Industry 4.0 Implementation in Lean Supply Chain Management: a Systematic Literature Review

  • Asmae El Jaouhari sidi mohamed ben abdellah university
  • Soumaya Fellaki sidi mohamed ben abdellah university
  • Mohamed Amejwal sidi mohamed ben abdellah university
  • Jabir Arif sidi mohamed ben abdellah university
Keywords: Lean supply chain management, Industry 4.0, Sytematic Literature Review

Abstract

The major aspects and impacts of the interrelationships between Industry 4.0 (I4.0) technology and Lean Supply Chain Management are discussed in this article (LSCM). Many practical LSCM systems based on I4.0 have lately appeared. Despite this, there has been little research into the use of I4.0 technologies within LSCM. Machine learning, smart factories, blockchain, and the internet of services (IoS) are all possible LSCM revolution enablers. The goal of this research is to find out more about present and potential I4.0 technologies that can improve LSCM research and application in order to fill a gap in the current literature. A Systematic Literature Review (SLR) technique was used for the collection, selection, and evaluation of published literature. We looked at 79 studies published between 2010 and 2021 that were found in the Scopus database.

References

A. Haddud, and A. Khare, Digitalizing supply chains potential benefits and impact on lean operations, Int. J. Lean Six Sigma, vol. 11, no 4, p. 731‑765, 2020, doi: 10.1108/IJLSS-03-2019-0026.

N. V. K. Jasti, and R. Kodali, critical review of lean supply chain management frameworks: proposed framework, Production Planning & Control, vol. 26, no 13, p. 1051‑1068, oct. 2015, doi: 10.1080/09537287.2015.1004563.

M. Alefari, K. Salonitis, and Y. Xu, he Role of Leadership in Implementing Lean Manufacturing, Procedia CIRP, vol. 63, p. 756‑761, janv. 2017, doi: 10.1016/j.procir.2017.03.169.

C. S. Tang, and L. P. Veelenturf, The strategic role of logistics in the industry 4.0 era, Transportation Research Part E: Logistics and Transportation Review, vol. 129, p. 1‑11, sept. 2019, doi: 10.1016/j.tre.2019.06.004.

D. Denyer, and D. Tranfield„ Producing a systematic review, in The Sage handbook of organizational research methods, Thousand Oaks, CA: Sage Publications Ltd, 2009, p. 671‑689.

C. Okoli and K. Schabram, A Guide to Conducting a Systematic Literature Review of Information Systems Research, Social Science Research Network, Rochester, NY, SSRN Scholarly Paper ID 1954824, mai 2010. doi: 10.2139/ssrn.1954824.

A. G. Frank, L. S. Dalenogare, and N. F. Ayala, ndustry 4.0 technologies: Implementation patterns in manufacturing companies, International Journal of Production Economics, vol. 210, p. 15‑26, avr. 2019, doi: 10.1016/j.ijpe.2019.01.004.

R. Drath and A. Horch, ndustrie 4.0: Hit or Hype? [Industry Forum], EEE Ind. Electron. Mag., vol. 8, no 2, p.56‑58, juin 2014, doi: 10.1109/MIE.2014.2312079.

M. Ghobakhloo, Industry 4.0, Digitization, and Opportunities for Sustainability, Journal of Cleaner Production, vol. 252, p. 119869, déc. 2019, doi: 10.1016/j.jclepro.2019.119869.

R. Kirk, Cars of the future: the Internet of Things in the automotive industry, Network Security, vol. 2015, no 9, p. 16‑18, sept. 2015, doi: 10.1016/S1353-4858(15)30081-7.

J. Arif, Y. Mouzouna, and F. Jawab The Use of Internet of Things (IoT) Applications in the Logistics Outsourcing: Smart RFID Tag as an Example. 2019.

J. Gubbi, R. Buyya, S. Marusic, et M. Palaniswami, Internet of Things (IoT): A vision, architectural elements, and future directions , Future Generation Computer Systems, vol. 29, no 7, p. 1645‑1660, sept. 2013, doi: 10.1016/j.future.2013.01.010.

L. Atzori, A. Iera, et G. Morabito„ he Internet of Things: A survey, Computer Networks, vol. 54, no 15, p.2787‑2805, oct. 2010, doi: 10.1016/j.comnet.2010.05.010.

D. Schutzer, Business expert systems: The competitive edge, Expert Systems with Applications, vol. 1, no 1, p. 17‑21, janv. 1990, doi: 10.1016/0957-4174(90)90065-3.

R. Toorajipour, V. Sohrabpour, A. Nazarpour, P. Oghazi, and M. Fischl, Artificial intelligence in supply chain management: A systematic literature review, Journal of Business Research, vol. 122, p. 502‑517, janv. 2021, doi: 10.1016/j.jbusres.2020.09.009.

