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Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence

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  • Govindan, Kannan
  • Kannan, Devika
  • Jørgensen, Thomas Ballegård
  • Nielsen, Tim Straarup

Abstract

Companies require a greater understanding of the Supply Chain (SC) benefits that can be gained from industry 4.0 (I4.0) and, more specifically, which technologies and concepts that can improve certain SC performance measures. A state-of-the-art systematic literature review (SLR) has been done on supply chain performance measurement linked with various industry 4.0 technologies. Based on the findings of the review through content analysis, this paper presents a framework for exploring the usage of I4.0 technologies to identify the potential supply chain performance measures. This framework includes the dimensions of Procurement 4.0, Manufacturing 4.0, Logistics 4.0, and Warehousing 4.0. As a scientific contribution, this study has validated the proposed framework through case studies, where the existing studies are limited. Finally, several fruitful future possible extensions have been discussed based on the proposed framework.

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  • Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:transe:v:164:y:2022:i:c:s1366554522001168
    DOI: 10.1016/j.tre.2022.102725
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    1. Lebas, Michel J., 1995. "Performance measurement and performance management," International Journal of Production Economics, Elsevier, vol. 41(1-3), pages 23-35, October.
    2. Schlüter, Florian & Hetterscheid, Endric, 2017. "Supply chain process oriented technology-framework for industry 4.0," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 275-299, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    3. Schniederjans, Dara G. & Curado, Carla & Khalajhedayati, Mehrnaz, 2020. "Supply chain digitisation trends: An integration of knowledge management," International Journal of Production Economics, Elsevier, vol. 220(C).
    4. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    5. Ustundag, Alp & Tanyas, Mehmet, 2009. "The impacts of Radio Frequency Identification (RFID) technology on supply chain costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 29-38, January.
    6. Lim, Chun Hsion & Lim, Steven & How, Bing Shen & Ng, Wendy Pei Qin & Ngan, Sue Lin & Leong, Wei Dong & Lam, Hon Loong, 2021. "A review of industry 4.0 revolution potential in a sustainable and renewable palm oil industry: HAZOP approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Zheng, Ting & Ardolino, Marco & Bacchetti, Andrea & Perona, Marco, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 129469, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Pfohl, Hans-Christian & Yahsi, Burak & Kurnaz, Tamer, 2015. "The Impact of Industry 4.0 on the Supply Chain," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 31-58, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Mohsen Moghaddam & Shimon Y. Nof, 2018. "Collaborative service-component integration in cloud manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 677-691, January.
    10. Marc Goetschalckx, 2011. "Supply Chain Engineering," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6512-7, September.
    11. Mahroof, Kamran, 2019. "A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse," International Journal of Information Management, Elsevier, vol. 45(C), pages 176-190.
    12. Sachin S. Kamble & Angappa Gunasekaran, 2020. "Big data-driven supply chain performance measurement system: a review and framework for implementation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 65-86, January.
    13. Abderahman Rejeb & John G. Keogh & Samuel Fosso Wamba & Horst Treiblmaier, 2021. "The potentials of augmented reality in supply chain management: a state-of-the-art review," Management Review Quarterly, Springer, vol. 71(4), pages 819-856, October.
    14. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
    15. Paula Morella & María Pilar Lambán & Jesús Royo & Juan Carlos Sánchez & Lisbeth del Carmen Ng Corrales, 2020. "Development of a New Green Indicator and Its Implementation in a Cyber–Physical System for a Green Supply Chain," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    16. Biswal, Arun Kumar & Jenamani, Mamata & Kumar, Sri Krishna, 2018. "Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 205-224.
    17. Pfohl, Hans-Christian & Yahsi, Burak & Kurnaz, Tamer, 2015. "The Impact of Industry 4.0 on the Supply Chain," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75444, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    18. Ionica Oncioiu & Ovidiu Constantin Bunget & Mirela Cătălina Türkeș & Sorinel Căpușneanu & Dan Ioan Topor & Attila Szora Tamaș & Ileana-Sorina Rakoș & Mihaela Ștefan Hint, 2019. "The Impact of Big Data Analytics on Company Performance in Supply Chain Management," Sustainability, MDPI, vol. 11(18), pages 1-22, September.
    19. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    20. Beata Mrugalska & Junaid Ahmed, 2021. "Organizational Agility in Industry 4.0: A Systematic Literature Review," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    21. Dev, Navin K. & Shankar, Ravi & Swami, Sanjeev, 2020. "Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system," International Journal of Production Economics, Elsevier, vol. 223(C).
    22. Guo, Shu & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Self-design fun: Should 3D printing be employed in mass customization operations?," European Journal of Operational Research, Elsevier, vol. 299(3), pages 883-897.
    23. Christoph Müller & Martin Grunewald & Thomas S. Spengler, 2017. "Redundant configuration of automated flow lines based on “Industry 4.0”-technologies," Journal of Business Economics, Springer, vol. 87(7), pages 877-898, October.
    24. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    25. Yavas, Volkan & Ozkan-Ozen, Yesim Deniz, 2020. "Logistics centers in the new industrial era: A proposed framework for logistics center 4.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    26. Scott Thiebes & Sebastian Lins & Ali Sunyaev, 2021. "Trustworthy artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 447-464, June.
