skip to main content
10.1145/3512676.3512705acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiccmbConference Proceedingsconference-collections
research-article

Systematic Literature Review on Industry Revolution 4.0 to Enhance Supply Chain Operation Performance

Authors Info & Claims
Published:28 March 2022Publication History

ABSTRACT

Industry 4.0 is a notion in which industries automate systems and processes, innovate digitally, and share information. It aims to obtain a smart factory in an attempt to lessen required time in responding to consumer demand or unexpected circumstances and to enhance organizational productivity. The integration of Industry 4.0 and supply chain management (SCM) ensures immense development opportunities for manufacturing firms. This article provides a systematic literature review and formulation of the existing research on Industry 4.0 in SCM, resulting in some intriguing analyses that will be useful to academics and industry, particularly top managers. The content of the article is classified into three categories: exploratory vs. confirmatory, qualitative vs. quantitative, and management level vs. technology level. The findings will benefit managers in understanding the significance of Industry 4.0 and its relationship with SCM. The formation of clusters and their affiliations has resulted in the emergence of new areas requiring managerial attention. The article concludes by examining the possibilities of the present and future research.

References

  1. Kayikci, Y. (2018). Sustainability impact of digitization in logistics. Procedia Manufacturing, 21, 782–789. https://doi.org/10.1016/J.PROMFG.2018.02.184Google ScholarGoogle ScholarCross RefCross Ref
  2. Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: An overview. Procedia Manufacturing, 13, 1245–1252. https://doi.org/10.1016/J.PROMFG.2017.09.045Google ScholarGoogle ScholarCross RefCross Ref
  3. Santos, C., Mehrsai, A., Barros, A. C., Araújo, M., & Ares, E. (2017). Towards Industry 4.0: An overview of European strategic roadmaps. Procedia Manufacturing, 13, 972–979. https://doi.org/10.1016/j.promfg.2017.09.093Google ScholarGoogle Scholar
  4. Denyer, D., & Tranfield, D. (2009). Producing a systematic review. In D. A. Buchanan & A. Bryman (Eds.), The sage handbook of organizational research methods (pp. 671– 689). Sage Publications Ltd. https://psycnet.apa.org/record/2010-00924-039Google ScholarGoogle Scholar
  5. Abdirad, H., & Dossick, C. S. (2016). BIM curriculum design inarchitecture, engineering, and construction education: A systematic review. ITcon, 21(17), 250–271. https://www.itcon.org/2016/17Google ScholarGoogle Scholar
  6. Ben-Daya, M., Hassini, E., & Bahroun, Z. (2017). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57, 15–16, 4719–4742. https://doi.org/10.1080/00207543.2017.1402140Google ScholarGoogle Scholar
  7. Dallasega, P., Rauch, E., & Linder, C. (2018). Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review. Computers in Industry, 99, 205–225. https://doi.org/10.1016/J.COMPIND.2018.03.039Google ScholarGoogle ScholarCross RefCross Ref
  8. Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of Industry 4.0: A review. Engineering, 3(5), 616–630. https://doi.org/10.1016/J.ENG.2017.05.015Google ScholarGoogle ScholarCross RefCross Ref
  9. Vladimirovich Sokolov, B., Ivanov, D., & Sokolov, B. (2017). Integrated scheduling of material flows and information services in Industry 4.0 supply networks. IFAC-PapersOnLine, 48(3), 1533–1538. https://doi.org/10.1016/j.ifacol.2015.06.304Google ScholarGoogle ScholarCross RefCross Ref
  10. Dweekat, A. J., Hwang, G., & Park, J. (2017). A supply chain performance measurement approach using the internet of things: Toward more practical SCPMS. Industrial Management & Data Systems, 117(2), 267–286. https://doi.org/10.1108/IMDS-03-2016-0096Google ScholarGoogle ScholarCross RefCross Ref
  11. Avventuroso, G., Silvestri, M., & Pedrazzoli., P. (2017). A networked production system to implement virtual enterprise and product lifecycle information loops. IFACPapersOnLine, 50(1), 7964–7969. https://doi.org/10.1016/J.IFACOL.2017.08.902Google ScholarGoogle Scholar
  12. Schlüter, F., & Sprenger, P. (2016). Migration framework for decentralized and proactive risk identification in a Steel Supply Chain via Industry 4.0 technologies. In 5th International Symposium and 27th National Conference on Operation Research (pp. 85–91). Athen. https://doi.org/ 10.13140/RG.2.1.2332.8883Google ScholarGoogle Scholar
  13. Chhetri, S. R., Faezi, S., Rashid, N., & Abdullah, M. (2018). Manufacturing supply chain and product lifecycle security in the era of Industry 4.0. Journal of Hardware and Systems Security, 2(1), 51–68. https://doi.org/10.1007/s41635-017-0031-0Google ScholarGoogle ScholarCross RefCross Ref
