The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Impact of Automatic Identification on Supply Chain Operations
Abstract
Abstract Automated Identification (Auto ID) applications can provide corporate information systems with the identity of each physical item in the supply chain in an automated and timely manner. The real time availability of item identity allows other information, related to the item, to be drawn on in order to assess both the current state of the product and future actions required. In the context of supply chain operations, widespread introduction of such systems represents a major opportunity to overhaul and improve tracking and tracing systems, process control and inventory management. In the longer term, it is possible that Auto ID systems may enable a complete re‐engineering of the supply chain, by removing a number of the constraints that limit today's supply chain structures. In this paper, we review some key challenges in supply chain operations and introduce the main elements of an Auto ID system. Using a simple categorization of supply chain operations, areas for short term deployment of Auto ID are identified and opportunities for longer term re‐engineering of different sections of the supply chain are highlighted.
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
Supply Chain Management: Strategy, Planning and Operations
Chopra, S., & Meindl, P. J. (2000) · Cited by 2,594
Designing and managing the supply chain : concepts, strategies, and case studies
Simchi‐Levi, D., Kaminsky, P., & Simchi‐Levi, E. (2000) · Cited by 2,204
Designing and Managing the Supply Chain
Simchi‐Levi, D. (2002) · Cited by 1,780
Logistics and Supply Chain Management: Strategies for Reducing Costs and Improving Services.
Salhi, S., & Christopher, M. (1994) · The Journal of the Operational Research Society · doi:10.2307/2583864 · Cited by 1,662
Shapiro, J. F. (2007) · Cited by 497
Information technology and product lifecycle management
Thomas, V. M., Neckel, W., & Wagner, S. (2003) · IEEE International Symposium on Electronics and the Environment (ISEE) · doi:10.1109/isee.1999.765848 · Cited by 32
Cited by
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Intelligent food packaging: the next generation
Vanderroost, M., Ragaert, P., Devlieghere, F., & De Meulenaer, B. (2014) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2014.06.009 · Cited by 668
RFID for Better Supply‐Chain Management through Enhanced Information Visibility
Delen, D., Hardgrave, B. C., & Sharda, R. (2007) · Production and Operations Management · doi:10.1111/j.1937-5956.2007.tb00284.x · Cited by 351
The role of smart packaging system in food supply chain
Chen, S., Brahma, S., Mackay, J., Cao, C., & Aliakbarian, B. (2020) · Journal of Food Science · doi:10.1111/1750-3841.15046 · Cited by 348
Integrating the Supply Chain … 25 years on
Stevens, G. C., & Johnson, M. (2016) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-07-2015-0175 · Cited by 328
Metadata
- Authors
- McFarlane, D., & Sheffi, Y.
- Venue
- The International Journal of Logistics Management
- Publisher
- Emerald
- Published
- 2003-01
- Volume
- 14
- Issue
- 1
- Pages
- 1-17
- ISSN
- 0957-4093 (ISSN-L)
- OpenAlex
- W1992599888
- Cited by
- 329
- References
- 6
- FWCI
- 25.11
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Impact of Automatic Identification on Supply Chain Operations. https://app.cochat.ai/papers/10.1108/09574090310806503
- The paper
- McFarlane, D., & Sheffi, Y. (2003). The Impact of Automatic Identification on Supply Chain Operations. The International Journal of Logistics Management. https://doi.org/10.1108/09574090310806503
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
