Determinants of information and digital technology implementation for smart manufacturing

References

• Agi, M. A., and R. Nishant. 2017. “Understanding Influential Factors on Implementing Green Supply Chain Management Practices: An Interpretive Structural Modelling Analysis.” Journal of Environmental Management 188 (1): 351–363.
   PubMed Web of Science ®Google Scholar
• Albuquerque, R., Y. Koskinen, and C. Zhang. 2018. “Corporate Social Responsibility and Firm Risk: Theory and Empirical Evidence.” Management Science. doi:10.1287/mnsc.2018.3043.
   PubMed Web of Science ®Google Scholar
• Arena, M., G. Azzone, and F. Mapelli. 2018. “What Drives the Evolution of Corporate Social Responsibility Strategies? An Institutional Logics Perspective.” Journal of Cleaner Production 171 (1): 345–355.
   Web of Science ®Google Scholar
• Arnold, C., D. Kiel, and K.-I. Voigt. 2016. “How the Industrial Internet of Things Changes Business Models in Different Manufacturing Industries.” International Journal of Innovation Management 20 (8): 1–25.
   Web of Science ®Google Scholar
• Bartunek, J. M., and J. K. Murninghan. 1984. “The Nominal Group Technique: Expanding the Basic Procedure and Underlying Assumptions.” Group & Organization Studies 9 (3): 417–432.
   Google Scholar
• Bi, Z., L. Da Xu, and C. Wang. 2014. “Internet of Things for Enterprise Systems of Modern Manufacturing.” IEEE Transactions on Industrial Informatics 10 (2): 1537–1546.
   Web of Science ®Google Scholar
• Bikas, H., P. Stavropoulos, and G. Chryssolouris. 2016. “Additive Manufacturing Methods and Modelling Approaches: A Critical Review.” The International Journal of Advanced Manufacturing Technology 83 (1–4): 389–405.
   Web of Science ®Google Scholar
• Blomgren, A. 2011. “Does Corporate Social Responsibility Influence Profit Margins? A Case Study of Executive Perceptions.” Corporate Social Responsibility and Environmental Management 18 (5): 263–274.
   Web of Science ®Google Scholar
• Branger, J., and Z. Pang. 2015. “From Automated Home to Sustainable, Healthy and Manufacturing Home: A New Story Enabled by the Internet-of-Things and Industry 4.0.” Journal of Management Analytics 2 (4): 314–332.
   Web of Science ®Google Scholar
• Chirra, S., and D. Kumar. 2018. “Analysis of SCF Under Sales Promotional Schemes: An Application of Interpretive Structural Modelling Approach.” International Journal of Production Research 56 (18): 6015–6033.
   Web of Science ®Google Scholar
• Dallasega, P., E. Rauch, and C. Linder. 2018. “Industry 4.0 as an Enabler of Proximity for Construction Supply Chains: A Systematic Literature Review.” Computers in Industry 99 (1): 205–225.
   Web of Science ®Google Scholar
• Davis. 2015. “Industry 4.0 – European Parliament.” Accessed December 4, 2018. http://www.europarl.europa.eu/RegData/etudes/STUD/2016/570007/IPOL_STU(2016)570007_EN.pdf.
   Google Scholar
• Da Xu, L., W. He, and S. Li. 2014. “Internet of Things in Industries: A Survey.” IEEE Transactions on Industrial Informatics 10 (4): 2233–2243.
   Web of Science ®Google Scholar
• Deloitte. 2017. “Industry 4.0 and Cybersecurity.” Accessed November 22, 2018. https://www2.deloitte.com/insights/us/en/focus/industry-4-0/cybersecurity-managing-risk-in-age-of-connected-production.html
   Google Scholar
• Deloitte. 2018. “The Rise of the Digital Supply Network: Industry 4.0 Enables the Digital Transformation of Supply Chains.” Accessed November 19, 2018. https://www2.deloitte.com/content/dam/insights/us/articles/3465_Digital-supply-network/DUP_Digital-supply-network.pdf.
   Google Scholar
• Elia, V., M. G. Gnoni, and A. Lanzilotto. 2016. “Evaluating the Application of Augmented Reality Devices in Manufacturing from a Process Point of View: An AHP Based Model.” Expert Systems with Applications 63 (1): 187–197.
   Web of Science ®Google Scholar
• ENISA. 2018. “Cybersecurity Is a Key Enabler for Industry 4.0 Adoption.” Accessed November 27, 2018. https://www.enisa.europa.eu/news/enisa-news/cybersecurity-is-a-key-enabler-for-industry-4-0-adoption/.
   Google Scholar
• European Commission. 2018. “WATIFY.” Accessed October 25, 2018 https://ec.europa.eu/growth/tools-databases/dem/watify/.
   Google Scholar
• Fischer, C., and A. Pöhler. 2018. “Supporting the Change to Digitalized Production Environments Through Learning Organization Development.” In The Impact of Digitalization in the Workplace, edited by C. Harteis, 141–160. New York: Springer.
