Lean Industry 4.0: Past, present, and future

References

• Agostini, L., and A. Nosella. 2019. The adoption of Industry 4.0 technologies in SMEs: Results of an international study. Management Decision 58 (4):625–43. doi: 10.1108/MD-09-2018-0973.
   Web of Science ®Google Scholar
• Akao, Y. 1991. Hoshin Kanri. Cambridge, MA: Productivity Press.
   Google Scholar
• Al Balkhy, W., R. Sweis, and Z. Lafhaj. 2021. Barriers to adopting Lean construction in the construction industry – The case of Jordan. Buildings 11 (6):222. doi: 10.3390/buildings11060222.
   Web of Science ®Google Scholar
• Amrani, A., and B. Vallespir. 2021. Lean production and Industry 4.0 technologies: Link and Interactions. In IFIP International Conference on Advances in Production Management Systems IFIP AICT. Vol. 630, 697–703.
   Google Scholar
• Ansari, F., S. Erol, and W. Sihn. 2018. Rethinking human-machine learning in Industry 4.0: How does the paradigm shift treat the role of human learning? In 8th Conference on Learning Factories, 117–122. doi: 10.1016/j.promfg.2018.04.003.
   Google Scholar
• Arey, D., C. Le, and J. Gao. 2021. Lean Industry 4.0: A digital value stream approach to process improvement. Procedia Manufacturing 54:19–24. doi: 10.1016/j.promfg.2021.07.004.
   Google Scholar
• Atwell, C. 2017. Yes, Industry 5.0 is already on the horizon. Manufacturing Design. Accessed June 4, 2022. https://www.machinedesign.com/automation-iiot/article/21835933/yes-industry-50-is-already-on-the-horizon
   Google Scholar
• Awan, U., R. Sroufe, and K. Bozan. 2022. Designing value chains for Industry 4.0 and a circular economy: A review of the literature. Sustainability 14 (12):7084. doi: 10.3390/su14127084.
   Web of Science ®Google Scholar
• Ballé, M., J. Chaize, F. Fiancette, and E. Prévot. 2010. The Lean Leap: Lean as a learning accelerator. Reflections the SoL Journal 10 (3):1–16.
   Google Scholar
• Baruch, Y. 1999. Response rate in academic studies-A comparative analysis. Human Relations 52 (4):421–38. doi: 10.1177/001872679905200401.
   Web of Science ®Google Scholar
• Belhadi, A., V. Mani, S. Kamble, R. Khan, and S. Verma. 2021. Artificial intelligence-driven innovation for enhanced supply chain resilience and performance under the effect of supply chain dynamism: An empirical investigation. Annals of Operations Research 1–26. doi: 10.1007/s10479-021-03956-x.
   Web of Science ®Google Scholar
• Bell, E., A. Bryman, and B. Harley. 2018. Business research methods. London: Oxford University Press.
   Google Scholar
• Bhattacharya, A., P. Mohapatra, V. Kumar, P. K. Dey, M. Brady, M. K. Tiwari, and S. S. Nudurupati. 2014. Green supply chain performance measurement using fuzzy ANP-based balanced scorecard: A collaborative decision-making approach. Production Planning & Control 25 (8):698–714. doi: 10.1080/09537287.2013.798088.
   Web of Science ®Google Scholar
• Bicheno, J. 1991. 34 for quality: A guide to gurus, tools, wastes and techniques. Moreton Press, Buckingham.
   Google Scholar
• Bicheno, J., and M. Holweg. 2016. The lean toolbox. 5th ed. Buckingham: Picsie Books.
   Google Scholar
• Bittencourt, V., A. Alves, and C. Leão. 2021. Industry 4.0 triggered by Lean Thinking: Insights from a systematic literature review. International Journal of Production Research 59 (5):1496–510. doi: 10.1080/00207543.2020.1832274.
   Web of Science ®Google Scholar
• Breque, M., and De Nul, L. P. A. 2021. Industry 5.0: Towards a sustainable, human-centric and resilient European industry. European Commission, Brussels.
   Google Scholar
• Buer, S.-V., M. Semini, J. Strandhagen, and F. Sgarbossa. 2021. The complementary effect of lean manufacturing and digitalisation on operational performance. International Journal of Production Research 59 (7):1976–92. doi: 10.1080/00207543.2020.1790684.
   Web of Science ®Google Scholar
• Buer, S.-V., J. Strandhagen, and F. Chan. 2018. The link between Industry 4.0 and Lean manufacturing: Mapping current research and establishing a research agenda. International Journal of Production Research 56 (8):2924–40. doi: 10.1080/00207543.2018.1442945.
   Web of Science ®Google Scholar
• Burggräf, P., C. Lorber, A. Pyka, J. Wagner, and T. Weisser. 2020. Kaizen 4.0 towards an integrated framework for the Lean-Industry 4.0 transformation. In Proceedings of the Future Technologies Conference (FTC), IFIP AISC. Vol. 1070, 692–709.
   Google Scholar
• Caldarelli, V., M. Filipponi, S. Saetta, and F. Rossi. 2022. Lean and green production for the modular construction. Procedia Computer Science 200 (11):1298–307. doi: 10.1016/j.procs.2022.01.331.
   Google Scholar
• Castro, H., G. Putnik, and V. Shah. 2012. A review of agile and lean manufacturing as issues in selected international and national research and development programs and roadmaps. The Learning Organization 19 (3):267–89. doi: 10.1108/09696471211220064.
   Google Scholar
• Cattaneo, L., M. Rossi, E. Negri, D. Powell, and S. Terzi. 2017. Lean thinking in the digital era. In IFIP International Conference on Product Lifecycle Management. Vol. 517, 371–81.