    27. Usama Awan & Robert Sroufe & Muhammad Shahbaz, 2021. "Industry 4.0 and the circular economy: A literature review and recommendations for future research," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2038-2060, May.
    28. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    29. Robert Stanisławski & Andrzej Szymonik, 2021. "Impact of Selected Intelligent Systems in Logistics on the Creation of a Sustainable Market Position of Manufacturing Companies in Poland in the Context of Industry 4.0," Sustainability, MDPI, vol. 13(7), pages 1-25, April.
    30. Subramanian, Nachiappan & Abdulrahman, Muhammad D. & Zhou, Xiaolai, 2014. "Integration of logistics and cloud computing service providers: Cost and green benefits in the Chinese context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 86-98.
    31. Guo, Daqiang & Li, Mingxing & Lyu, Zhongyuan & Kang, Kai & Wu, Wei & Zhong, Ray Y. & Huang, George Q., 2021. "Synchroperation in industry 4.0 manufacturing," International Journal of Production Economics, Elsevier, vol. 238(C).
    32. David Simchi-Levi & Michelle Xiao Wu, 2018. "Powering retailers’ digitization through analytics and automation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 809-816, January.
    33. Ashish Kumar Jha & Maher Agi & Eric W.T. Ngai, 2020. "A note on big data analytics capability development in supply chain," Post-Print hal-03164004, HAL.
    34. Lee, Changhun & Lim, Chiehyeon, 2021. "From technological development to social advance: A review of Industry 4.0 through machine learning," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    35. Ranjan, Jayanthi & Foropon, Cyril, 2021. "Big Data Analytics in Building the Competitive Intelligence of Organizations," International Journal of Information Management, Elsevier, vol. 56(C).
    36. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    37. Francielly Hedler Staudt & Gülgün Alpan & Maria Di Mascolo & Carlos M. Taboada Rodriguez, 2015. "Warehouse performance measurement: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5524-5544, September.
    38. Jebum Pyun & Jin Sung Rha, 2021. "Review of Research on Digital Supply Chain Management Using Network Text Analysis," Sustainability, MDPI, vol. 13(17), pages 1-24, September.
    39. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
    40. Rahul Rai & Manoj Kumar Tiwari & Dmitry Ivanov & Alexandre Dolgui, 2021. "Machine learning in manufacturing and industry 4.0 applications," International Journal of Production Research, Taylor & Francis Journals, vol. 59(16), pages 4773-4778, August.
    41. Wang, Jianxin & Lim, Ming K. & Zhan, Yuanzhu & Wang, XiaoFeng, 2020. "An intelligent logistics service system for enhancing dispatching operations in an IoT environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    42. Ting Zheng & Marco Ardolino & Andrea Bacchetti & Marco Perona, 2021. "The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1922-1954, March.
    43. Dmitry Ivanov & Boris Sokolov & Alexandre Dolgui, 2020. "Introduction to Scheduling in Industry 4.0 and Cloud Manufacturing Systems," International Series in Operations Research & Management Science, in: Boris Sokolov & Dmitry Ivanov & Alexandre Dolgui (ed.), Scheduling in Industry 4.0 and Cloud Manufacturing, chapter 0, pages 1-9, Springer.
    44. Zheng, Ting & Ardolino, Marco & Bacchetti, Andrea & Perona, Marco & Zanardini, Massimo, 2020. "The impacts of Industry 4.0: a descriptive survey in the Italian manufacturing sector," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 129473, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    45. Noha Mostafa & Walaa Hamdy & Hisham Alawady, 2019. "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing," Social Sciences, MDPI, vol. 8(3), pages 1-10, March.
    46. Stefan Seuring & Martin Müller & Magnus Westhaus & Romy Morana, 2005. "Conducting a Literature Review — The Example of Sustainability in Supply Chains," Springer Books, in: Herbert Kotzab & Stefan Seuring & Martin Müller & Gerald Reiner (ed.), Research Methodologies in Supply Chain Management, pages 91-106, Springer.
    47. Kuan Chung Lin & Joseph Z. Shyu & Kun Ding, 2017. "A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and Sustainability Development Transition," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    48. Zbysław Dobrowolski, 2021. "Internet of Things and Other E-Solutions in Supply Chain Management May Generate Threats in the Energy Sector—The Quest for Preventive Measures," Energies, MDPI, vol. 14(17), pages 1-11, August.
    49. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    50. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    51. KRIEBITZ, Alexander & LÃœTGE, Christoph, 2020. "Artificial Intelligence and Human Rights: A Business Ethical Assessment," Business and Human Rights Journal, Cambridge University Press, vol. 5(1), pages 84-104, January.
    52. Simon Gorecki & Jalal Possik & Gregory Zacharewicz & Yves Ducq & Nicolas Perry, 2020. "A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation," Sustainability, MDPI, vol. 12(17), pages 1-26, August.
    53. Nesrin Ada & Yigit Kazancoglu & Muruvvet Deniz Sezer & Cigdem Ede-Senturk & Idil Ozer & Mangey Ram, 2021. "Analyzing Barriers of Circular Food Supply Chains and Proposing Industry 4.0 Solutions," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    54. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
    55. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    56. Gyorgy Kovacs & Sebastian Kot, 2016. "New Logistics And Production Trends As The Effect Of Global Economy Changes," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 14(2), pages 115-126, December.
    57. Fareed Ud Din & David Paul & Joe Ryan & Frans Henskens & Mark Wallis, 2021. "AOSR 2.0: A Novel Approach and Thorough Validation of an Agent-Oriented Storage and Retrieval WMS Planner for SMEs, under Industry 4.0," Future Internet, MDPI, vol. 13(6), pages 1-16, June.
    58. Michela Piccarozzi & Barbara Aquilani & Corrado Gatti, 2018. "Industry 4.0 in Management Studies: A Systematic Literature Review," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
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