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Towards the Development of Digital Manufacturing Ecosystems for Sustainable Performance: Learning from the Past Two Decades of Research

Author

Listed:
  • Abdulrazak F. Shahatha Al-Mashhadani

    (Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia)

  • Muhammad Imran Qureshi

    (Faculty of Technology Management and Technopreneurship, Universiti Teknikal Malaysia Melaka, Durian Tunggal 76100, Melaka, Malaysia)

  • Sanil S. Hishan

    (Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia)

  • Mohd Shamsuri Md Saad

    (Institute of Technology Management and Entrepreneurship, Universiti Teknikal Malaysia Melaka, Durian Tunggal 76100, Melaka, Malaysia)

  • Yamunah Vaicondam

    (Faculty of Business, Accountancy, Communication and Hospitality Management, SEGi University, Kota Damansara, Petaling Jaya 47810, Selangor, Malaysia)

  • Nohman Khan

    (UniKL Business School, Universiti Kuala Lumpur, Kuala Lumpur 50300, Malaysia)

Abstract

Although the Internet of Things (IoT), advanced manufacturing technologies, and cloud manufacturing contribute to developing a digital manufacturing ecosystem that enhances energy efficiency and resource utilization, manufacturing processes are vulnerable to timely production and delivery. The digital manufacturing systems in Industrial Revolution 4.0 (IR 4.0) minimized the human-technology interactions to foster productivity and material flow. However, there is scarce research to gauge the efficiency of these digital technologies in the entire manufacturing process; also, little is known about the collaborative efforts among countries to achieve sustainable manufacturing performance through the digitalization of the production process. Thus, this systematic review aimed to highlight the effectiveness of the digital manufacturing systems for sustainable product development and the collaborative research on the subject. We selected 52 research articles for this review by following the 2015 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) statement. The literature classifications were developed using text frequency algorithms in VOSviewer (Centre for Science and Technology Studies, Leiden University, The Netherlands) Results exposed literature from 2005 to 2020 can be categorized into four major research streams: digital transformation, digital manufacturing ecosystem, performance management, and sustainability. The study’s findings revealed that the manufacturing processes are moving towards the IoT, digital devices, and smart factories that are entirely dependent on digital technologies. The digital manufacturing ecosystem is dependent on the availability of digital technologies to all stakeholders. The study concluded that digital technologies are improving manufacturing efficiency and process effectiveness. However, this requires infrastructure that primarily available in developed countries; thus, the digital transformation in underdeveloped regions is deliberate and requires more collaborative research.

Suggested Citation

  • Abdulrazak F. Shahatha Al-Mashhadani & Muhammad Imran Qureshi & Sanil S. Hishan & Mohd Shamsuri Md Saad & Yamunah Vaicondam & Nohman Khan, 2021. "Towards the Development of Digital Manufacturing Ecosystems for Sustainable Performance: Learning from the Past Two Decades of Research," Energies, MDPI, vol. 14(10), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2945-:d:557971
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    References listed on IDEAS

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    2. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
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    Cited by:

    1. Shi Yin & Yudan Zhao, 2024. "Digital green value co-creation behavior, digital green network embedding and digital green innovation performance: moderating effects of digital green network fragmentation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    2. Konstantinos Salonitis, 2023. "Manufacturing Energy Efficiency and Industry 4.0," Energies, MDPI, vol. 16(5), pages 1-4, February.
    3. Andrey S. Vaulin, 2023. "Economic effect from digital integration: The case of a mechanical engineering enterprise," Journal of New Economy, Ural State University of Economics, vol. 24(3), pages 136-154, October.
    4. Zhen Liu & Tzuhui Wu & Fenghong Wang & Mohamed Osmani & Peter Demian, 2022. "Blockchain Enhanced Construction Waste Information Management: A Conceptual Framework," Sustainability, MDPI, vol. 14(19), pages 1-35, September.
    5. Dharm Dev Bhatta & Muddassar Sarfraz & Larisa Ivascu & Marius Pislaru, 2023. "The Nexus of Corporate Affinity for Technology and Firm Sustainable Performance in the Era of Digitalization: A Mediated Model," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

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