   Google Scholar
• Choudhary, K., N. Sangwa, K. Sangwan, and R. Singh. 2022. Impact of Lean and quality management practices on green supply chain performance: An empirical study on ceramic enterprises. Quality Management Journal 29 (3):193–211. doi: 10.1080/10686967.2022.2083036.
   Google Scholar
• Ciano, M., P. Dallasega, G. Orzes, and T. Rossi. 2021. One-to-one relationships between Industry 4.0 technologies and Lean production techniques: A multiple case study. International Journal of Production Research 59 (5):1386–410. doi: 10.1080/00207543.2020.1821119.
   Web of Science ®Google Scholar
• Colim, A., R. Morgado, J. Dinis-Carvalho, and N. Sousa. 2021. An empirical study of work conditions and productive robotics implementation in a manufacturing assembly process. FME Transactions 49 (4):859–66. doi: 10.5937/fme2104859C.
   Web of Science ®Google Scholar
• Creswell, J. 2014. Education research: Conducting and evaluating quantitative and qualitative research. Pearson Publishing, Chandler, AZ.
   Google Scholar
• da Silva, L., R. Soltovski, J. Pontes, F. Treinta, P. Leitão, E. Mosconi, L. de Resende, and R. Yoshino. 2022. Human resources management 4.0: Literature review and trends. Computers & Industrial Engineering 168 (1):108111. doi: 10.1016/j.cie.2022.108111.
   Google Scholar
• Dai, T., and J. Cromley. 2014. Changes in implicit theories of ability in biology and dropout from STEM majors: A latent growth curve approach. Contemporary Educational Psychology 39 (3):233–47. doi: 10.1016/j.cedpsych.2014.06.003.
   Web of Science ®Google Scholar
• Danese, P., V. Manfè, and P. Romano. 2018. A systematic literature review on recent lean research: State‐of‐the‐art and future directions. International Journal of Management Reviews 20 (2):579–605. doi: 10.1111/ijmr.12156.
   Web of Science ®Google Scholar
• Danese, P., R. Mocellin, and P. Romano. 2021. Designing blockchain systems to prevent counterfeiting in wine supply chains: A multiple-case study. International Journal of Operations & Production Management 41 (13):1–33. doi: 10.1108/IJOPM-12-2019-0781.
   Web of Science ®Google Scholar
• Dickmann, P. 2008. Schlanker materialfluss: Mit Lean Production, kanban und innovationen. Springer-Verlag, Secaucus, NJ.
   Google Scholar
• Duarte, S., and V. Cruz-Machado. 2019. Green and lean supply-chain transformation: A roadmap. Production Planning & Control 30 (14):1170–83. doi: 10.1080/09537287.2019.1595207.
   Web of Science ®Google Scholar
• Efimova, A., P. Bris, and A. Efimov. 2021. A bibliographic analysis of the evolution of Six Sigma in the context of Industry 4.0. Inzinerine Ekonomika 32 (4):338–49.
   Web of Science ®Google Scholar
• Ejsmont, K., B. Gladysz, D. Corti, F. Castaño, W. M. Mohammed, and J. L. Martinez Lastra. 2020. Towards ‘Lean Industry 4.0’ – current trends and future perspectives. Cogent Business & Management 7 (1):1781995. doi: 10.1080/23311975.2020.1781995.
   Web of Science ®Google Scholar
• Elafri, N., B. Rose, and S. Boudemagh. 2022. Impacts of Industry 4.0 technologies on Lean management tools: A bibliometric analysis. International Journal on Interactive Design and Manufacturing 16 (16):1–16.
   Google Scholar
• Elenkov, D., and I. Manev. 2005. Top management leadership and influence on innovation: The role of sociocultural context. Journal of Management 31 (3):381–402. doi: 10.1177/0149206304272151.
   Web of Science ®Google Scholar
• Emery, F. “Characteristics of Socio-Technical Systems”. The Social Engagement of Social Science, a Tavistock Anthology, Volume 2: A Tavistock Anthology–The Socio-Technical Perspective, edited by Eric Trist, Hugh Murray and Beulah Trist, Philadelphia: University of Pennsylvania Press, 2016, pp. 157–186. https://doi.org/10.9783/9781512819052-009
   Google Scholar
• Emiliani, B. 2008. Practical lean leadership: A strategic leadership guide for executives. The CLBM, Wethersfield.
   Google Scholar
• Enterprise Ireland. 2022a. Productivity and sustainability. Accessed September 26, 2022. https://www.enterprise-ireland.com/en/Productivity/Lean-Business-Offer/
   Google Scholar
• Enterprise Ireland. 2022b. Funding supports. https://www.enterprise-ireland.com/en/funding-supports/Digital-Transition-Fund/
   Google Scholar
• Ferenhof, H., and R. Fernandes. 2016. Demystifying literature review as a basis for scientific writing: The SSF method. Revista ACB 21 (3):550–63. (in Portuguese).
   Google Scholar
• Fields, S., and M. Sanders. 2021. Quantum lean: The next step in lean systems. In Learning in the digital era. doi: 10.1007/978-3-030-92934-3_25.
   Google Scholar
• Filho, M., L. Monteiro, R. Mota, J. Gonella, and L. Campos. 2022. The relationship between Circular Economy, Industry 4.0 and supply chain performance: A combined ISM/fuzzy logic MICMAC approach. Sustainability 14 (5):2772. doi: 10.3390/su14052772.
   Web of Science ®Google Scholar
• Flanigan, A., S. Peteranetz, D. Shell, and L.-K. Soh. 2017. Implicit intelligence beliefs of computer science students: Exploring change across the semester. Contemporary Educational Psychology 48:179–96. doi: 10.1016/j.cedpsych.2016.10.003.
   Web of Science ®Google Scholar
• Gallo, T., C. Cagnetti, C. Silvestri, and A. Ruggieri. 2021. Industry 4.0 tools in lean production: A systematic review. Procedia Computer Science 180:394–403. doi: 10.1016/j.procs.2021.01.255.
