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

Author

Listed:
  • 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
    School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • 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)

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.

Suggested Citation

  • Lingye Tan & Tiong Lee Kong & Ziyang Zhang & Ahmed Sayed M. Metwally & Shubham Sharma & Kanta Prasad Sharma & Sayed M. Eldin & Dominik Zimon, 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, MDPI, vol. 15(9), pages 1-37, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7600-:d:1140118
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    References listed on IDEAS

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    Cited by:

    1. Giuseppe Piras & Sofia Agostinelli & Francesco Muzi, 2024. "Digital Twin Framework for Built Environment: A Review of Key Enablers," Energies, MDPI, vol. 17(2), pages 1-27, January.
    2. Eirini Stavropoulou & Konstantinos Spinthiropoulos & Konstantina Ragazou & Christos Papademetriou & Ioannis Passas, 2023. "Green Balanced Scorecard: A Tool of Sustainable Information Systems for an Energy Efficient Business," Energies, MDPI, vol. 16(18), pages 1-18, September.

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