Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data

To review the present scenario of the research on the scheduling and control of the production process in the manufacturing industry, this comprehensive article has extensively examined this field’s hotspots, boundaries, and overall evolutionary trajectory. This paper’s primary goal is to visualize...

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Main Authors: Tan, Lingye, Kong, Tiong Lee, Zhang, Ziyang, Ahmed Sayed M. Metwally, Sharma, Shubham, Sharma, Kanta Prasad, Eldin, Sayed M., Zimon, Dominik
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169504
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1695042023-07-21T15:33:35Z Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data Tan, Lingye Kong, Tiong Lee Zhang, Ziyang Ahmed Sayed M. Metwally Sharma, Shubham Sharma, Kanta Prasad Eldin, Sayed M. Zimon, Dominik School of Civil and Environmental Engineering Engineering::Civil engineering CiteSpace Scientometrics To review the present scenario of the research on the scheduling and control of the production process in the manufacturing industry, this comprehensive article has extensively examined this field’s hotspots, boundaries, and overall evolutionary trajectory. This paper’s primary goal is to visualize and conduct an organized review of 5052 papers and reviews that were published between 2002 and 2022. To reveal the “social, conceptual, and conceptual framework” of the production area, identify key factors and research areas, highlight major specialties and emerging trends, and conduct research, countries, institutions, literature keywords, etc., are all used. Additionally, research methodologies are always being improved. The aim of this work is to explore more references for research implementation by analyzing and classifying the present research status, research hotspots, and potential future trends in this field of research. Published version This work was funded by the Researchers Supporting Project No. (RSP2023R363), King Saud University, Riyadh, Saudi Arabia. 2023-07-21T01:57:54Z 2023-07-21T01:57:54Z 2023 Journal Article Tan, L., Kong, T. L., Zhang, Z., Ahmed Sayed M. Metwally, Sharma, S., Sharma, K. P., Eldin, S. M. & Zimon, D. (2023). Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data. Sustainability, 15(9), 7600-. https://dx.doi.org/10.3390/su15097600 2071-1050 https://hdl.handle.net/10356/169504 10.3390/su15097600 2-s2.0-85159271085 9 15 7600 en Sustainability © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
CiteSpace
Scientometrics
spellingShingle Engineering::Civil engineering
CiteSpace
Scientometrics
Tan, Lingye
Kong, Tiong Lee
Zhang, Ziyang
Ahmed Sayed M. Metwally
Sharma, Shubham
Sharma, Kanta Prasad
Eldin, Sayed M.
Zimon, Dominik
Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
description To review the present scenario of the research on the scheduling and control of the production process in the manufacturing industry, this comprehensive article has extensively examined this field’s hotspots, boundaries, and overall evolutionary trajectory. This paper’s primary goal is to visualize and conduct an organized review of 5052 papers and reviews that were published between 2002 and 2022. To reveal the “social, conceptual, and conceptual framework” of the production area, identify key factors and research areas, highlight major specialties and emerging trends, and conduct research, countries, institutions, literature keywords, etc., are all used. Additionally, research methodologies are always being improved. The aim of this work is to explore more references for research implementation by analyzing and classifying the present research status, research hotspots, and potential future trends in this field of research.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Tan, Lingye
Kong, Tiong Lee
Zhang, Ziyang
Ahmed Sayed M. Metwally
Sharma, Shubham
Sharma, Kanta Prasad
Eldin, Sayed M.
Zimon, Dominik
format Article
author Tan, Lingye
Kong, Tiong Lee
Zhang, Ziyang
Ahmed Sayed M. Metwally
Sharma, Shubham
Sharma, Kanta Prasad
Eldin, Sayed M.
Zimon, Dominik
author_sort Tan, Lingye
title Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
title_short Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
title_full Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
title_fullStr Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
title_full_unstemmed Scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
title_sort scheduling and controlling production in an internet of things environment for industry 4.0: an analysis and systematic review of scientific metrological data
publishDate 2023
url https://hdl.handle.net/10356/169504
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