   Google Scholar
• Ganjavi, N., and H. Fazlollahtabar. 2022. Integrated sustainable production value measurement model based on Lean and Six sigma in Industry 4.0 context. IEEE Transactions on Engineering Management :1–14. doi: 10.1109/TEM.2021.3078169.
   Web of Science ®Google Scholar
• Gao, Y., V. A. González, T. W. Yiu, G. Cabrera-Guerrero, and R. Deng. 2022. Predicting construction workers’ intentions to engage in unsafe behaviours using machine learning algorithms and taxonomy of personality. Buildings 12 (6):841. doi: 10.3390/buildings12060841.
   Web of Science ®Google Scholar
• Geissbauer, R., S. Schrauf, and C. Hentrich. 2015. Industry 4.0 self-assessment. Accessed July 29, 2022. https://i40-self-assessment.pwc.de/
   Google Scholar
• Ghobakhloo, M., and M. Fathi. 2019. Corporate survival in Industry 4.0 era: The enabling role of lean-digitized manufacturing. Journal of Manufacturing Technology Management 31 (1):1–30. doi: 10.1108/JMTM-11-2018-0417.
   Web of Science ®Google Scholar
• Gligor, D., and M. Holcomb. 2012. Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review. Supply Chain Management: An International Journal 17 (4):438–53. doi: 10.1108/13598541211246594.
   Web of Science ®Google Scholar
• Goss, M., S. McNutt, and J. Bible. 2021. Does publication history predict future publication output in orthopaedics? Cureus 13 (5): e15273. doi: 10.1145/3240167.32401871.
   Web of Science ®Google Scholar
• Götz, M., and B. Jankowska. 2017. Clusters and Industry 4.0 - What kind of relations? In 43rd European International Business Academy (EIBA) Annual Conference, Milan, Italy.
   Google Scholar
• Guide, V., and M. Ketokivi. 2015. Notes from the editors: Redefining some methodological criteria for the journal. Journal of Operations Management 37 (1):v–viii. doi: 10.1016/S0272-6963(15)00056-X.
   Web of Science ®Google Scholar
• Haddud, A., and A. Khare. 2020. Digitizing supply chains potential benefits and impact on lean operations. International Journal of Lean Six Sigma 11 (4):731–65. doi: 10.1108/IJLSS-03-2019-0026.
   Web of Science ®Google Scholar
• Hariry, R., R. Barenji, and A. Paradkar. 2022. Towards pharma 4.0 in clinical trial: A future-oriented perspective. Drug Discovery Today.27 (1):315–25. doi: 10.1016/j.drudis.2021.09.002.
   Web of Science ®Google Scholar
• Heikkilä, P., A. Honka, and E. Kaasinen. 2018. Quantified factory worker: Designing a worker feedback dashboard. In Proceedings of the 10th Nordic Conference on Human-Computer Interaction. doi: 10.1145/3240167.3240187.
   Google Scholar
• Hermann, M., T. Pentek, and B. Otto. 2016. Design principles for Industry 4.0 scenarios. In Proceedings of 49th IEEE Hawaii International Conference on System Sciences, 3928–37.
   Google Scholar
• Hines, P. 2022. Human-centred lean: Introducing the people value stream. International Journal of Lean Six Sigma 13 (5):961–88. doi: 10.1108/IJLSS-03-2021-0061.
   Web of Science ®Google Scholar
• Hines, P., M. Holweg, and N. Rich. 2004. Learning to evolve: A review of contemporary lean thinking. International Journal of Operations & Production Management 24 (10):994–1011. doi: 10.1108/01443570410558049.
   Web of Science ®Google Scholar
• Hines, P., and T. Netland. 2022. Teaching a lean masterclass in the metaverse. International Journal of Lean Six Sigma. doi: 10.1108/IJLSS-02-2022-0035.
   Web of Science ®Google Scholar
• Hines, P., and C. Butterworth. 2019. The essence of excellence: Creating a culture of continuous improvement. SA Partners, Caerphilly.
   Google Scholar
• Hines, P., P. Found, G. Griffiths, and R. Harrison. 2008. Staying lean: Thriving, not just surviving. Lean Enterprise Research Centre, Cardiff University, Cardiff.
   Google Scholar
• Holweg, M. 2007. The genealogy of lean production. Journal of Operations Management 25 (2):420–37. doi: 10.1016/j.jom.2006.04.001.
   Web of Science ®Google Scholar
• Hsieh, H., and S. Shannon. 2005. Three approaches to qualitative content analysis. Qualitative Health Research 15 (9):1277–88. doi: 10.1177/1049732305276687.
   PubMed Web of Science ®Google Scholar
• Irisgroup. 2013. Digitalisering af Dansk erhvervsliv. (in Danish). Accessed 27 July 2022. https://irisgroup.dk/digitalisering-dansk-erhvervsliv/
   Google Scholar
• Ishikawa, K. 1968. Guide to quality control. APO, Tokyo, Japan.
   Google Scholar
• Ivanaj, S., M. Collet, C. Gendron, and A. Friser. 2021. Lean And CSR, contradictions and complementarities: Toward an effective managerial solution. Quality Management Journal 28 (4):205–22. doi: 10.1080/10686967.2021.1962775.
   Google Scholar
• Jaroenkunathum, C. 2021. Data security policies for smartphones and wearable technologies. Accessed 26 September 2022. https://www.researchgate.net/publication/356914610_Data_security_policies_for_Smartphones_and_Wearable_Technologies
   Google Scholar
• Javaid, M., A. Haleem, R. Singh, S. Khan, and R. Suman. 2022. Sustainability 4.0 and its applications in the field of manufacturing. Internet of Things and Cyber-Physical Systems. 2:82–90. doi: 10.1016/j.iotcps.2022.06.001.
