PILLARS IN THE MAKING, INDUSTRY 4.0 ON THE HORIZON
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
Industry 4.0 (I4.0) marks a new era in manufacturing and has attracted notable attention from practitioners and researchers. Current production processes are being transformed towards interconnecting the elements of manufacturing systems as a result of digitization. Adopting new technologies is an indispensable practice to compete and sustain business concerns. In this paper, the Analytical Hierarchy Process (AHP), a multi-criteria decision-making methodology, is employed to evaluate and weigh the nine pillars that are the building blocks of an I4.0 system. The assessment model suggests three dimensions, nine pillars, and thirty-four sub-pillars which are evaluated by fourteen I4.0 professionals responding to a pairwise questionnaire. The results are important as they reflect the opinions of the professionals and can help define strategies for companies investing in I4.0 technologies by elucidating the relative impacts of factors in an I4.0 environment.
How to Cite
Downloads
##plugins.themes.bootstrap3.article.details##
Industry 4.0, nine pillars, Cyber-Physical Systems, Industrial Internet of Things, Multi-Criteria Decision-Making, AHP
Akman, E., & Dagdeviren, M. (2018). Discovering what makes a SME website good for international trade. Technological and Economic Development of Economy, 24(3), 1063-1079. Doi: https://doi.org/10.3846/20294913.2016.1266709
Alcácer, V., & Cruz-Machado, V. (2019). Scanning the Industry 4.0: A literature review on technologies for manufacturing systems. Engineering Science and Technology, an International Journal, 22(3), 899-919. Doi: https://doi.org/10.1016/j.jestch.2019.01.006
Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of Innovation Management, 3(4), 16-21. Doi: https://doi.org/10.24840/2183-0606_003.004_0003
Bahrin, M. A. K., Othman, M. F., Azli, N. N., & Talib, M. F. (2016). Industry 4.0: A review on industrial automation and robotic. Jurnal Teknologi, 78(6-13), 137-143. Doi: https://doi.org/10.11113/jt.v78.9285
Bai, C., Dallasega, P., Orzes, G., & Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Economics, 229, 107776. Doi: https://doi.org/10.1016/j.ijpe.2020.107776
Blanco-Novoa, O., Fernandez-Carames, T. M., Fraga-Lamas, P., & Vilar-Montesinos, M. A. (2018). A practical evaluation of commercial industrial augmented reality systems in an industry 4.0 shipyard. IEEE Access, 6, 8201-8218. Doi: https://doi.org/10.1109/access.2018.2802699
Bordeleau, F. E., Mosconi, E., & Santa-Eulalia, L. A. (2018, January). Business Intelligence in Industry 4.0: State of the art and research opportunities. In Proceedings of the 51st Hawaii International Conference on System Sciences. Doi: https://doi.org/10.24251/HICSS.2018.495
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An industry 4.0 perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1), 37-44. Doi: https://doi.org/10.5281/zenodo.1336426
Calabrese, A., Levialdi Ghiron, N., & Tiburzi, L. (2020). ‘Evolutions’ and ‘revolutions’ in manufacturers’ implementation of industry 4.0: a literature review, a multiple case study, and a conceptual framework. Production Planning & Control, 1-15. Doi: https://doi.org/10.1080/09537287.2020.1719715
Chong, L., Ramakrishna, S., & Singh, S. (2018). A review of digital manufacturing-based hybrid additive manufacturing processes. The International Journal of Advanced Manufacturing Technology, 95(5-8), 2281-2300. Doi: https://doi.org/10.1007/s00170-017-1345-3
Contreras-Masse, R., Ochoa-Zezzatti, A., García, V., & Pérez-Dominguez, L. (2020). Implementing a novel use of multicriteria decision analysis to select IIoT platforms for smart manufacturing. Symmetry, 12(3), 368. Doi: https://doi.org/10.3390/sym12030368
Da Silva, V. L., Kovaleski, J. L., & Pagani, R. N. (2019). Technology transfer in the supply chain oriented to industry 4.0: a literature review. Technology Analysis & Strategic Management, 31(5), 546-562. Doi: https://doi.org/10.1080/09537325.2018.1524135
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383-394. Doi: https://doi.org/10.1016/j.ijpe.2018.08.019
Deloitte Development LLC (Firm). (2020). The fourth industrial revolution: at the intersection of readiness and responsibility.
