Smart manufacturing maturity assessment: a Turkish case study in glass balcony manufacturing enterprise

References

• Kusiak A. Smart manufacturing. Int J P Res. 2018;56(1–2):508–517. doi: 10.1080/00207543.2017.1351644
   Web of Science ®Google Scholar
• Akyuz GA, Gursoy G. Transformation of supply chain activities in Blockchain environment in digital business strategies in Blockchain ecosystems: transformational design and future of global business. Umit Hacıoglu, Edited By. Springer;2019pp. 153–175. doi: 10.1007/978-3-030-29739-8_8
   Google Scholar
• Mittal S, Khan MA, Purohit JK, et al. A smart manufacturing adoption framework for SMEs. Int J P Res. 2020;58(5):1555–1573. doi: 10.1080/00207543.2019.1661540
   Web of Science ®Google Scholar
• Romero M, Guédria W, Panetto H, et al. Towards a characterisation of smart systems: a systematic literature review. Comput Ind. 2020;120:103224. doi: 10.1016/j.compind.2020.103224
   Web of Science ®Google Scholar
• Contieri PG, Anholon R, SantaEulalia LA. Industry 4.0 enabling technologies in manufacturing: implementation priorities and difficulties in an emerging country. Technol Anal Strateg Manag. 2022;34(5):489–503. doi: 10.1080/09537325.2021.1908536
   Web of Science ®Google Scholar
• Bravi L, Murmura F. Industry 4.0 enabling technologies as a tool for the development of a competitive strategy in Italian manufacturing companies. J Eng Technol Manage. 2021;60:101624. doi: 10.1016/j.jengtecman.2021.101629
   Web of Science ®Google Scholar
• Barata J. The fourth industrial revolution of supply chains: a tertiary study. J Eng Technol Manage. 2021;60:101629. doi: 10.1016/j.jengtecman.2021.101624
   Web of Science ®Google Scholar
• Co J, Kim E, Jeong I. Adoption of the 4th industrial revolution: evidence from Korean exporters in international markets. Asian Bus Manag. 2021. doi: 10.1057/s41291-021-00159-x
   Web of Science ®Google Scholar
• Feng Q, Shanthikumar JG. How research in production and operations management may evolve in the era of big data. Prod Oper Manage. 2018;27(9):1670–1684. doi: 10.1111/poms.12836
   Web of Science ®Google Scholar
• Hastig G, Sothi MS. Blockchain for supply chain traceability: business requirements and critical success factors. Prod Oper Manage. 2020;29(4):935–954. doi: 10.1111/poms.13147
   Web of Science ®Google Scholar
• Choi T-M, Kumar S, Yue X, et al. Disruptive technologies and operations management in the Industry 4.0 era and beyond. Prod Oper Manage. 2022;31(1):9–31. doi: 10.1111/poms.13622
   Web of Science ®Google Scholar
• Whang Z, Zheng Z, Jiang W, et al. Blockchain-enabled data sharing in supply chains: model, operationalization, and tutorial. Production & Oper Manag. 2021;30(7):1965–1985. doi: 10.1111/poms.13356
   Web of Science ®Google Scholar
• Gajo AHA A Managerial roadmap development for Industry 4.0-based smart manufacturing enterprise: A study in Turkish Automotive Sector. University of Turkish Aeronautical Association, PhD Thesis, 2021.