   Google Scholar
• John, L., M. Sampayo, and P. Peças. 2021. Lean & green on Industry 4.0 context – Contributions to understand L&G drivers and design principles. International Journal of Mathematical, Engineering and Management Sciences 6 (5):1214–29. doi: 10.33889/IJMEMS.2021.6.5.073.
   Google Scholar
• Kabzhassarova, M., A. Kulzhanova, D. Dikhanbayeva, M. Guney, and A. Turkyilmaz. 2021. Effect of Lean4.0 on sustainability performance: A review. Procedia CIRP 103:73–8. doi: 10.1016/j.procir.2021.10.011.
   Google Scholar
• Kagermann, H., W. Wahlster, and J. Helbig. 2013. Securing the future of German manufacturing industry: Recommendations for implementing the strategic initiative Industrie 4.0. Final Report of The Industries 4.0 Working Group, Acatech— National Academy of Science and Engineering.
   Google Scholar
• Kamble, S., A. Gunasekaran, and N. C. Dhone. 2020. Industry 4.0 and Lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies. International Journal of Production Research 58 (5):1319–37. doi: 10.1080/00207543.2019.1630772.
   Web of Science ®Google Scholar
• Kelley, K., B. Clark, V. Brown, and J. Sitzia. 2003. Good practice in the conduct and reporting of survey research. International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care 15 (3):261–6. doi: 10.1093/intqhc/mzg031.
   PubMed Web of Science ®Google Scholar
• Khabsa, M., and C. Giles. 2014. The number of scholarly documents on the public web. Accessed 22 July 2022. https://web.archive.org/web/20140830124816/http://www.plosone.org/article/info%3Adoi% F10.1371%2Fjournal.pone.0093949 doi: 10.1371/journal.pone.0093949.
   Google Scholar
• Khan, S., M. Mubarik, S. Kusi-Sarpong, H. Gupta, S. Zaman, and M. Mubarik. 2022. Blockchain technologies as enablers of supply chain mapping for sustainable supply chains. Business Strategy and the Environment:1–15. doi: 10.1002/bse.3029.
   Web of Science ®Google Scholar
• Kipper, L., L. Furstenau, D. Hoppe, R. Frozza, and S. Iepsen. 2020. Scopus scientific mapping production in Industry 4.0 (2011-2018): A bibliographic analysis. International Journal of Production Research 58 (6):1605–27. doi: 10.1080/00207543.2019.1671625.
   Web of Science ®Google Scholar
• Kolberg, D., and D. Zühlke. 2015. Lean automation enabled by Industry 4.0 technologies. IFAC-PapersOnLine 48 (3):1870–5. doi: 10.1016/j.ifacol.2015.06.359.
   Google Scholar
• Kolla, S., M. Minufekr, and P. Plapper. 2019. Deriving essential components of Lean and Industry 4.0 assessment model for manufacturing SMEs. Procedia CIRP 81:753–8. doi: 10.1016/j.procir.2019.03.189.
   Google Scholar
• Kucera, D. 2018. Ethics in the Industrial 4.0 environment. VŠPP Entrepreneurship Studies, Odborně-Vědecký Journal:5–14. (in Czech).
   Google Scholar
• Kumar, A. 2018. HRM 4.0: High on expectations. International Journal of Enhanced Research in Educational Development 6 (1):24–6.
   Google Scholar
• Kumar, K., D. Zindani, and J. Davim. 2019. Socio-technical considerations. In Digital image forensics. doi: 10.1007/978-981-13-8165-2_5.
   Google Scholar
• Kyrillos, S., R. do Nascimento, J. de Souza, U. Junior, and J. Saccomano. 2021. Value Stream Mapping (VSM) applied to a company of the metal-mechanic in 4.0 Industry context. Revista FSA, 18 (7):18–36.
   Google Scholar
• Lagorio, A., C. Cimini, and P. Gaiardelli. 2021. Reshaping the concepts of job enrichment and job enlargement: The impacts of Lean and Industry 4.0. In IFIP International Conference on Advances in Production Management Systems. Vol. 630, 721–9.
   Google Scholar
• Laing, Y., Z. Liu, Y. Song, A. Yang, X. Ye, and Y. Ouyang. 2021. A methodology of trusted data sharing across telecom and finance sector under China’s data security policy. In IEEE International Conference on Big Data (Big Data). doi: 10.1109/BigData52589.2021.9671857.
   Google Scholar
• Lan, T., K. Jermsittiparsert, S. Alrashood, M. Rezaei, L. Al-Ghussain, and M. Mohamed. 2021. An advanced machine learning-based energy management of renewable microgrids considering hybrid electric vehicles’ charging demand. Energies 14 (3):569. doi: 10.3390/en14030569.
   Web of Science ®Google Scholar
• Larrea, M., and M. Estensoro. 2021. Governance of Industry 4.0 policies: Making knowledge services accessible for SMEs. Regional Studies 55 (10–11):1839–50. doi: 10.1080/00343404.2021.1954612.
   Web of Science ®Google Scholar
• Lestari, F., I. Marie, and E. Sari. 2021. Sustainable Lean Six Sigma competitive manufacturing strategy for luggage manufacturer. Journal of Modern Manufacturing Systems and Technology 5 (2):22–34. doi: 10.15282/jmmst.v5i2.6849.
   Google Scholar
• Leyh, C., S. Martin, and T. Schäffer. 2017. Industry 4.0 and Lean Production – A matching relationship? In Proceedings of the Federated Conference on Computer Science and Information Systems. Vol. 11, 989–93.
   Google Scholar
• Li, D., Z. Liang, F. Tell, and L. Xue. 2021. Sectoral systems of innovation in the era of the fourth industrial revolution. Industrial and Corporate Change 30 (1):123–35. doi: 10.1093/icc/dtaa064.
