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How will smart city production systems transform supply chain design: a product-level investigation

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  • Mukesh Kumar
  • Gary Graham
  • Patrick Hennelly
  • Jagjit Srai

Abstract

This paper is a first step to understand the role that a smart city with a distributed production system could have in changing the nature and form of supply chain design. Since the end of the Second World War, most supply chain systems for manufactured products have been based on ‘scale economies’ and ‘bigness’; in our paper we challenge this traditional view. Our fundamental research question is: how could a smart city production system change supply chain design? In answering this question, we develop an integrative framework for understanding the interplay between smart city technological initiatives (big data analytics, the industrial Internet of things) and distributed manufacturing on supply chain design. This framework illustrates synergies between manufacturing and integrative technologies within the smart city context and links with supply chain design. Considering that smart cities are based on the collaboration between firms, end-users and local stakeholders, we advance the present knowledge on production systems through case-study findings at the product level. In the conclusion, we stress there is a need for future research to empirically develop our work further and measure (beyond the product level) the extent to which new production technologies such as distributed manufacturing are indeed democratising supply chain design and transforming manufacturing from ‘global production’ to a future ‘city-oriented’ social materiality.

Suggested Citation

  • Mukesh Kumar & Gary Graham & Patrick Hennelly & Jagjit Srai, 2016. "How will smart city production systems transform supply chain design: a product-level investigation," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 7181-7192, December.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:23:p:7181-7192
    DOI: 10.1080/00207543.2016.1198057
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    Cited by:

    1. Nozari Hamed & Fallah Mohammad & Szmelter-Jarosz Agnieszka & Krzemiński Maciej, 2021. "Analysis of Security Criteria for IoT-Based Supply Chain: A Case Study of FMCG Industries," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 29(4), pages 149-171, December.
    2. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    3. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    4. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    5. Pavitra Dhamija, 2022. "South Africa in the era of Industry 4.0: An Insightful Investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5083-5110, September.
    6. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    7. Parul Gupta & Sumedha Chauhan & M. P. Jaiswal, 2019. "Classification of Smart City Research - a Descriptive Literature Review and Future Research Agenda," Information Systems Frontiers, Springer, vol. 21(3), pages 661-685, June.
    8. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    9. Kumar, Mukesh & Tsolakis, Naoum & Agarwal, Anshul & Srai, Jagjit Singh, 2020. "Developing distributed manufacturing strategies from the perspective of a product-process matrix," International Journal of Production Economics, Elsevier, vol. 219(C), pages 1-17.
    10. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    11. Alaa Amin Abdalla & Yousif Abdelbagi Abdalla & Akarm M. Haddad & Ganga Bhavani & Eman Zabalawi, 2022. "Connections between Big Data and Smart Cities from the Supply Chain Perspective: Understanding the Impact of Big Data," Sustainability, MDPI, vol. 14(23), pages 1-13, December.
    12. Sanjeev Yadav & Sunil Luthra & Dixit Garg, 2022. "Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM," Operations Management Research, Springer, vol. 15(1), pages 1-27, June.
    13. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    14. Marchesani, Filippo & Masciarelli, Francesca & Bikfalvi, Andrea, 2023. "Smart city as a hub for talent and innovative companies: Exploring the (dis) advantages of digital technology implementation in cities," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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