   Google Scholar
• Zhang W, Wu X, Tang CS, et al. Evolution of operations management research: from managing flows to building capabilities. Prod Oper Manage. 2020;29(10):2219–2229. doi: 10.1111/poms.13231
   Web of Science ®Google Scholar
• Peters S, Chun JH, Lanza G. Digitalization of automotive industry–scenarios for future manufacturing. Manufacturing Rev. 2015;3:1–8. doi: 10.1051/mfreview/2015030
   Google Scholar
• Salkin C, Oner M, Ustundag A, et al. A conceptual framework for Industry 4.0. Managing the digital transformation. Cham: Springer; 2018. doi: 10.1007/978-3-319-57870-5_1
   Google Scholar
• Dalenogare LS, Benitez GB, Ayala NF, et al. The expected contribution of Industry 4.0 technologies for industrial performance. Int J Prod Econ. 2018;204:383–394. doi: 10.1016/j.ijpe.2018.08.019
   Web of Science ®Google Scholar
• Xia Q, Jiang C, Yang C, et al. A method towards smart manufacturing capabilities and performance measurement. Procedia Manuf. 2019;39:851–858. doi: 10.1016/j.promfg.2020.01.415
   Google Scholar
• Ding Y, Jin M, Li S, et al. Smart logistics based on the internet of things technology: an overview. Int J Logist. 2021;24(4):323–345. doi: 10.1080/13675567.2020.1757053
   Web of Science ®Google Scholar
• Tao F, Zhang M. Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing. IEEE Access. 2017;5:20418–20427. doi: 10.1109/ACCESS.2017.2756069
   Web of Science ®Google Scholar
• Kahle JH, Marcon É, Ghezzi A, et al. Smart products value creation in SMEs innovation ecosystems. Technol Forecast Soc Change. 2020;156(120024):1–14. doi: 10.1016/j.techfore.2020.120024
   Google Scholar
• Lin TC, Sheng ML, Jeng Wang K. Dynamic capabilities for smart manufacturing transformation by manufacturing enterprises. Asian J Technol Innov. 2020;28(3):403–426. doi: 10.1080/19761597.2020.1769486
   Web of Science ®Google Scholar
• Thoben KD, Wiesner S, Wuest T. Industrie 4.0” and smart manufacturing-a review of research issues and application examples. Int J Autom Tech. 2017;11(1):4–16. doi: 10.20965/ijat.2017.p0004
   Google Scholar
• Jadoon G, Ud Din I, Almogren A, et al. Smart and agile manufacturing framework, a case study for automotive industry. Energies. 2020;13(21):5766. doi: 10.3390/en13215766
   Web of Science ®Google Scholar
• Elia G, Margherita A. A conceptual framework for the cognitive enterprise: pillars, maturity, value drivers. Technol Anal Strateg Manag. 2021;34(4):377–389. doi: 10.1080/09537325.2021.1901874
   Web of Science ®Google Scholar
• Nitsche AM, Schumann C A, Franczyk B, et al. Mapping supply chain collaboration research: a machine learning-based literature review. Int J Logist. 2023;26(8): 954–982 doi: 10.1080/13675567.2021.2001446
   Web of Science ®Google Scholar
• Rahamaddulla SRB, Leman Z, Baharudin BH, et al. Conceptualizing smart manufacturing readiness-maturity model for small and medium enterprise (SME) in Malaysia. Sustainability. 2021;13(17):9793. doi: 10.3390/su13179793
   Web of Science ®Google Scholar
• Lichtblau K, Stich V, Bertenrath R, et al. IMPULS-Industrie 4.0-Readiness, Impuls-Stiftung des VDMA, 2015, Aachen-Köln.
   Google Scholar
• Akdil KY, Ustundag A, Cevikcan E. Maturity and readiness model for industry 4.0 strategy. In: Industry 4.0: managing the digital transformation. Cham: Springer International Publishing; 2018. pp. 61–94. doi: 10.1007/978-3-319-57870-5_4
   Google Scholar
• Geissbauer R, Vedsø J, Schrauf S. A strategist’s guide to industry 4.0. Strategy And Business. 2016;83:148–163.
   Google Scholar
• Schumacher A, Erol S, Sihn W. A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP. 2016;52:161–166. doi: 10.1016/j.procir.2016.07.040
   Google Scholar
• Lucato WC, Pacchini APT, Facchini F, et al. Model to evaluate Industry 4.0 readiness degree in industrial companies. IFAC PapersOnline. 2019;52(13):1808–1813. doi: 10.1016/j.ifacol.2019.11.464
   Google Scholar
• Hajoary PK. Industry 4.0 maturity and readiness models: a systematic literature review and future framework. Int J Innovation Technol Management. 2020;17(7):2030005. https://www.worldscientific.com/doi/10.1142/S0219877020300050
   Google Scholar
• Vasconcellos LG, Junior PG, Rodriges F. An industry 4.0 maturity model applied to the automotive supply chain. Revista Gestão & Tecnologia. 2021;21(4):230–258.
