacturing & Service Operations Management · doi:10.1287/msom.1060.0136 · Cited by 187
Inventory record inaccuracy and store-level performance
Shabani, A., Maróti, G., de Leeuw, S., & Dullaert, W. E. H. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108111 · Cited by 71
Inventory record inaccuracy: Causes and labor effects
Chuang, H. H., & Oliva, R. (2015) · Journal of Operations Management · doi:10.1016/j.jom.2015.07.006 · Cited by 67
Using System Dynamics to assess the impact of RFID technology on retail operations
Marco, A. D., Cagliano, A. C., Nervo, M. L., et al. (2011) · International Journal of Production Economics · doi:10.1016/j.ijpe.2011.08.009 · Cited by 66
Measuring the impact of inaccurate inventory information on a retail outlet
Waller, M. A., Nachtmann, H., & Hunter, J. L. (2006) · The International Journal of Logistics Management · doi:10.1108/09574090610717527 · Cited by 49
Barratt, M., Kull, T. J., & Sodero, A. C. (2018) · Journal of Operations Management · doi:10.1016/j.jom.2018.09.003 · Cited by 47
Measuring the effects of inventory inaccuracy in MRP inventory and delivery performance
Brown, K. L., Inman, R. A., & Calloway, J. A. (2001) · Production Planning & Control · doi:10.1080/09537280150203979 · Cited by 41
Impact of inventory inaccuracies on products with inventory-dependent demand
Wang, F., Fang, X., Chen, X., & Li, X. (2016) · International Journal of Production Economics · doi:10.1016/j.ijpe.2016.04.019 · Cited by 37
In Control or under Control? Human-Robot Collaboration in Warehouse Order PickingPreprint
Pasparakis, A., de Vries, J., & de Koster, R. B. M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3816533 · Cited by 36
An assessment model for RFID impacts on prevention and visibility of inventory inaccuracy presence
Qin, W., Zhong, R. Y., Dai, H., et al. (2017) · Advanced Engineering Informatics · doi:10.1016/j.aei.2017.09.006 · Cited by 32
Rekik, Y., & Şahin, E. (2012) · International Journal of Production Research · doi:10.1080/00207543.2012.670919 · Cited by 30
Dynamic Human-Robot Collaborative Picking StrategiesPreprint
Azadeh, K., Roy, D., & de Koster, R. B. M. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3585396 · Cited by 30
Quantifying the costs of cycle counting in a two-echelon supply chain with multiple items
Gumrukcu, S., Rossetti, M. D., & Buyurgan, N. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2008.09.006 · Cited by 29
Development of a system dynamics model based on Six Sigma methodology
Ortega, J. J. C., Serrato, R. B., & Lizarraga-Morales, R. A. (2017) · Ingeniería e Investigación · doi:10.15446/ing.investig.v37n1.62270 · Cited by 22
Effectiveness of information systems in supply chain performance: a system dynamics study
Agarwal, A., Shankar, R., & Mandal, P. (2006) · International Journal of Information Systems and Change Management · doi:10.1504/ijiscm.2006.011198 · Cited by 21
Retail inventory shrinkage, sensing weak security breach signals, and organizational structure
Su, H., Rungtusanatham, M. J., & Linderman, K. (2021) · Decision Sciences · doi:10.1111/deci.12524 · Cited by 19
Hofstra, N., Spiliotopoulou, E., & de Leeuw, S. (2022) · Decision Sciences · doi:10.1111/deci.12564 · Cited by 19
Modeling (and Learning from) Inventory Inaccuracies in E‐retailing/B2B contexts
Rekik, Y., Syntetos, A. A., & Glock, C. H. (2019) · Decision Sciences · doi:10.1111/deci.12367 · Cited by 18
On the causes of positive inventory discrepancies in retail stores
Best, J., Glock, C. H., Grosse, E. H., et al. (2022) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-07-2021-0291 · Cited by 10
Supply Chain Coordination under Inventory Inaccuracy with RFID Technology
Lei, Q., Zhang⋆, Y., & Zhou, L. (2018) · Mathematical Problems in Engineering · doi:10.1155/2018/4686531 · Cited by 5
Hachem, W. E., Harik, R., & Khoury, J. (2016) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-54660-5_57 · Cited by 4
Different Types of Inventory Control in Brazilian Companies
Drohomeretski, E., & Favaretto, F. (2013) · International Journal of Industrial Engineering and Management · doi:10.24867/ijiem-2013-3-117 · Cited by 2
A qualitative and quantitative analysis of the impact of the Auto ID technology on supply chainsPreprint
Şahin, E. (2004) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 1
Flagged first, then by citations
Research works printed but not linked: 1
- Rajasekar D., 2020, Annual physical inventory stock taking lead time reduction a case study, International Journal of Management IT & Engineering, 10, 70
Metadata
- Authors
- Destro, I. R., Staudt, F. H., Somensi, K., & Taboada, C.
- Affiliations
- Universidade Federal de Santa Catarina (BR)
- Universidade Federal de Santa Catarina, Brasil
- Venue
- Production
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2023
- Volume
- 33
- ISSN
- 0103-6513 (ISSN-L)
- 1980-5411
- OpenAlex
- W4365804136
- Cited by
- 11
- References
- 33
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 1
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Production (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
- Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Business Logistics and Inventory Control
- Keywords
- cycle counting, lost sales, warehouse performance, dynamic system model, causal loop diagrams
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review