The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection
Abstract
Abstract Researchers and practitioners are giving significant attention to Industry 4.0 due to its numerous benefits to manufacturing organizations. Several aspects of Industry 4.0 have been studied in the literature. However, studies on the challenges for implementing Industry 4.0 in manufacturing operations have received less attention. To address this gap, this study identifies a set of challenges (framework) for implementing Industry 4.0 in manufacturing industries. This framework is evaluated in the leather industry of Bangladesh aided by a novel multi-criteria decision-making method named Best-Worst method (BWM). The findings of the study showed that ‘lack of technological infrastructure’ is the most pressing challenge that may hurdle the implementation of Industry 4.0 whereas ‘environmental side-effects’ is the less among the challenges that may hinder implementation of Industry 4.0 in the Bangladeshi leather industry. This result may help decision makers, industrial managers and practitioners in the Bangladeshi leather industry to realize the actual challenges confronting them when attempting to implement Industry 4.0 and focus their attention on how to address these challenges to pave ways for a successful implementation of Industry 4.0.
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
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Best-worst multi-criteria decision-making method
Rezaei, J. (2015) · Omega · doi:10.1016/j.omega.2014.11.009 · Cited by 4,333
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276
Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017) · Engineering · doi:10.1016/j.eng.2017.05.015 · Cited by 2,913
The Internet of Things (IoT): Applications, investments, and challenges for enterprises
Lee, I., & Lee, K. (2015) · Business Horizons · doi:10.1016/j.bushor.2015.03.008 · Cited by 2,803
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965
Opportunities of Sustainable Manufacturing in Industry 4.0
Stock, T., & Seliger, G. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.01.129 · Cited by 1,893
Industry 4.0 and the current status as well as future prospects on logistics
Hofmann, E., & Rüsch, M. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.04.002 · Cited by 1,841
Cited by
Raj, A., Dwivedi, G., Sharma, A., Lopes de Sousa Jabbour, A. B., & Rajak, S. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.107546 · Cited by 1,042
Agyemang, M., Kusi-Sarpong, S., Khan, S. A., Mani, V., Rehman, S. T., & Kusi-Sarpong, H. (2019) · Management Decision · doi:10.1108/md-11-2018-1178 · Cited by 394
Self-citationDrivers and barriers of circular economy business models: where we are now, and where we are heading
Hina, M., Chauhan, C., Kaur, P., Kraus, S., & Dhir, A. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.130049 · Cited by 366
Barriers and overcoming strategies to supply chain sustainability innovation
Gupta, H., Kusi-Sarpong, S., & Rezaei, J. (2020) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2020.104819 · Cited by 304
Self-citationBelhadi, A., Kamble, S., Gunasekaran, A., & Mani, V. (2022) · Supply Chain Management: An International Journal · doi:10.1108/scm-04-2021-0152 · Cited by 259
Metadata
- Authors
- Moktadir, M. A., Ali, S. M., Kusi-Sarpong, S., & Shaikh, M. A. A.
- Venue
- Process Safety and Environmental Protection
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 117
- Pages
- 730-741
- ISSN
- 0263-8762 (ISSN-L)
- 0957-5820
- OpenAlex
- W2808388724
- Cited by
- 422
- References
- 82
- FWCI
- 33.64
- 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: Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. https://app.cochat.ai/papers/10.1016/j.psep.2018.04.020
- The paper
- Moktadir, M. A., Ali, S. M., Kusi-Sarpong, S., & Shaikh, M. A. A. (2018). Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. Process Safety and Environmental Protection. https://doi.org/10.1016/j.psep.2018.04.020
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.