   Web of Science ®Google Scholar
• Liker, J. 2004. The Toyota way: 14 management principles from the world’s greatest manufacturer. New York: McGraw-Hill.
   Google Scholar
• Liker, J., and M. Hoseus. 2008. Toyota culture: The heart and soul of the Toyota way. New York: McGraw-Hill.
   Google Scholar
• Limeri, L., N. Carter, J. Choe, H. Harper, H. Martin, A. Benton, and E. Dolan. 2020. Growing a growth mindset: Characterizing how and why undergraduate students’ mindsets change. International Journal of STEM Education 7 (1):35. doi: 10.1186/s40594-020-00227-2.
   Web of Science ®Google Scholar
• Lu, Y., and X. Xu. 2018. Resource virtualization: A core technology for developing cyber-physical production systems. Journal of Manufacturing Systems 47:128–40. doi: 10.1016/j.jmsy.2018.05.003.
   Web of Science ®Google Scholar
• Lugert, A., A. Batz, and H. Winkler. 2018. Empirical assessment of the future adequacy of value stream mapping in manufacturing industries. Journal of Manufacturing Technology Management 29 (5):886–906. doi: 10.1108/JMTM-11-2017-0236.
   Web of Science ®Google Scholar
• MacDuffie, J. 1995. Human resource bundles and manufacturing performance. ILR Review 48 (2):197–221. doi: 10.1177/001979399504800201.
   Google Scholar
• Machado, E., L. Scavarda, R. Caiado, and A. Thomé. 2021. Barriers and enablers for the integration of Industry 4.0 and sustainability in supply chains of MSMEs. Sustainability 13 (21):11664. doi: 10.3390/su132111664.
   Web of Science ®Google Scholar
• Macpherson, A., and R. Holt. 2007. Knowledge, learning an SME policy: A systematic review of the evidence. Research Policy 36 (2):172–92. doi: 10.1016/j.respol.2006.10.001.
   Web of Science ®Google Scholar
• Maisiri, W., L. van Dyk, and R. Coetzee. 2021. Development of an Industry 4.0 competency maturity model. SAIEE Africa Research Journal 112:4:189–97.
   Web of Science ®Google Scholar
• Mann, D. 2009. Creating a lean culture: Tools to sustain lean conversions. New York: Productivity Press.
   Google Scholar
• Martins, G., F. Deschamps, S. Detro, and P. Valle. 2022. Performance measurement based on machines data: Systematic literature review. IET Collaborative Intelligent Manufacturing 4 (2):74–86. doi: 10.1049/cim2.12051.
   Google Scholar
• Martyn, M., and B. Crowell. 2012. Own the gap. Tigard, OR: SISU Press.
   Google Scholar
• Mason-Jones, R., R. Fisher, A. Thomas, and M. Francis. 2019. Author and institution citation analysis of the lean literature. International Journal of Supply Chain and Operations Resilience 3 (4):330. doi: 10.1504/IJSCOR.2019.099457.
   Google Scholar
• Matt, D., E. Rauch, and M. Riedl. 2021. Knowledge transfer and introduction of Industry 4.0 in SMEs: A five-step methodology to introduce Industry 4.0. In Research anthology on cross-industry challenges of industry 4.0. doi: 10.4018/978-1-7998-8548-1.ch015
   Google Scholar
• Mayring, P. 2004. Qualitative content analysis. A Companion to Qualitative Research 1 (2):159–76.
   Google Scholar
• Mefi, N., and S. Asoba. 2021. Industry 4.0 and skills deficiencies in the HRM function: Case study of the HRM department of a selected organisation in Cape Town. Academy of Entrepreneurship Journal 27 (2)
   Google Scholar
• Miles, M., and M. Huberman. 1994. Qualitative data analysis: An expanded sourcebook. Thousand Oaks, CA: Sage Publishing.
   Google Scholar
• Moeuf, A., R. Pellerin, S. Lamouri, S. Tamayo-Giraldo, and R. Barbaray. 2017a. The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research 56 (3):1118–36. doi: 10.1080/00207543.2017.1372647.
   Web of Science ®Google Scholar
• Moeuf, A., R. Eburdy, S. Lamouri, S. Tamayo, and R. Pellerin. 2017b. Industry 4.0 and the SME: A technology-focused review of the empirical literature. In 7th International Conference on Industrial Engineering and Systems (IESM), Saarbrücken, Germany.
   Google Scholar
• Monden, Y. 1983. Toyota production system: An integrated approach to just-in-time. Norcross, GE: Institute of Industrial Engineers.
   Google Scholar
• Nagaoka, L. 2006. Assessing publication impact through citation records. The SAA Archaeological Record:32–7, March.
   Google Scholar
• Nahavandi, S. 2019. Industry 5.0 – A Human Centred Solution. Sustainability 11 (16):4371. doi: 10.3390/su11164371.
   Web of Science ®Google Scholar
• Netland, T. 2016. Critical success factors for implementing lean production: The effect of contingencies. International Journal of Production Research 54 (8):2433–48. doi: 10.1080/00207543.2015.1096976.
   Web of Science ®Google Scholar
• Netland, T., D. Powell, and P. Hines. 2019. Demystifying Lean Leadership. International Journal of Lean Six Sigma 11 (3):543–54. doi: 10.1108/IJLSS-07-2019-0076.
   Web of Science ®Google Scholar
• Núñez-Merino, M., J. Maqueira Marín, J. Moyano-Fuentes, and P. Martínez-Jurado. 2020. Information and digital technologies of Industry 4.0 and Lean supply chain management: A systematic literature review. International Journal of Production Research 58 (16):5034–61. doi: 10.1080/00207543.2020.1743896.
   Web of Science ®Google Scholar
• Pagliosa, M., G. Tortorella, and J. Ferreira. 2021. Industry 4.0 and Lean manufacturing: A systematic literature review and future research directions. Manufacturing Technology Management 32:3:543–569.
