Investigating the level of readiness of intercity rail transportation for the implementation and establishment of Industry 4.0 (Case study: Tehran Metro)

Document Type : Original Article

Authors
Pejman Salehi 1
Mehran Khalaj 2
Davood Jafari 2
1 Assistant Professor, Faculty of Industrial Engineering, Islamic Azad University, Parand Branch, Tehran, Iran.
2 Associate Professor, Faculty of Industrial Engineering, Islamic Azad University, Parand Branch, Tehran, Iran.
10.22034/road.2024.436207.2242
Abstract
One of the important strategies for the development and smartening of today's cities, which provides the basis for improving the performance of urban management in the public transportation sector, is the implementation and establishment of Industry 4.0. This strategy is mainly proposed to the decision makers according to the limitations and the objective function to solve traffic problems through intercity rail transportation (metro) in the urban space. The current research examines this research question: can solutions based on composite analysis be effective as a new and optimal method in the efficiency of intercity rail transportation (metro)? In today's smart cities, the content and structural function of Industry 4.0 is in explaining customer values and the efficiency of intercity rail transportation management (metro) based on the scope of implementation, communication and innovation. Based on the theory of smart networks in intercity rail transportation, it can be acknowledged that Tehran Metro will be upgraded to Industry 4.0 when its internal communication system is strengthened and technological innovation is formed based on existing infrastructure and innovative platforms. Therefore, the present research has provided a model to measure the level of readiness of Tehran Metro for the establishment of Industry 4.0. In this research, measurement scales in Industry 4.0 based on the research methodology relied on a combined approach.
Keywords
Industry 4.0
Tehran Metro
Digital Readines
Maturity
-Agostini, L., Nosella, A., (2022). The adoption of Industry 4.0 technologies in SMEs: results of an international study. Manag. Decis. 58, 625–643.doi.org/10. 1108/MD-09-2018-0973
-Benitez, G.B., Ayala, N.F., Frank, A.G., (2023). Industry 4.0 innovation ecosystems: an evolutionary perspective on value cocreation. Int. J. Prod. Econ. 228, 107735.doi.org/10.1016/j.ijpe.2020.107735
-Björkdahl, J., (2023). Strategies for digitalization in manufacturing firms. Calif. Manag. Rev. 62, 17–36.
doi.org/10.1177/0008125620920349
-Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M., (2017). How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 perspective. Int. J. Inf. Commun. Eng. 8, 37–44. doi.org/10. 1016/j.procir.2015.02.213
-Calabrese, A., Levialdi Ghiron, N., Tiburzi, L., (2023). ‘Evolutions’ and ‘revolutions’ in manufacturers’ implementation of industry 4.0: a literature review, a multiple case study, and a conceptual framework. Prod. Plan. Control. doi.org/10. 1080/09537287.2020.1719715
-Castelo-Branco, I., Cruz-Jesus, F., Oliveira, T., (2022). Assessing Industry 4.0 readiness in manufacturing: evidence for the European Union. Comput. Ind. 107, 22–32. doi.org/10.1016/j.compind.2019.01.007
-Chiarello, F., Trivelli, L., Bonaccorsi, A., Fantoni, G., (2021). Extracting and mapping industry 4.0 technologies using wikipedia. Comput. Ind. 100, 244–257.doi.org/10.1016/j.compind.2018.04.006
-Culot, G., Nassimbeni, G., Orzes, G., Sartor, M., (2023). Behind the definition of Industry 4.0: analysis and open questions. Int. J. Prod. Econ. 226, 55.doi.org/10.1016/j.ijpe.2020.107617
-Dallasega, P., Rauch, E., Linder, C., (2021). Industry 4.0 as an enabler of proximity for construction supply chains: a systematic literature review. Comput. Ind. 99, 205–225. doi.org/10.1016/j.compind.2018.03.039
-Elibal, K., Özceylan, E., (2021). A systematic literature review for industry 4.0 maturity modeling: state-of-the-art and future challenges. Kybernetes 50, 2957–2994. doi.org/10.1108/K-07-2020-0472
-Fernandez-Carames, T.M., Fraga-Lamas, P., (2021). A review on human-centered IoTconnected smart labels for the Industry 4.0. IEEE Access 6, 25939–25957.doi.org/10.1109/ACCESS.2018.2833501
-Frank, A.G., Mendes, G.H.S., Ayala, N.F., Ghezzi, A., (2022). Servitization and Industry 4.0 convergence in the digital transformation of product firms: a business model innovation perspective. Technol. Forecast. Soc. Change 141, 341–351.
doi.org/10.1016/j.techfore.2019.01.014
-Zheng, T., Ardolino, M., Bacchetti, A., Perona, M., Zanardini, M., (2023). The impacts of Industry 4.0: a descriptive survey in the Italian manufacturing sector. J. Manuf. Technol. Manag. 31 (5), 1085–1115. doi.org/10.1108/JMTM-08-2018-0269
-Geissbauer R. , Vedso J. , Schrauf S. , PWC, Industry 4.0: building the digital enterprise 2019 global industry 4.0 survey, (2019). ⟨www.pwc.com/industry40⟩.