M. Sangeetha, A. Hoti, R. Bansal, M. Faez Hasan, K. Gajjar, and K. Srivastava Facilitating artificial intelligence supply chain analytics through finance management during the pandemic crises, Materials Today: Proceedings, déc. 2021, doi: 10.1016/j.matpr.2021.11.418.

K. Moharm, State of the art in big data applications in microgrid: A review , Advanced Engineering Informatics, vol. 42, p. 100945, oct. 2019, doi: 10.1016/j.aei.2019.100945.

W. Zhao, Y. Peng, F. Xie, and Z. Dai, Modeling and simulation of cloud computing: A review, in 2012 IEEE Asia Pacific Cloud Computing Congress (APCloudCC), Shenzhen, China, nov. 2012, p. 20‑24. doi: 10.1109/APCloudCC.2012.6486505.

A. Jede and F. Teuteberg, ntegrating cloud computing in supply chain processes: A comprehensive literature review, Journal of Enterprise Information Management, vol. 28, no 6, p. 872‑904, janv. 2015, doi: 10.1108/JEIM- 08-2014-0085.

R. mason-jones and D. TOWILLz, Lean, Agile or Leagile? Matching Your Supply Chain to the Marketplace , International Journal of Production Research, vol. 38, nov. 2010, doi: 10.1080/00207540050204920.

L. Xu, C. Wang, and J. Zhao, , ecision and coordination in the dual-channel supply chain considering cap-and-trade regulation, Journal of Cleaner Production, vol. 197, p. 551‑561, oct. 2018, doi: 10.1016/j.jclepro.2018.06.209.

Y. Wu, D. C. Ranasinghe, Q. Z. Sheng, S. Zeadally, and J. Yu, FID enabled traceability networks: a survey, Distrib Parallel Databases, vol. 29, no 5, p. 397‑443, oct. 2011, doi: 10.1007/s10619-011-7084-9.

F. Altiparmak, M. Gen, L. Lin, et T. Paksoy„ genetic algorithm approach for multi-objective optimization of supply chain networks , Computers & Industrial Engineering, vol. 51, no 1, p. 196‑215, sept. 2006, doi: 10.1016/j.cie.2006.07.011.

A. Akanmu et C. J. Anumba, Cyber-physical systems integration of building information models and the physical construction, Engineering, Construction and Architectural Management, vol. 22, no 5, p. 516‑535, janv. 2015, doi: 10.1108/ECAM-07-2014-0097.

J. Lee, B. Bagheri, et H.-A. Kao, , Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems, Manufacturing Letters, vol. 3, p. 18‑23, janv. 2015, doi: 10.1016/j.mfglet.2014.12.001.

J. Lee, B. Bagheri, et H.-A. Kao, Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics, 2014. doi: 10.13140/2.1.1464.1920.

X. Yuan, C. Anumba, and M. Parfitt, Review of the Potential for a Cyber-Physical System Approach to Temporary Structures Monitoring , International Journal of Architectural Research: ArchNet-IJAR, vol. 9, p. 26‑44, nov. 2015, doi: 10.26687/archnet-ijar.v9i3.841.

D. Szafir, B. Mutlu, and T. Fong„ Designing planning and control interfaces to support user collaboration with flying robots, The International Journal of Robotics Research, vol. 36, no 5‑7, p. 514‑542, juin 2017, doi: 10.1177/0278364916688256.

J. Vogt Duberg, G. Johansson, E. Sundin, and O. Tang, Economic evaluation of potential locations for remanufacturing in an extended supply chain – a case study on robotic lawn mowers, Procedia CIRP, vol. 90, p. 14‑18, janv. 2020, doi: 10.1016/j.procir.2020.01.087.

C. Flechsig, F. Anslinger, and R. Lasch„ obotic Process Automation in purchasing and supply management: A multiple case study on potentials, barriers, and implementation, Journal of Purchasing and Supply Management, p. 100718, août 2021, doi: 10.1016/j.pursup.2021.100718.

S. Subbiah, C. Schoppmeyer, J. M. D. L. F. Valdès, C. Sonntag, et S. Engell, Optimal Management of Shuttle Robots in a High-Rise Warehouse Using Timed Automata Models, IFAC Proceedings Volumes, vol. 46, no 9, p. 1358‑1363, janv. 2013, doi: 10.3182/20130619-3-RU-3018.00192.

Published
2023-01-23
How to Cite
El Jaouhari, A., Fellaki, S., Amejwal, M., & Arif, J. (2023). Industry 4.0 Implementation in Lean Supply Chain Management: a Systematic Literature Review. Statistics, Optimization & Information Computing, 11(1), 178-185. https://doi.org/10.19139/soic-2310-5070-1539
Section
Research Articles