The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
RETRACTED: Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems
Abstract
Abstract The traditional supply chains faces several challenges such as uncertainty, cost, complexity and vulnerable problems. To overcome these problems the supply chains must be more smarter. For establishing a large-scale of smart infrastructure to merge data, information, products, physical objects and all processes of supply chain, we applies the internet of things (IOT) in supply chain management (SCM) through building a smart and secure system of SCM. We have prepared a website for suppliers and managers. We tracked the flow of products at each stage in supply chain management through the Radio Frequency Identification (RFID) technology. Each product attached with RFID tag and scanned through RFID reader and ESP8266 at each phase of supply chain management. After scanning the tag we stores tag id in the database. All information about products will be entered by suppliers and then uploaded to managers. In our system the supplier and manager gets perfect information of the entire life cycle of goods, and this will achieve transparency of supply chain management. For assessing security criteria of proposed system of supply chain management, we also proposed a framework which integrates neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL) technique with analytic hierarchy process (AHP). The neutrosophic Decision Making Trial and Evaluation Laboratory (N-DEMATEL) technique is utilized to infer cause and effect interrelationships among criteria of smart supply chain security requirements. Depending on obtained information from (N-DEMATEL) the neutrosophic AHP is utilized to calculate weight of criteria and sub-criteria. Then the integrated framework will help researchers and practitioners to design secure system of supply chains. We presented DEMATEL and AHP in neutrosophic environment to deal effectively with vague, uncertain and incomplete information. So the proposed system of supply chain management will be able to overcome all challenges of traditional SCM and provide secure environment of SCM processes.
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
Fang, C., Liu, X., Pardalos, P. M., & Pei, J. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-015-7593-1 · Cited by 102
Cited by
Núñez-Merino, M., Maqueira-Marín, J. M., Moyano-Fuentes, J., & Martínez-Jurado, P. J. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1743896 · Cited by 382
Industry 4.0 in the port and maritime industry: A literature review
de la Peña Zarzuelo, I., Freire Soeane, M. J., & López Bermúdez, B. (2020) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2020.100173 · Cited by 269
IoMT malware detection approaches: analysis and research challenges
Wazid, M., Das, A. K., Rodrigues, J. J. P. C., Shetty, S., & Park, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2960412 · Cited by 200
Supply Chain 4.0: A Survey of Cyber Security Challenges, Solutions and Future Directions
Sobb, T., Turnbull, B., & Moustafa, N. (2020) · Electronics · doi:10.3390/electronics9111864 · Cited by 189
Zhang, S., Li, X., Tan, Z., Peng, T., & Wang, G. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.10.053 · Cited by 163
Metadata
- Authors
- Abdel-Basset, M., Manogaran, G., & Mohamed, M.
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 86
- Pages
- 614-628
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2802538926
- Cited by
- 427
- References
- 1
- FWCI
- 83.16
- Type
- journal article
- Language
- en
- Status
- Retracted
- 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: RETRACTED: Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. https://app.cochat.ai/papers/10.1016/j.future.2018.04.051
- The paper
- Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). RETRACTED: Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.04.051
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.