Dopico, M., Gomez, A., De la Fuente, D., García, N., Rosillo, R., & Puche, J. (2016). A vision of industry 4.0 from an artificial intelligence point of view. In Proceedings on the International Conference on Artificial Intelligence (ICAI) (p. 407). The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
Erdogan, M., Ozkan, B., Karasan, A., & Kaya, I. (2018). Selecting the best strategy for industry 4.0 applications with a case study. In Industrial engineering in the industry 4.0 era (pp. 109-119). Springer, Cham.
Flatt, H., Schriegel, S., Jasperneite, J., Trsek, H., & Adamczyk, H. (2016). Analysis of the cyber-security of industry 4.0 technologies based on RAMI 4.0 and identification of requirements. In 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1-4). IEEE. Doi: https://doi.org/10.1109/ETFA.2016.7733634
Fraga-Lamas, P., Fernández-Caramés, T. M., Blanco-Novoa, Ó., & Vilar-Montesinos, M. A. (2018). A review on industrial augmented reality systems for the industry 4.0 shipyard. IEEE Access, 6, 13358-13375. Doi: https://doi.org/10.1109/ACCESS.2018.2808326
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26. Doi: https://doi.org/10.1016/j.ijpe.2019.01.004
Gauvreau, R. P. (2011). Easy Access to everything-- or how the web can bring it all together. Iron & Steel Technology, 8(1), 63-69.
Ghobakhloo, M. (2020). Determinants of information and digital technology implementation for smart manufacturing. International Journal of Production Research, 58(8), 2384-2405. Doi: https://doi.org/10.1080/00207543.2019.1630775
Gilchrist, A. (2016). Industry 4.0: the industrial internet of things. Apress.
Gonzalez, A. G., Alves, M. V., Viana, G. S., Carvalho, L. K., & Basilio, J. C. (2018). Supervisory control-based navigation architecture: a new framework for autonomous robots in industry 4.0 environments. IEEE Transactions on Industrial Informatics, 14(4), 1732-1743. Doi: https://doi.org/10.1109/TII.2017.2788079
He, H., Maple, C., Watson, T., Tiwari, A., Mehnen, J., Jin, Y., & Gabrys, B. (2016). The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 1015-1021). IEEE. Doi: https://doi.org/10.1109/CEC.2016.7743900
Hermann, M., Pentek, T., & Otto, B. (2016, January). Design principles for industry 4.0 scenarios. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 3928-3937). IEEE. Doi: https://doi.org/10.1109/HICSS.2016.488
Hozdic, E. (2015). Smart factory for industry 4.0: A review. International Journal of Modern Manufacturing Technologies, 7(1), 28-35.
International Organization for Standardization (2015). Additive manufacturing -- General principles -- Terminology (ISO/ASTM 52900:2015 (ASTM F2792)). Retrieved from https://www.iso.org/standard/69669.html
Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020). Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 419-422. Doi: https://doi.org/10.1016/j.dsx.2020.04.032
Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-425. Doi: https://doi.org/10.1016/j.psep.2018.05.009
Karaman, A. S., & Akman, E. (2018). Taking-off corporate social responsibility programs: An AHP application in airline industry. Journal of Air Transport Management, 68, 187-197. Doi: https://doi.org/10.1016/j.jairtraman.2017.06.012
Kaur, H., & Singh, S. P. (2018). Heuristic modeling for sustainable procurement and logistics in a supply chain using big data. Computers & Operations Research, 98, 301-321. Doi: https://doi.org/10.1016/j.cor.2017.05.008
Kobara, K. (2016). Cyber physical security for industrial control systems and IoT. IEICE TRANSACTIONS on Information and Systems, 99(4), 787-795. Doi: https://doi.org/10.1587/transinf.2015ICI0001
Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242. Doi: https://doi.org/10.1007/s11576-014-0424-4
Lee, J., Bagheri, B., & Kao, H. A. (2014a, July). Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics. In Proceeding of International Conference on Industrial Informatics (INDIN) (pp. 1-6).