  14. Trstenjak, M., & Cosic, P. (2017). Process planning in Industry 4.0 environment. Procedia Manufacturing, 11, 1744–1750. https://doi.org/10.1016/J.PROMFG.2017.07.303Google ScholarGoogle ScholarCross RefCross Ref
  15. Bienhaus, F., & Haddud, A. (2017). Procurement 4.0: Factors influencing the digitisation of procurement and supply chains. Business Process Management Journal, 24(4), 965–984. https://doi.org/10.1108/BPMJ-10-2016-0214Google ScholarGoogle Scholar
  16. Melnyk, S. A., Flynn, B. B., & Awaysheh, A. (2018). The best of times and the worst of times: Empirical operations and supply chain management research. International Journal of Production Research, 56(1–2), 164–192. https://doi.org/10.1080/00207543.2017.1391423Google ScholarGoogle ScholarCross RefCross Ref
  17. Glas, A. H., & Kleemann, F. C. (2016). The Impact of Industry 4.0 on procurement and supply management: A conceptual and qualitative analysis. International Journal of Business and Management Invention , 5(6), 55–66. https://www.ijbmi.org/papers/Vol(5)6/I0506055066.pdfGoogle ScholarGoogle Scholar
  18. Branislav, M., & Jozef, H. (2016). Concept of intelligent logistic for automotive industry. Journal of Applied Engineering Science, 14(2), 233–238. https://doi.org/10.5937/jaes14-10907Google ScholarGoogle ScholarCross RefCross Ref
  19. Strandhagen, J. W., Alfnes, E., Strandhagen, J. O., & Vallandingham, L. R. (2017). The fit of Industry 4.0 applications in manufacturing logistics: A multiple case study. Advances in Manufacturing, 5(4), 344–358. https://doi.org/10.1007/s40436-017-0200-yGoogle ScholarGoogle ScholarCross RefCross Ref
  20. Valverde, R., & Saadé, R. G. (2015). The effect of E-supply chain management systems in the north american electronic manufacturing services industry. Journal of Theoretical and Applied Electronic Commerce Research, 10(1), 79–98. https://doi.org/10.4067/S0718-18762015000100007Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Szozda, N. (2017). Industry 4.0 and its impact on the functioning of supply chains. LogForum, 13(4), 401–414. https://doi.org/10.17270/J.LOG.2017.4.2Google ScholarGoogle ScholarCross RefCross Ref
  22. Ignacio, J., Molano, R., Emiro, L., Bravo, C., & Trujillo, E. R. (2017). Supply chain architecture model based in the Industry 4.0, validated through a mobile application. Contemporary Engineering Sciences, 10(32), 1581–1594. https://doi.org/10.12988/ces.2017.711186Google ScholarGoogle ScholarCross RefCross Ref
  23. Witkowski, K. (2017). Internet of Things, Big Data, Industry 4.0 - innovative solutions in logistics and supply chains management. Procedia Engineering, 182, 763–769. https://doi.org/10.1016/j.proeng.2017.03.197Google ScholarGoogle Scholar
  24. Almada-Lobo, F. (2016). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of Innovation Management, 3(4), 16–21. https://doi.org/10.24840/2183-0606_003.004_0003Google ScholarGoogle ScholarCross RefCross Ref
  25. Ivanov, D., Das, A., & Choi, T.-M. (2018). New flexibility drivers for manufacturing, supply chain and service operations. New Flexibility Drivers for Manufacturing, Supply Chain and Service Operations, International Journal of Production Research, 56(10), 3359–3368. https://doi.org/10.1080/00207543.2018.1457813Google ScholarGoogle ScholarCross RefCross Ref
  26. Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations & Production Management, 37(1), 10–36. https://doi.org/10.1108/IJOPM-02-2015-0078Google ScholarGoogle ScholarCross RefCross Ref
  27. Tuptuk, N., & Hailes, S. (2018). Security of smart manufacturing systems. Journal of Manufacturing Systems, 47, 93–106. https://doi.org/10.1016/J.JMSY.2018.04.007Google ScholarGoogle ScholarCross RefCross Ref
  28. Strange, R., & Zucchella, A. (2017). Industry 4.0, global value chains and international business. Multinational Business Review, 25(3), 174–184. https://doi.org/org/10.1108/MBR05-2017-0028Google ScholarGoogle Scholar
  29. Yin,Y., Stecke,K. E., & Li, D. (2018). The evolution of production systems from Industry 2.0 through Industry 4.0. International Journal of Production Research, 56(1–2), 848–861. https://doi.org/10.1080/00207543.2017.1403664Google ScholarGoogle ScholarCross RefCross Ref
  30. Ennis, C., Barnett, N., de Cesare, S., Lander, R., & Pilkington, A. (2018). A conceptual framework for servitization in industry 4.0: Distilling directions for future research. Proceedings of the Spring Servitization Conference: Driving Competitiveness through Servitization. Aston Business School. http://dx.doi.org/10.2139/ssrn.3529276Google ScholarGoogle Scholar