   Web of Science ®Google Scholar
• Pamornmast, C., T. Sriyakul, and K. Jermsittiparsert. 2019. Can Lean manufacturing and 4.0 Industry enhance the financial performance of pharmaceutical industries of Thailand? Mediating role of waste reduction behavior. Systematic Reviews in Pharmacy 10 (2):318–27.
   Google Scholar
• Pereira, C., M. Christopher, and A. Da Silva. 2014. Achieving supply chain resilience: The role of procurement. Supply Chain Management: An International Journal 19 (5–6):626–42. doi: 10.1108/SCM-09-2013-0346.
   Web of Science ®Google Scholar
• Potter, C., T. Harwood, J. Knight, and I. Tomlinson. 2011. Learning from history, predicting the future: The Dutch elm disease outbreak in relation to contemporary tree disease threats. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 366 (1573):1966–74. doi: 10.1098/rstb.2010.0395.
   Web of Science ®Google Scholar
• Qualtrics. 2022. Representative samples: What you need to know. Accessed July 20, 2022. https://www.qualtrics.com/experience-management/research/representative-samples/
   Google Scholar
• Reinhardt, I. C., D. J. C. Oliveira, and D. D. T. Ring. 2020. Current perspectives on the development of Industry 4.0 in the pharmaceutical sector. Journal of Industrial Information Integration 18:100131. doi: 10.1016/j.jii.2020.100131.
   Web of Science ®Google Scholar
• Reyes, J., J. Mula, and M. Díaz-Madroñero. 2021. Development of a conceptual model for Lean supply chain planning in Industry 4.0: Multidimensional analysis for operations management. Production Planning and Control:1–16. doi: 10.1080/09537287.2021.1993373.
   Web of Science ®Google Scholar
• Romero, D., J. Stahre, and M. Taisch. 2019a. The operator 4.0: Towards socially sustainable factories of the future. Computers and Industrial Engineering 139:1:1–17.
   Web of Science ®Google Scholar
• Romero, D., M. Flores, M. Herrera, and H. Resendez. 2019b. Five management pillars for digital transformation integrating the lean thinking philosophy. In 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). doi: 10.1109/ICE.2019.8792650.
   Google Scholar
• Romero, D., P. Gaiardelli, D. Powell, T. Wuest, and M. Thürer. 2019c. Rethinking Jidoka systems under automation & learning perspectives in the digital lean manufacturing world. In 9th IFAC Conference on Manufacturing Modelling, Management and Control (MIM), Vol. 52, 899–903. doi: 10.1016/j.ifacol.2019.11.309.
   Google Scholar
• Romero, D., P. Gaiardelli, T. Wuest, D. Powell, and M. Thurer. 2020. New forms of Gemba walks and their digital tools in the digital lean manufacturing world. In IFIP International Conference on Advances in Production Management Systems. Vol. 592, 432–40.
   Google Scholar
• Rosin, F., P. Forget, S. Lamouri, and R. Pellerin. 2021. Impact of Industry 4.0 on decision-making in an operational context. Advances in Production Engineering & Management 16 (4):500–14. doi: 10.14743/apem2021.4.416.
   Web of Science ®Google Scholar
• Rosin, F., F. Magnani, L. Joblot, P. Forget, R. Pellerin, and L. Samir. 2022. Lean 4.0: Typology of scenarios and case studies to characterize Industry 4.0 autonomy model. In 10th IFAC Conference on Manufacturing Modelling, Management and Control, Nantes, France.
   Google Scholar
• Rossini, M., F. Costa, G. Tortorella, and A. Portioli-Staudacher. 2019. The interrelation between Industry 4.0 and Lean Production: An empirical study on European manufacturers. The International Journal of Advanced Manufacturing Technology 102 (9–12):3963–76. doi: 10.1007/s00170-019-03441-7.
   Web of Science ®Google Scholar
• Royal Literary Fund. 2022. Academic writing. Accessed July 29, 2022. https://www.rlf.org.uk/resources/academic-writing/
   Google Scholar
• Rudnick, M., J. Riezebos, D. J. Powell, and A. Hauptvogel. 2020. Effective after-sales services through the lean servitization canvas. International Journal of Lean Six Sigma 11 (5):929–42. doi: 10.1108/IJLSS-07-2017-0082.
   Web of Science ®Google Scholar
• Ruths, D., and F. Al Zama. 2010. A method for the automated, reliable retrieval of publication-citation records. PloS One 5 (8):e12133.
   Web of Science ®Google Scholar
• Rüttiman, B., and M. Stöckli. 2016. Lean and Industry 4.0 – Twins, partners, or contenders? A due clarification regarding the supposed clash of two production systems. Journal of Service Science and Management 09 (06):485–500. doi: 10.4236/jssm.2016.96051.
   Google Scholar
• Sá, J., L. Ferreira, T. Dieguez, J. Sá, and F. da Silva. 2022. Industry 4.0 in the wine sector – Development of a decision support system based on simulation models. Innovations in Industrial Engineering. doi: 10.1007/978-3-030-78170-5_32.
   Google Scholar
• Saberi, S., M. Kouhizadeh, J. Sarkis, and L. Shen. 2019. Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research 57 (7):2117–35. doi: 10.1080/00207543.2018.1533261.
   Web of Science ®Google Scholar
• Salvadorinho, J., and L. Teixeira. 2020. The bilateral effects between Industry 4.0 and Lean: Proposal of a framework based on literature review. In Proceedings of 5th North American Industrial Engineering and Operations Management Conference (IE&OM). Vol. 643, 654, Detroit, MI.
   Google Scholar
• Sanders, A., C. Elangeswaran, and J. Wulfsberg. 2016. Industry 4.0 implies lean manufacturing: Research activities in Industry 4.0. Journal of Industrial Engineering and Management 9 (3):811–33. doi: 10.3926/jiem.1940.
