The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Internet of Things for Enterprise Systems of Modern Manufacturing
Abstract
Design and operation of a manufacturing enterprise involve numerous types of decision-making at various levels and domains. A complex system has a large number of design variables and decision-making requires real-time data collected from machines, processes, and business environments. Enterprise systems (ESs) are used to support data acquisition, communication, and all decision-making activities. Therefore, information technology (IT) infrastructure for data acquisition and sharing affects the performance of an ES greatly. Our objective is to investigate the impact of emerging Internet of Things (IoT) on ESs in modern manufacturing. To achieve this objective, the evolution of manufacturing system paradigms is discussed to identify the requirements of decision support systems in dynamic and distributed environments; recent advances in IT are overviewed and associated with next-generation manufacturing paradigms; and the relation of IT infrastructure and ESs is explored to identify the technological gaps in adopting IoT as an IT infrastructure of ESs. The future research directions in this area are discussed.
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
An overview of the Internet of Things for people with disabilities
Domingo, M. C. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2011.10.015 · Cited by 638
Cited by
Internet of things and supply chain management: A literature review
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019) · International Journal of Production Research · doi:10.1080/00207543.2017.1402140 · Cited by 1,501
Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things
Li, Z., Kang, J., Yu, R., Ye, D., Deng, Q., & Zhang, Y. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2786307 · Cited by 1,103
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
Xu, H., Yu, W., Griffith, D., & Golmie, N. (2018) · IEEE Access · doi:10.1109/access.2018.2884906 · Cited by 637
IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing
Tao, F., Zuo, Y., Xu, L. D., & Zhang, L. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306397 · Cited by 587
Self-citationDeep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing
Li, L., Ota, K., & Dong, M. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2842821 · Cited by 466
Brous, P., Janssen, M., & Herder, P. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.008 · Cited by 348
Using the internet of things in smart energy systems and networks
Ahmad, T., & Zhang, D. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102783 · Cited by 332
An energy-efficient architecture for the Internet of Things (IoT)
Kaur, N., & Sood, S. K. (2017) · IEEE Systems Journal · doi:10.1109/jsyst.2015.2469676 · Cited by 282
The Internet of Things: a security point of view
Li, S., Tryfonas, T., & Li, H. (2016) · Internet Research · doi:10.1108/intr-07-2014-0173 · Cited by 263
Fault Tree Analysis Improvements: A Bibliometric Analysis and Literature Review
Yazdi, M., Mohammadpour, J., Li, H., Huang, H., Zarei, E., Pirbalouti, R. G., & Adumene, S. (2023) · Quality and Reliability Engineering International · doi:10.1002/qre.3271 · Cited by 199
A Blockchain-Based Secure Image Encryption Scheme for the Industrial Internet of Things
Khan, P. W., & Byun, Y. (2020) · Entropy · doi:10.3390/e22020175 · Cited by 137
A Microservice-based Middleware for the Digital Factory
Ciavotta, M., Alge, M., Menato, S., Rovere, D., & Pedrazzoli, P. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.07.197 · Cited by 94
Wu, Z., Meng, Z., & Gray, J. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2704613 · Cited by 40
Metadata
- Authors
- Bi, Z., Xu, L. D., & Wang, C.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2014-05
- Volume
- 10
- Issue
- 2
- Pages
- 1537-1546
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2139531852
- Cited by
- 672
- References
- 1
- FWCI
- 124.36
- 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
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.
