Scheduling and Controlling Production in an Internet of Things Environment for Industry 4.0: An Analysis and Systematic Review of Scientific Metrological Data

Lingye Tan, Tiong Lee Kong, Ziyang Zhang (), Ahmed Sayed M. Metwally, Shubham Sharma (), Kanta Prasad Sharma, Sayed M. Eldin and Dominik Zimon
Additional contact information
Lingye Tan: School of Civil Environment, Nanyang Technological University, Singapore 639798, Singapore
Tiong Lee Kong: School of Civil Environment, Nanyang Technological University, Singapore 639798, Singapore
Ziyang Zhang: School of Civil Environment, Nanyang Technological University, Singapore 639798, Singapore
Ahmed Sayed M. Metwally: Department of Mathematics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
Shubham Sharma: Mechanical Engineering Department, University Centre for Research and Development, Chandigarh University, Mohali 140413, India
Kanta Prasad Sharma: Institute of Engineering & Technology, GLA University, Mathura 281406, India
Sayed M. Eldin: Faculty of Engineering, Centre for Research, Future University in Egypt, New Cairo 11835, Egypt
Dominik Zimon: Department of Management Systems and Logistics, Rzeszow University of Technology, Powstańców Warszawy 10 St, 35-959 Rzeszow, Poland

Sustainability, 2023, vol. 15, issue 9, 1-37

Abstract: 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.

Keywords: CiteSpace; scientometrics; visualization; scheduling; control; manufacturing; job shop; lean construction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:9:p:7600-:d:1140118

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