  31. Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia CIRP, 52, 173–178. https://doi.org/10.1016/J.PROCIR.2016.08.005Google ScholarGoogle ScholarCross RefCross Ref
  32. Bukova, B., Brumercikova, E., Cerna, L., & Drozdziel, P. (2018). The position of Industry 4.0 in the worldwide logistics chains. LOGI-Scientific Journal on Transport and Logistics, 9(1), 18–23. https://doi.org/10.2478/logi-2018-0003Google ScholarGoogle ScholarCross RefCross Ref
  33. Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23–34. https://doi.org/10.1016/j.compind.2017.04.002Google ScholarGoogle ScholarCross RefCross Ref
  34. Pfohl, H.-C., Yahsi, B., & Kurnaz, T. (2015). The impact of Industry 4.0 on the supply chain. In W. Kersten, T. Blecker, & C. M. Ringle (Eds.), Proceedings of the Hamburg International Conference of Logistics (HICL) 21: Sustainability in Logistics and Supply Chain Management: New Designs and strategies (pp. 31–58). epubli GmbH. https://hicl.org/publications/2015/20/31.pdf.Google ScholarGoogle Scholar
  35. Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8, 37–44. https://doi.org/10.5281/zenodo.1336426Google ScholarGoogle Scholar
  36. Jayaram, A. (2016). Lean six sigma approach for global supply chain management using Industry 4.0 and IIoT. In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), Noida, India (pp. 89–94). https://doi.org/10.1109/IC3I.2016.7917940Google ScholarGoogle ScholarCross RefCross Ref
  37. Strandhagen, J. O., Vallandingham, L. R., & Fragapane, G. (2017). Logistics 4.0 and emerging sustainable business models. Advances in Manufacturing, 5(4), 359–369. https://doi.org/10.1007/s40436-017-0198-1Google ScholarGoogle ScholarCross RefCross Ref
  38. de Man, J. C., & Strandhagen, J. O. (2017). An Industry 4.0 research agenda for sustainable business models. Procedia CIRP, 63, 721–726. https://doi.org/10.1016/J.PROCIR.2017.03.315Google ScholarGoogle ScholarCross RefCross Ref
  39. Kagermann, H. (2015). Change through digitization—Value creation in the age of Industry 4.0. In Management of permanent change (pp. 23–45). Wiesbaden: Springer Gabler. doi:10.1007/978-3-658-05014-6_2Google ScholarGoogle ScholarCross RefCross Ref
  40. Fu, Y., Ding, J., Wang, H., & Wang, J. (2018). Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. Applied Soft Computing, 68, 847–855. doi:10.1016/j.asoc.2017.12.009Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Pavitra Dhamija, Monica Bedi, IndiaM.L. Gupta," Industry 4.0 and Supply Chain Management: A Methodological Review", International Journal of Business Analytics, Volume 7, Issue 1, January-March 2020Google ScholarGoogle Scholar
  42. Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. doi:10.1016/j.jbusres.2016.08.004Google ScholarGoogle ScholarCross RefCross Ref
  43. Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards smart factory for Industry 4.0: A selforganized multi-agentsystem with big data based feedback and coordination. Computer Networks, 101, 158–168. doi:10.1016/j.comnet.2015.12.017Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Hermann, M., Pentek, T., & Otto, B. (2016,January). Design principlesfor industrie 4.0 scenarios. In Proceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 3928-3937). IEEE.Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Belvedere, V., & Grando, A. (2017). Sustainable Operations and Supply Chain Management. John Wiley & Sons. doi:10.1002/9781119383260Google ScholarGoogle ScholarCross RefCross Ref
  46. Albino, V., Carbonara, N., and Giannoccaro, I. (2007), “Supply chain cooperation in industrial districts: A simulation analysis”, European Journal of Operational Research, 177, 261-280Google ScholarGoogle ScholarCross RefCross Ref
  47. Chopra, S. and Meindl, P. (2009), “Supply Chain Management - Strategy, Planning, and Operation”, 4th Edition, Prentice HallGoogle ScholarGoogle Scholar
  48. Sathish Kumar Ravichandran and Archana Sasi “Effective Storage of Goods in a Warehouse using Farm Optimization Algorithm” International Journal of Cloud Computing, Vol. 09, no.2/3, 2020Google ScholarGoogle Scholar

Index Terms

  1. Systematic Literature Review on Industry Revolution 4.0 to Enhance Supply Chain Operation Performance
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            ICCMB '22: Proceedings of the 2022 5th International Conference on Computers in Management and Business
            January 2022
            219 pages
            ISBN:9781450387422
            DOI:10.1145/3512676

            Copyright © 2022 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 28 March 2022

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
            • Research
            • Refereed limited

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format .

          View HTML Format