   Google Scholar
• Jung K, Kulvatunyou B, Choi S, et al. An overview of a smart manufacturing system readiness assessment. In IFIP International Conference on Advances in Production Management Systems. Cham: Springer, 2016, pp. 705–712.
   Google Scholar
• Leyh C, Schäffer T, Bley K, et al. Assessing the IT and software landscapes of Industry 4.0-enterprises: the maturity model SIMMI 4.0. In: Information technology for management: new ideas and real solutions, Cham: Springer; 2016. pp. 103–119. doi: 10.1007/978-3-319-53076-5_6
   Google Scholar
• De Carolis A, Macchi M, Negri E, et al. A maturity model for assessing the digital readiness of manufacturing companies. In IFIP International Conference on Advances in Production Management Systems. 2017; pp. 13–20, Cham: Springer.
   Google Scholar
• Weber C, Königsberger J, Kassner L, et al. M2DDM–a maturity model for data-driven manufacturing. Procedia CIRP. 2017;63:173–178. doi: 10.1016/j.procir.2017.03.309
   Google Scholar
• Jæger B, Halse LL The IoT technological maturity assessment scorecard: a case study of Norwegian manufacturing companies. In IFIP International Conference on Advances in Production Management Systems. Cham: Springer, 2020; pp. 143–150.
   Google Scholar
• Klötzer C, Pflaum A Toward the development of a maturity model for digitalization within the manufacturing industry’s supply chain. Proceedings of the 50th Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii. 2017;4210–4219.
   Google Scholar
• Schuh G, Anderl R, Dumitrescu R, et al. Industrie 4.0 maturity index. Managing the digital transformation of companies. ACATECH study (updated 2020). Munich; 2020. pp. 1–64. https://en.acatech.de/publication/industrie-4-0-maturity-index-update-2020
   Google Scholar
• Santos RC, Martinho JL. An Industry 4.0 maturity model proposal. J Manuf Technol Manage. 2020;31(5):1023–1043. doi: 10.1108/JMTM-09-2018-0284
   Web of Science ®Google Scholar
• Triantaphyllou E. Multi-criteria decision making methods. In multi-criteria decision making methods: a comparative study. Boston, MA: Springer; 2020. pp. 5–21. doi: 10.1007/978-1-4757-3157-6_2
   Google Scholar
• Saaty TL. Decision making for leaders: the analytic hierarchy process for decisions in a complex world. Pıttsburg, USA: RWS publications; 2008.
   Google Scholar
• Zavadskas EK, Pamučar D, Stević Ž et al. Multi-criteria decision-making techniques for improvement. In: Sustainability engineering processes. MDPI:Switzerland. 2020;12(6):986.
   Google Scholar
• Wu C, Xu B, Mao C, et al. Overview of BIM maturity measurement tools. J Inf Technol Constr. 2017;22(3):34–62.
   Google Scholar
• Erfurth T, Bendul J. Integration of global manufacturing networks and supply chains: a cross case comparison of six global automotive manufacturers. Int J P Res. 2018;56(22):7008–7030. doi: 10.1080/00207543.2018.1424370
   Web of Science ®Google Scholar
• Krasniqi X, Hajrizi E. Use of IoT technology to drive the automotive industry from connected to full autonomous vehicles. IFAC-Papersonline. 2016;49(29):269–274. doi: 10.1016/j.ifacol.2016.11.078
   Google Scholar
• Rahim MA, Rahman MA, Rahman MM, et al. Evolution of IoT-enabled connectivity and applications in automotive industry: a review. Vehicular Commun. 2021;27:100285. doi: 10.1016/j.vehcom.2020.100285
   Web of Science ®Google Scholar
• Li K, Zhou T, Liu B-H, et al. Internet-based intelligent and sustainable manufacturing: developments and challenges. Int J Adv Manuf Technol. 2020;108(5–6):1767–1791. doi: 10.1007/s00170-020-05445-0
   Web of Science ®Google Scholar