   Google Scholar
• Santos, G., J. Sá, M. Felix, L. Barreto, F. Carvalho, M. Doiro, K. Zgodavová, and M. Stefanović. 2021. New needed quality management skills for quality managers 4.0. Sustainability 13 (11):6149. doi: 10.3390/su13116149.
   Web of Science ®Google Scholar
• Sassanelli, C., M. Rossi, and S. Terzi. 2020. Evaluating the smart maturity of manufacturing companies along the product development process to set a PLM project roadmap. International Journal of Product Lifecycle Management 12 (3):185–209. doi: 10.1504/IJPLM.2020.109789.
   Google Scholar
• Saurin, T., G. Tortorella, M. Soliman, and J. Garza-Reyes. 2020. Lean production myths: An exploratory study. Journal of Manufacturing Technology Management 32 (1):1–19. doi: 10.1108/JMTM-08-2020-0302.
   Web of Science ®Google Scholar
• Shah, R., and P. Ward. 2003. Lean manufacturing: Context, practice bundles, and performance. Journal of Operations Management 21 (2):129–49. doi: 10.1016/S0272-6963(02)00108-0.
   Web of Science ®Google Scholar
• Shahin, M., F. Chen, H. Bouzary, and K. Krishnaiyer. 2020. Integration of Lean practices and Industry 4.0 technologies: Smart manufacturing for next-generation enterprises. The International Journal of Advanced Manufacturing Technology 107 (5–6):2927–36. doi: 10.1007/s00170-020-05124-0.
   Web of Science ®Google Scholar
• Sharma, A., A. Jamwal, and R. Agrawal. 2020. Indicators to supply chain management in Indian additive manufacturing industries. In Proceedings of National Conference on Recent Advances in Engineering, Udaipur, India.
   Google Scholar
• Sharoff, L. 2008. Critique of the critical incident technique. Journal of Research in Nursing 13 (4):301–9. doi: 10.1177/1744987107081248.
   Google Scholar
• Shetty, S. 2018. Determining sample size for qualitative research: What is the magical number. InterQ. Accessed June 9, 2022. https://interq-research.com/determining-sample-size-for-qualitative-research-what-is-the-magical-number/
   Google Scholar
• Shively, R., and C. Ryan. 2013. Longitudinal changes in college math students’ implicit theories of intelligence. Social Psychology of Education 16 (2):241–56. doi: 10.1007/s11218-012-9208-0.
   Web of Science ®Google Scholar
• Shook, J., and J. Womack. 2008. Manlaging to learn. Cambridge, MA: LEI.
   Google Scholar
• Singh, K., and S. Jha. 2021. Lean manufacturing – an analysis approach towards Industry 4.0. In Proceedings of the IEEE International Conference on Smart Electronics and Communication (ICOSEC), 1690–5.
   Google Scholar
• Slim, R., R. Houssin, M. Hanifi, A. Coulibaly, and H. Chibane. 2021. Framework for resolving problems resulting from Lean integration from the early design phases of production of 3D printing machines. FME Transactions 49 (2):279–90. doi: 10.5937/fme2102279S.
   Web of Science ®Google Scholar
• Solheim, A., and D. Powell. 2020. A learning roadmap for digital Lean manufacturing. In IFIP International Conference on Advances in Production Management Systems. Vol. 592, 417–24.
   Google Scholar
• Sony, M., J. Antony, and O. McDermott. 2022. How do the technological capability and strategic flexibility of an organisation impact its successful implementation of Industry 4.0? A qualitative viewpoint. Benchmarking: An International Journal doi: 10.1108/BIJ-09-2021-0541.
   Web of Science ®Google Scholar
• Spear, S. 2004. Learning to lead at Toyota. Harvard Business Review 82 (5):78–86, 151.
   PubMed Web of Science ®Google Scholar
• Stentoft, J., and C. Rajkumar. 2020. The relevance of Industry 4.0 and its relationship with moving manufacturing out, back and staying at home. International Journal of Production Research 58 (10):2953–73. doi: 10.1080/00207543.2019.1660823.
   Web of Science ®Google Scholar
• Stojanović, A. 2022. Knowledge mapping of research on Industry 4.0: A visual analysis using. CiteSpace. Serbian Journal of Management 17:1:125–143.
   Web of Science ®Google Scholar
• Suleiman, Z., S. Shaikholla, D. Dikhanbayeva, E. Shehab, and A. Turkyilmaz. 2022. Industry 4.0: Clustering of concepts and characteristics. Cogent Engineering 9 (1):2034264. doi: 10.1080/23311916.2022.2034264.
   Web of Science ®Google Scholar
• Synnes, E., and T. Welo. 2016. Enhancing integrative capabilities through Lean product and process development. In 6th CIRP Conference on Learning Factories.
   Google Scholar
• Szász, L., K. Demeter, B.-G. Rácz, and D. Losonci. 2020. Industry 4.0: A review and analysis of contingency and performance effects. Journal of Manufacturing Technology Management 32 (3):667–94. doi: 10.1108/JMTM-10-2019-0371.
   Web of Science ®Google Scholar
• Tasmin, R., N. Rahman, I. Ja’afar, N. Aziati, and Y. Ngadiman. 2020. The readiness of automotive manufacturing company on Industry 4.0 towards quality performance. International Journal of Integrated Manufacturing 12:7.
   Google Scholar
• Tennant, C., and P. Roberts. 2000. Hoshin Kanri: A technique for strategic quality management. Quality Assurance (San Diego, Calif.) 8 (2):77–90. doi: 10.1080/105294100317173862.
   PubMedGoogle Scholar
• Tissir, S., C. Anass, A. Chiarini, E. Said, and S. Bag. 2022. Lean Six Sigma and Industry 4.0 combination: Scoping review and perspectives. Total Quality Management and Business Excellence:1–30. doi: 10.1080/14783363.2022.2043740.