-Gillani, F., Chatha, K.A., Jajja, M.S.S., Farooq, S., (2023). Implementation of digital manufacturing technologies. Antecedents and consequences. Int. J. Prod. Econ.doi.org/10.1016/j.ijpe.2020.107748
-Götz, M., (2023). Cluster role in industry 4.0 – a pilot study from Germany. Compet. Rev. 31, 54–82. doi.org/10.1108/CR-10-2019-0091
-Hermann M. , Pentek T. , Otto B. , Design principles for industrie 4.0 scenarios, Proc. Annu. Hawaii Int. Conf. Syst. Sci. 2019-March (2019) 3928–3937.doi.org/10.1109/HICSS.2016.488
-Horváth, D., Szabó, R.Z., 2022. Driving forces and barriers of Industry 4.0: do multinational and small and medium-sized companies have equal opportunities? Technol. Forecast. Soc. Change 146, 119–132.
doi.org/10.1016/j.techfore.2019.05.021
-Kaasinen, E., Schmalfuß, F., Özturk, C., Aromaa, S., Boubekeur, M., Heilala, J., Heikkilä, P., Kuula, T., Liinasuo, M., Mach, S., Mehta, R., Petäjä, E., Walter, T., 2023. Empowering and engaging industrial workers with Operator 4.0 solutions. Comput. Ind. Eng. 139, 105678.doi.org/10.1016/j.cie.2019.01.052
-Kagermann, W. Wahlster, J. Helbig, (2020). Recommendations for implementing the strategic initiative INDUSTRIE 4.0, doi.org/10.13140/RG.2.1.1205.8966
-Leyh C. , Bley K. , Schaffer T. , Forstenhausler S. , SIMMI 4.0-a (2019). maturity model for classifying the enterprise-wide it and software landscape focusing on Industry 4. 0, Proc. 2016 Fed. Conf. Comput. Sci. Inf. Syst. FedCSIS 2019. 1297–1302. doi.org/10.15439/2016F478
-Liboni, L.B., Cezarino, L.O., Jabbour, C.J.C., Oliveira, B.G., Stefanelli, N.O., (2022). Smart industry and the pathways to HRM 4.0: implications for SCM. Supply Chain Manag. 24, 124–146.doi.org/10.1108/SCM-03-2018-0150
-Lichtblau K. , Stich V. , Bertenrath R. , Blum M. , Bleider M. , Millack A. , Schmitt K. , E.S./ M. Schröter, Industrie 4.0 Readiness, (2018). ⟨https://industrie40.vdma.org/documents/4214230/26342484/Industrie_40_Readiness_Study_1529498007918.pdf⟩.
-Luftman, J., Lyytinen, K., Zvi, T., (2020). Enhancing the measurement of information technology (IT) business alignment and its influence on company performance. J. Inf. Technol. 32, 26–46.doi.org/10.1057/jit.2015.23
-Mariani, M., Borghi, M., (2022). Industry 4.0: a bibliometric review of its managerial intellectual structure and potential evolution in the service industries. Technol. Forecast. Soc. Change 149, 119752.
doi.org/10.1016/j.techfore.2019.119752 Mithas, S., Rust, R.T., 2016. How information technology strategy and investments influence firm performance: conjecture and empirical evidence. MIS Q 40, 223–245.
-Mittal, S., Khan, M.A., Romero, D., Wuest, T., (2021). A critical review of smart manufacturing & Industry 4.0 maturity models: implications for small and mediumsized enterprises (SMEs). J. Manuf. Syst. 49,
194–214. doi.org/10.1016/j.jmsy.2018.10.005
-Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., Eburdy, R., (2023). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs.Int. J. Prod. Res. 58, 1384–1400.
doi.org/10.1080/00207543.2019.1636323
-Müller, J.M., (2022). Business model innovation in small- and medium-sized enterprises: strategies for industry 4.0 providers and users. J. Manuf. Technol. Manag 30, 1127–1142.doi.org/10.1108/JMTM-01-2018-0008
 -Muscio, A., Ciffolilli, A., 2023. What drives the capacity to integrate Industry 4.0 technologies? Evidence from European R&D projects. Econ. Innov. New. Technol. 29, 169–183. doi.org/10.1080/10438599.2019.1597413
-Oesterreich, T.D., Teuteberg, F., )2019(. Understanding the implications of digitization and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry. Comput. Ind. 83, 121–139.doi.org/10.1016/j.compind.2016.09.006
-Pacchini, A.P.T., Lucato, W.C., Facchini, F., Mummolo, G., 2022. The degree of readiness for the implementation of Industry 4.0. Comput. Ind. 113, 103125.doi.org/10.1016/j.compind.2019.103125
-Palinkas, L.A., Horwitz, S.M., Green, C.A., Wisdom, J.P., Duan, N., Hoagwood, K., (2018). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm. Policy Ment. Heal. Ment. Heal. Serv. Res. 42, 533–544. doi.org/10.1007/s10488-013-0528-y
-Pejic-Bach, M., Bertoncel, T., Meško, M., Krstić, Ž., (2023). Text mining of industry 4.0 job advertisements. Int. J. Inf. Manag. 50, 416–431. doi.org/10.1016/j.ijinfomgt.2019.07.014
-Pencarelli, T., (2023). The digital revolution in the travel and tourism industry. Inf. Technol. Tour. 22, 455–476.
doi.org/10.1007/s40558-019-00160-3
-Peppard, J., Ward, J., (2014). Beyond strategic information systems: towards an IS capability. Strateg. Inf. Syst. 13, 167–194.
 doi.org/10.1016/j.jsis.2004.02.002
-Probst L.­, Lefebvre V.­, Martinez-Diaz C.­, Bohn­, PwC N.U.­, Kitou D.­, Conrads J.­, CARSA, Digital Transformation Scoreboard 2018 EU businesses go digital: opportunities, outcomes anduptake, (2021).doi.org/10.2826/691861
-Qin, J., Liu, Y., Grosvenor, R., (2019). A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia CIRP 52, 173–178. doi.org/10.1016/j.procir.2016.08.005