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Impact of industry 4.0 on supply chain in made to order industries

Author

Listed:
  • Ramakrishnan Raman

    (Symbiosis Institute of Business Management
    Symbiosis International (Deemed University)

  • Pranav Vyas

    (Symbiosis International (Deemed University)

  • Hardik Vachharajani

    (Symbiosis International (Deemed University)

Abstract

This study explores the disruption that Industry 4.0 has on the supply chain of industries and organizations operating in custom-made or made-to-order products and services. While most industries focus on reducing costs via effective processes and employing efficiency-enhancing tools in production, not many organizations focus on the supply chain and its impact on it using Cyber-Physical Systems (CPS) and the use of real-time connection and computation and tools of Industry 4.0 in order to create value across their supply chain ecosystem. To understand this, the authors have used a case study-based design of an Indian made-to-order (custom-made) industrial organization and its logistic partners who together comprise a total supply chain ecosystem. The authors have attempted to find the challenges, opportunities, and recommendations for made-to-order in integrating Industry 4.0 tools into their process.

Suggested Citation

  • Ramakrishnan Raman & Pranav Vyas & Hardik Vachharajani, 2025. "Impact of industry 4.0 on supply chain in made to order industries," Annals of Operations Research, Springer, vol. 348(3), pages 1183-1194, May.
  • Handle: RePEc:spr:annopr:v:348:y:2025:i:3:d:10.1007_s10479-023-05435-x
    DOI: 10.1007/s10479-023-05435-x
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    References listed on IDEAS

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    1. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
    2. Daniel Kiel & Julian M. Müller & Christian Arnold & Kai-Ingo Voigt, 2017. "Sustainable Industrial Value Creation: Benefits And Challenges Of Industry 4.0," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-34, December.
    3. Maciel M. Queiroz & Samuel Fosso Wamba & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes De Sousa Jabbour & Marcio Cardoso Machado, 2022. "Adoption of Industry 4.0 technologies by organizations: a maturity levels perspective," Post-Print hal-04275087, HAL.
    4. Qiu, Xuan & Luo, Hao & Xu, Gangyan & Zhong, Runyang & Huang, George Q., 2015. "Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 159(C), pages 4-15.
    5. Harris, Irina & Wang, Yingli & Wang, Haiyang, 2015. "ICT in multimodal transport and technological trends: Unleashing potential for the future," International Journal of Production Economics, Elsevier, vol. 159(C), pages 88-103.
    6. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    7. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    8. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
    9. Ala-Risku, Timo & Karkkainen, Mikko, 2006. "Material delivery problems in construction projects: A possible solution," International Journal of Production Economics, Elsevier, vol. 104(1), pages 19-29, November.
    10. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
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