   Web of Science ®Google Scholar
• Tortorella, G., and D. Fettermann. 2018. Implementation of Industry 4.0 and Lean production in Brazilian manufacturing companies. International Journal of Production Research 56 (8):2975–87. doi: 10.1080/00207543.2017.1391420.
   Web of Science ®Google Scholar
• Tortorella, G., D. Fettermann, A. Frank, and G. Marodin. 2018. Lean manufacturing implementation: Leadership styles and contextual variables. International Journal of Operations & Production Management 38 (5):1205–27. doi: 10.1108/IJOPM-08-2016-0453.
   Web of Science ®Google Scholar
• Tortorella, G., F. Fogliatto, P. Cauchick-Miguel, S. Kurnia, and D. Jurburg. 2021. Integration of Industry 4.0 technologies into total productive maintenance practices. International Journal of Production Economics 240:108224. doi: 10.1016/j.ijpe.2021.108224.
   Web of Science ®Google Scholar
• Tortorella, G., F. Fogliatto, S. Gao, and T. K. Chan. 2022. Contributions of Industry 4.0 to supply chain resilience. The International Journal of Logistics Management 33 (2):547–66. doi: 10.1108/IJLM-12-2020-0494.
   Web of Science ®Google Scholar
• Tortorella, G., R. Giglio, and D. van Dun. 2019. Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement. International Journal of Operations & Production Management 39 (6–8):860–86. doi: 10.1108/IJOPM-01-2019-0005.
   Web of Science ®Google Scholar
• Tortorella, G. L., N. Pradhan, E. Macias de Anda, S. Trevino Martinez, R. Sawhney, and M. Kumar. 2020. Designing Lean value streams in the fourth industrial revolution era: Proposition of technology-integrated guidelines. International Journal of Production Research 58 (16):5020–33. doi: 10.1080/00207543.2020.1743893.
   Web of Science ®Google Scholar
• Tortorella, G., T. Saurin, P. Hines, J. Antony, and D. Samson. 2023. Myths and facts of Industry 4.0. International Journal of Production Economics 255:108660. doi: 10.1016/j.ijpe.2022.108660108660.
   Web of Science ®Google Scholar
• Tranfield, D., D. Denyer, and P. Smart. 2003. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management 14 (3):207–22. doi: 10.1111/1467-8551.00375.
   Web of Science ®Google Scholar
• Trist, E., and K. Bamforth. 1951. Some social and psychological consequences of the longwall method of coal getting. Human Relations 4 (1):3–38. doi: 10.1177/001872675100400101.
   Web of Science ®Google Scholar
• Ullrich, A., M. Teichmann, and N. Gronau. 2022. Multimodal human-machine interaction for supporting older employees’ learning processes by age-appropriate dialog design. In 12th Conference on Learning Factories (CLF2022).
   Google Scholar
• Villalba-Díez, J., M. Molina, J. Ordieres-Meré, S. Sun, D. Schmidt, and W. Wellbrock. 2020. Geometric deep learning: Deep learning in Industry 4.0 cyber-physical complex networks. Sensors. 20 (3):763. doi: 10.3390/s20030763.
   Web of Science ®Google Scholar
• Wankhede, V. A., and S. Vinodh. 2022. Benchmarking Industry 4.0 readiness evaluation using fuzzy logic approaches. Benchmarking: An International Journal 3:10. doi: 10.1108/BIJ-08-2021-0505.
   Google Scholar
• Waschull, S., J. Bokhorst, J. Wortmann, and E. Molleman. 2022. The redesign of blue-and white-collar work triggered by digitization: Collar matters. Computers & Industrial Engineering 165:107910. doi: 10.1016/j.cie.2021.107910.
   Web of Science ®Google Scholar
• White, M., and E. Marsh. 2006. Content analysis: A flexible methodology. Library Trends 55 (1):22–45. doi: 10.1353/lib.2006.0053.
   Web of Science ®Google Scholar
• Witcher, B. 2003. Policy management of strategy. Strategic Change 12 (2):83–94. doi: 10.1002/jsc.617.
   Google Scholar
• Womack, J., and D. Jones. 1996. Lean thinking: Banish waste and create wealth in your corporation. Simon & Schuster, New York.
   Google Scholar
• Womack, J., D. Jones, and D. Roos. 1991. The machine that changed the world. HarperCollins, New York.
   Google Scholar
• World Economic Forum. 2019. Fourth industrial revolution – Beacons of technology and innovation in manufacturing. Cologny/Geneva. Accessed July 29, 2022. https://www.weforum.org/whitepapers/fourth-industrial-revolution-beacons-of-technology-and-innovation-in-manufacturing/
   Google Scholar
• Wuest, T., D. Romero, M. Khan, and S. Mittal. 2022. The triple bottom line of smart manufacturing technologies: An economic, environmental, and social perspectives. In The Routledge handbook of smart technology.
   Google Scholar
• Yang, C., S. Lan, Z. Zhao, M. Zhang, W. Wu, and G. Q. Huang. 2022. Edge-cloud blockchain and IoE-enabled quality management platform for perishable supply chain logistics. IEEE Internet of Things Journal 99:1-1. doi: 10.1109/JIOT.2022.3142095.
   Google Scholar
• Zhe, D., W. Qinghong, S. Naizheng, and Z. Yuhan. 2017. Study on data security policy based on cloud storage. In IEEE 3rd International Conference on Big Data Security on Cloud. doi: 10.1109/BigDataSecurity.2017.12.
   Google Scholar
• Zokaei, K., H. Lovins, A. Wood, and P. Hines. 2013. Creating a lean and green business system: Techniques for improving profits and sustainability. Boca Raton, FL: CRC Press.
   Google Scholar