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Application of Industry 4.0 in the Procurement Processes of Supply Chains: A Systematic Literature Review

Author

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  • Niloofar Jahani

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran 13114-16846, Iran)

  • Arash Sepehri

    (School of Industrial Engineering, Iran University of Science and Technology, Tehran 13114-16846, Iran)

  • Hadi Rezaei Vandchali

    (Department of Maritime and Logistics Management, University of Tasmania, Launceston, TAS 7005, Australia)

  • Erfan Babaee Tirkolaee

    (Department of Industrial Engineering, Istinye University, Istanbul 34010, Turkey)

Abstract

The fourth industrial revolution has significantly changed the traditional way of managing supply chains. The applications of Industry 4.0 (I4.0) technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) in different processes of supply chains have assisted companies to improve their performance. Procurement can be considered a critical process in supply chain management since it can provide novel opportunities for supply chains to improve their efficiency and effectiveness. However, I4.0 applications can be costly and may not be reasonably affordable. Therefore, the benefits of implementing these technologies should be clarified for procurement managers before investing in the digitalization of the procurement process. Despite the importance of this issue, few papers have attempted to address the effects of I4.0 technologies and smart systems in procurement. To fill this gap, a Systematic Literature Review (SLR) on the applications of I4.0 technologies in procurement has been used in this study. By reviewing 70 papers through appropriate keywords, a conceptual framework is developed to classify different value propositions provided by the different applications of I4.0 technologies in procurement processes. Results reveal nine value propositions that can provide a better understanding for the procurement department to analyze the benefits of implementing the related I4.0 technologies in different activities. Finally, findings and future study opportunities are concluded.