Lee, J., Kao, H. A., & Yang, S. (2014b). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia CIRP, 16, 3-8. Doi: https://doi.org/10.1016/j.procir.2014.02.001
Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609-3629. Doi: https://doi.org/10.1080/00207543.2017.1308576
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1-10. Doi: https://doi.org/10.1016/j.jii.2017.04.005
Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168-179. Doi: https://doi.org/10.1016/j.psep.2018.04.018
Manfredi, D., Calignano, F., Krishnan, M., Canali, R., Ambrosio, E. P., Biamino, S., ... & Fino, P. (2014). Additive manufacturing of Al alloys and aluminium matrix composites (AMCs). Light Metal Alloys Applications, 11, 3-34. Doi: https://doi.org/10.5772/58534
Marr, B. (2015). Big Data: 20 mind-boggling facts everyone must read. Forbes Magazine.
Marr, B. (2016). What everyone must know about industry 4.0. Forbes Tech.
Mercer, D., (2019). Global Connected and IoT Device Forecast Update Report, Strategy Analytics.
Mohammad, E., AlBarakah, L., Kudair, S., & Karaman, A. S. (2021, March). Evaluating the Industry 4.0 readiness of manufacturing companies: A case study in Kuwait. In 11th International Conference on Industrial Engineering and Operations Management, IEOM 2021, Singapore (pp. 6625-6636). IEOM Society.
Moreno, A., Velez, G., Ardanza, A., Barandiaran, I., de Infante, Á. R., & Chopitea, R. (2017). Virtualisation process of a sheet metal punching machine within the Industry 4.0 vision. International Journal on Interactive Design and Manufacturing (IJIDeM), 11(2), 365-373. Doi:10.1007/s12008-016-0319-2.
Motyl, B., Baronio, G., Uberti, S., Speranza, D., & Filippi, S. (2017). How will change the future engineers’ skills in the Industry 4.0 framework? A questionnaire survey. Procedia Manufacturing, 11, 1501-1509. Doi: https://doi.org/10.1016/j.promfg.2017.07.282
Mourtzis, D., Doukas, M., & Bernidaki, D. (2014). Simulation in manufacturing: Review and challenges. Procedia CIRP, 25, 213-229. Doi: https://doi.org/10.1016/j.procir.2014.10.032
Mourtzis, D., Zogopoulos, V., & Vlachou, E. (2017). Augmented reality application to support remote maintenance as a service in the robotics industry. Procedia CIRP, 63, 46-51. Doi: https://doi.org/10.1016/j.procir.2017.03.154
Müller, J. M., Buliga, O., & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2-17. Doi: https://doi.org/10.1016/j.techfore.2017.12.019
Negahban, A., & Smith, J. S. (2014). Simulation for manufacturing system design and operation: Literature review and analysis. Journal of Manufacturing Systems, 33(2), 241-261. Doi: https://doi.org/10.1016/j.jmsy.2013.12.007
Negri, E., Fumagalli, L., & Macchi, M. (2017). A review of the roles of digital twin in cps-based production systems. Procedia Manufacturing, 11, 939-948. Doi: https://doi.org/10.1016/j.promfg.2017.07.198
Öberseder, M., Schlegelmilch, B. B. and Murphy, P. E. (2013). CSR practices and consumer perceptions. Journal of Business Research, 66(10), 1839-1851. Doi: https://doi.org/10.1016/j.jbusres.2013.02.005
Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127-182. Doi: https://doi.org/10.1007/s10845-018-1433-8
Posada, J., Toro, C., Barandiaran, I., Oyarzun, D., Stricker, D., de Amicis, R., ... & Vallarino, I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Computer Graphics and Applications, 35(2), 26-40. Doi: https://doi.org/10.1109/MCG.2015.45
Prause, G. (2015). Sustainable business models and structures for Industry 4.0. Journal of Security & Sustainability Issues, 5(2), 159-169. Doi: https://doi.org/10.9770/jssi.2015.5.2(3)
Press, G. (2013). A very short history of big data. Forbes Tech Magazine.
Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access, 6, 3585-3593. Doi: https://doi.org/0.1109/ACCESS.2018.2793265
Rodič, B. (2017). Industry 4.0 and the new simulation modelling paradigm. Organizacija, 50(3), 193-207. Doi: https://doi.org/10.1515/orga-2017-0017
Rosa, P., Sassanelli, C., Urbinati, A., Chiaroni, D., & Terzi, S. (2020). Assessing relations between Circular Economy and Industry 4.0: a systematic literature review. International Journal of Production Research, 58(6), 1662-1687. Doi: https://doi.org/10.1080/00207543.2019.1680896
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.
Saaty, T. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. Pittsburgh PA: University of Pittsburgh.
Sadeghi, A. R., Wachsmann, C., & Waidner, M. (2015, June). Security and privacy challenges in industrial internet of things. In 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC) (pp. 1-6). IEEE. Doi: https://doi.org/10.1145/2744769.2747942
Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017). Shaping the digital twin for design and production engineering. CIRP Annals, 66(1), 141-144. Doi: https://doi.org/10.1016/j.cirp.2017.04.040
Singh, J., Garg, D., & Luthra, S. (2018). An analysis of critical success factors for Industry 4.0: An application of Analytical Hierarchy Process. Industrial Engineering Journal, 11(9), 1-15.
Sony, M., & Naik, S. (2020). Critical factors for the successful implementation of Industry 4.0: a review and future research direction. Production Planning & Control, 31(10), 799-815. Doi: https://doi.org/10.1080/09537287.2019.1691278
Stock, T., & Seliger, G. (2016). Opportunities of sustainable manufacturing in industry 4.0. Procedia CIRP, 40, 536-541. Doi: https://doi.org/10.1016/j.procir.2016.01.129
Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157-169. Doi: https://doi.org/10.1016/j.jmsy.2018.01.006
Thames, L., & Schaefer, D. (2016). Software-defined cloud manufacturing for industry 4.0. Procedia CIRP, 52, 12-17. Doi: https://doi.org/10.1016/j.procir.2016.07.041
Tofail, S. A., Koumoulos, E. P., Bandyopadhyay, A., Bose, S., O’Donoghue, L., & Charitidis, C. (2018). Additive manufacturing: Scientific and technological challenges, market uptake and opportunities. Materials Today, 21(1), 22-37. Doi: https://doi.org/10.1016/j.mattod.2017.07.001
Uhlemann, T. H. J., Lehmann, C., & Steinhilper, R. (2017). The digital twin: Realizing the cyber-physical production system for industry 4.0. Procedia CIRP, 61, 335-340. Doi: https://doi.org/10.1016/j.procir.2016.11.152
Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0–a glimpse. Procedia Manufacturing, 20, 233-238. Doi: https://doi.org/10.1016/j.promfg.2018.02.034
Vogel-Heuser, B., & Hess, D. (2016). Guest editorial industry 4.0–prerequisites and visions. IEEE Transactions on Automation Science and Engineering, 13(2), 411-413. Doi: https://doi.org/10.1109/tase.2016.2523639
Vrochidis, S., Papadopoulos, S., Moumtzidou, A., Sidiropoulos, P., Pianta, E., & Kompatsiaris, I. (2010). Towards content-based patent image retrieval: A framework perspective. World Patent Information, 32(2), 94-106. Doi: https://doi.org/10.1016/j.wpi.2009.05.010
Waidner, M., & Kasper, M. (2016, March). Security in industrie 4.0-challenges and solutions for the fourth industrial revolution. In 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1303-1308). IEEE.
Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., & Vasilakos, A. V. (2016). Software-defined industrial internet of things in the context of industry 4.0. IEEE Sensors Journal, 16(20), 7373-7380. Doi: https://doi.org/10.1109/JSEN.2016.2565621
Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards smart factory for industry 4.0: a self-organized multi-agent system with big data-based feedback and coordination. Computer Networks, 101, 158-168. Doi: https://doi.org/10.1016/j.comnet.2015.12.017
Wang, L., & Wang, G. (2016). Big data in cyber-physical systems, digital manufacturing and industry 4.0. International Journal of Engineering and Manufacturing (IJEM), 6(4), 1-8. Doi: https://doi.org/10.5815/ijem.2016.04.01
Weyer, S., Meyer, T., Ohmer, M., Gorecky, D., & Zühlke, D. (2016). Future modeling and simulation of CPS-based factories: an example from the automotive industry. IFAC-PapersOnLine, 49(31), 97-102. Doi: https://doi.org/10.1016/j.ifacol.2016.12.168
Weyer, S., Schmitt, M., Ohmer, M., & Gorecky, D. (2015). Towards Industry 4.0-Standardization as the crucial challenge for highly modular, multi-vendor production systems. Ifac-Papersonline, 48(3), 579-584. Doi: https://doi.org/10.1016/j.ifacol.2015.06.143
Wollschlaeger, M., Sauter, T., & Jasperneite, J. (2017). The future of industrial communication: Automation networks in the era of the internet of things and industry 4.0. IEEE Industrial Electronics Magazine, 11(1), 17-27. Doi: https://doi.org/10.1109/mie.2017.2649104
Xu, J., Huang, E., Hsieh, L., Lee, L. H., Jia, Q. S., & Chen, C. H. (2016). Simulation optimization in the era of Industrial 4.0 and the Industrial Internet. Journal of Simulation, 10(4), 310-320. Doi: https://doi.org/10.1057/s41273-016-0037-6
Zawadzki, P., & Żywicki, K. (2016). Smart product design and production control for effective mass customization in the Industry 4.0 concept. Management and Production Engineering Review, 7(3), 105-112. Doi: https://doi.org/10.1515/mper-2016-0030
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. Doi: https://doi.org/10.1016/J.ENG.2017.05.015
Zhou, K., Liu, T., & Zhou, L. (2015, August). Industry 4.0: Towards future industrial opportunities and challenges. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (pp. 2147-2152). IEEE. Doi: https://doi.org/10.1109/FSKD.2015.7382284
Copyright of all articles published in IJAHP is transferred to Creative Decisions Foundation (CDF). However, the author(s) reserve the following:
- All proprietary rights other than copyright, such as patent rights.
- The right to grant or refuse permission to third parties to republish all or part of the article or translations thereof. In case of whole articles, such third parties must obtain permission from CDF as well. However, CDF may grant rights with respect to journal issues as a whole.
- The right to use all or parts of this article in future works of their own, such as lectures, press releases, reviews, textbooks, or reprint books.
- The authors affirm that the article has been neither copyrighted nor published, that it is not being submitted for publication elsewhere, and that if the work is officially sponsored, it has been released for open publication.
The only exception to the statements in the paragraph above is the following: If an article published in IJAHP contains copyrighted material, such as a teaching case, as an appendix, then the copyright (and all commercial rights) of such material remains with the original copyright holder.
CDF will receive permission for publication of copyrighted material in IJAHP. This permission is not transferable to third parties. Permission to make electronic and paper copies of part or all of the articles, including all computer files that are linked to the articles, for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage.
This permission does not apply to previously copyrighted material, such as teaching cases. In paper copies of the article, the copyright notice and the title of the publication and its date should be visible. To copy otherwise is permitted provided that a per-copy fee is paid.
To republish, to post on servers, or redistribute to lists requires that you post a link to the IJAHP article, which is available in open access delivery mode. Do not upload the article itself.
Authors are permitted to present a talk, based on a paper submitted to or accepted by IJAHP, at a conference where the paper would not be published in a copyrighted publication either before or after the conference and where the author did not assign copyright to the conference or related publisher.