Suggested Citation

  • Niloofar Jahani & Arash Sepehri & Hadi Rezaei Vandchali & Erfan Babaee Tirkolaee, 2021. "Application of Industry 4.0 in the Procurement Processes of Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7520-:d:589122
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    as
    1. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    2. Attari, Mahdi Yousefi Nejad & Torkayesh, Ali Ebadi, 2018. "Developing benders decomposition algorithm for a green supply chain network of mine industry: Case of Iranian mine industry," Operations Research Perspectives, Elsevier, vol. 5(C), pages 371-382.
    3. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    4. Lamba, Kuldeep & Singh, Surya Prakash, 2019. "Dynamic supplier selection and lot-sizing problem considering carbon emissions in a big data environment," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 573-584.
    5. Daniel DiMase & Zachary A. Collier & Kenneth Heffner & Igor Linkov, 2015. "Systems engineering framework for cyber physical security and resilience," Environment Systems and Decisions, Springer, vol. 35(2), pages 291-300, June.
    6. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    7. Walker, Helen & Brammer, Stephen, 2012. "The relationship between sustainable procurement and e-procurement in the public sector," International Journal of Production Economics, Elsevier, vol. 140(1), pages 256-268.
    8. Yong Geng & Joseph Sarkis & Raimund Bleischwitz, 2019. "How to globalize the circular economy," Nature, Nature, vol. 565(7738), pages 153-155, January.
    9. Paul, Justin & Criado, Alex Rialp, 2020. "The art of writing literature review: What do we know and what do we need to know?," International Business Review, Elsevier, vol. 29(4).
    10. YU, Jie & Subramanian, Nachiappan & Ning, Kun & Edwards, David, 2015. "Product delivery service provider selection and customer satisfaction in the era of internet of things: A Chinese e-retailers’ perspective," International Journal of Production Economics, Elsevier, vol. 159(C), pages 104-116.
    11. Xi, Nannan & Hamari, Juho, 2021. "Shopping in virtual reality: A literature review and future agenda," Journal of Business Research, Elsevier, vol. 134(C), pages 37-58.
    12. F. Tao & Y. Cheng & L. Zhang & A. Y. C. Nee, 2017. "Advanced manufacturing systems: socialization characteristics and trends," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1079-1094, June.
    13. Li, Yinan & Yang, Wentao & He, Ping & Chen, Chang & Wang, Xiaonan, 2019. "Design and management of a distributed hybrid energy system through smart contract and blockchain," Applied Energy, Elsevier, vol. 248(C), pages 390-405.
    14. Judit Nagy & Judit Oláh & Edina Erdei & Domicián Máté & József Popp, 2018. "The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain—The Case of Hungary," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    15. Amir Mehdiabadi & Mariyeh Tabatabeinasab & Cristi Spulbar & Amir Karbassi Yazdi & Ramona Birau, 2020. "Are We Ready for the Challenge of Banks 4.0? Designing a Roadmap for Banking Systems in Industry 4.0," IJFS, MDPI, vol. 8(2), pages 1-29, May.
    16. Gurupada Maity & Sankar Kumar Roy & Jose Luis Verdegay, 2019. "Time Variant Multi-Objective Interval-Valued Transportation Problem in Sustainable Development," Sustainability, MDPI, vol. 11(21), pages 1-15, November.
    17. Chang, Shuchih Ernest & Chen, Yi-Chian & Lu, Ming-Fang, 2019. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 1-11.
    18. Youngseok Choi & Habin Lee & Zahir Irani, 2018. "Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector," Annals of Operations Research, Springer, vol. 270(1), pages 75-104, November.
    19. Kaur, Harpreet & Prakash Singh, Surya, 2021. "Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies," International Journal of Production Economics, Elsevier, vol. 231(C).
    20. Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), 2017. "Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 23, number 23.
    21. 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.
    22. Marko Mladineo & Ivica Veza & Nikola Gjeldum, 2017. "Solving partner selection problem in cyber-physical production networks using the HUMANT algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2506-2521, May.
    23. Gaafar, Lotfi K. & Choueiki, M. Hisham, 2000. "A neural network model for solving the lot-sizing problem," Omega, Elsevier, vol. 28(2), pages 175-184, April.
    24. Muñoz-Garcia, Cristina & Vila, Jose, 2019. "Value creation in the international public procurement market: In search of springbok firms," Journal of Business Research, Elsevier, vol. 101(C), pages 516-521.
    25. Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "Tactical supply chain planning models with inherent flexibility: definition and review," Annals of Operations Research, Springer, vol. 244(2), pages 407-427, September.
    26. Ana Beatriz Lopes de Sousa Jabbour & Charbel Jose Chiappetta Jabbour & Joseph Sarkis & Angappa Gunasekaran & Marcelo Wilson Furlan Matos Alves & Daniela Andriani Ribeiro, 2019. "Decarbonisation of operations management – looking back, moving forward: a review and implications for the production research community," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4743-4765, August.
    27. Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "A tactical supply chain planning model with multiple flexibility options: an empirical evaluation," Annals of Operations Research, Springer, vol. 244(2), pages 429-454, September.
    28. Ciulla, G. & D'Amico, A. & Lo Brano, V. & Traverso, M., 2019. "Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level," Energy, Elsevier, vol. 176(C), pages 380-391.
    29. Souza, Gilvan C., 2014. "Supply chain analytics," Business Horizons, Elsevier, vol. 57(5), pages 595-605.
    30. Fernandez de Arroyabe, J.C. & Arranz, N. & Schumann, M. & Arroyabe, M.F., 2021. "The development of CE business models in firms: The role of circular economy capabilities," Technovation, Elsevier, vol. 106(C).
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    Cited by:

    1. Ecaterina Milica Dobrotă & Roxana Sârbu & Silvius Stanciu, 2022. "The Influencing Factors of Smes Participation in Public Procurement," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 61-69, September.
    2. Erfan Babaee Tirkolaee & Alireza Goli & Hêriş Golpîra & Ernesto D. R. Santibañez Gonzalez, 2023. "Sustainable Global Supply Chain Management from an International Perspective," Sustainability, MDPI, vol. 15(16), pages 1-2, August.
    3. Ardavan Babaei & Majid Khedmati & Mohammad Reza Akbari Jokar & Erfan Babaee Tirkolaee, 2022. "Performance Evaluation of Omni-Channel Distribution Network Configurations considering Green and Transparent Criteria under Uncertainty," Sustainability, MDPI, vol. 14(19), pages 1-15, October.
    4. Jan Rymarczyk, 2022. "Transformation of Transnational Corporations’ Supply Chains as a Result of the Fourth Industrial Revolution and the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    5. Johannes Hangl & Viktoria Joy Behrens & Simon Krause, 2022. "Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study," Logistics, MDPI, vol. 6(3), pages 1-22, September.

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