   Google Scholar
• Gaub, H. 2016. “Customization of Mass-Produced Parts by Combining Injection Molding and Additive Manufacturing with INDUSTRY 4.0 Technologies.” Reinforced Plastics 60 (6): 401–404.
   Google Scholar
• GE Digital. 2018. “Everything You Need to Know About the Industrial Internet of Things.” Accessed October 28, 2018. https://www.ge.com/digital/blog/everything-you-need-know-about-industrial-internet-things.
   Google Scholar
• Ghobakhloo, M. 2018. “The Future of Manufacturing Industry: A Strategic Roadmap Toward Industry 4.0.” Journal of Manufacturing Technology Management 29 (6): 910–936.
   Web of Science ®Google Scholar
• Ghobakhloo, M., D. Arias-Aranda, and J. Benitez-Amado. 2011. “Adoption of E-Commerce Applications in SMEs.” Industrial Management & Data Systems 111 (8): 1238–1269.
   Web of Science ®Google Scholar
• Ghobakhloo, M., and A. Azar. 2018. “Business Excellence via Advanced Manufacturing Technology and Lean-Agile Manufacturing.” Journal of Manufacturing Technology Management 29 (1): 2–24.
   Web of Science ®Google Scholar
• Ghobakhloo, M., A. Azar, and S. H. Tang. 2018a. “Business Value of Enterprise Resource Planning Spending and Scope: A Post-Implementation Perspective.” Kybernetes 48 (5): 967–989.
   Web of Science ®Google Scholar
• Ghobakhloo, M., M. Fathi, D. B. M. M. Fontes, and N. Tan Ching. 2018b. “Modeling Lean Manufacturing Success.” Journal of Modelling in Management 13 (4): 908–931.
   Web of Science ®Google Scholar
• Ghobakhloo, M., S. H. Tang, and C. Standing. 2014. “Business-to-Business Electronic Commerce Success: A Supply Network Perspective.” Journal of Organizational Computing and Electronic Commerce 24 (4): 312–341.
   Web of Science ®Google Scholar
• Gilchrist, A. 2016. Industry 4.0: The Industrial Internet of Things. New York: Springer.
   Google Scholar
• Giotopoulos, I., A. Kontolaimou, E. Korra, and A. Tsakanikas. 2017. “What Drives ICT Adoption by SMEs? Evidence From a Large-Scale Survey in Greece.” Journal of Business Research 81 (1): 60–69.
   Web of Science ®Google Scholar
• Govindan, K., S. Azevedo, H. Carvalho, and V. Cruz-Machado. 2015. “Lean, Green and Resilient Practices Influence on Supply Chain Performance: Interpretive Structural Modeling Approach.” International Journal of Environmental Science and Technology 12 (1): 15–34.
   Web of Science ®Google Scholar
• Govindan, K., M. Palaniappan, Q. Zhu, and D. Kannan. 2012. “Analysis of Third Party Reverse Logistics Provider Using Interpretive Structural Modeling.” International Journal of Production Economics 140 (1): 204–211.
   Web of Science ®Google Scholar
• Griffor, E. R., Greer, C., Wollman, D. A., and Burns, M. J. 2017. “Framework for Cyber-Physical Systems: Volume 1, Overview.” NIST. Accessed October 12, 2018. https://doi.org/10.6028/NIST.SP.1500-201
   Google Scholar
• Gu, F., J. Guo, P. Hall, and X. Gu. 2019. “An Integrated Architecture for Implementing Extended Producer Responsibility in the Context of Industry 4.0.” International Journal of Production Research 57 (5): 1458–1477.
   Web of Science ®Google Scholar
• Hecklau, F., M. Galeitzke, S. Flachs, and H. Kohl. 2016. “Holistic Approach for Human Resource Management in Industry 4.0.” Procedia CIRP 54 (1): 1–6.
   Google Scholar
• Hofmann, E., and M. Rüsch. 2017. “Industry 4.0 and the Current Status as Well as Future Prospects on Logistics.” Computers in Industry 89 (1): 23–34.
   Web of Science ®Google Scholar
• Huang, S. H., P. Liu, A. Mokasdar, and L. Hou. 2013. “Additive Manufacturing and its Societal Impact: A Literature Review.” The International Journal of Advanced Manufacturing Technology 67 (5-8): 1191–1203.
   Web of Science ®Google Scholar
• Jeschke, S., C. Brecher, T. Meisen, D. Özdemir, and T. Eschert. 2017. “Industrial Internet of Things and Cyber Manufacturing Systems.” In Industrial Internet of Things, edited by S. Jeschke, C. Brecher, H. Song, and D. B. Rawat, 3–19. New York: Springer.
   Google Scholar
• Kagermann, H. 2015. “Change Through Digitization-Value Creation in the Age of Industry 4.0.” In Management of Permanent Change, edited by H. Albach, H. Meffert, A. Pinkwart, and R. Reichwald, 23–45. New York: Springer.
   Google Scholar
• Kamble, S. S., A. Gunasekaran, and R. D. Raut. 2019. “Analysing the Implementation Barriers of Dual Cycling in Port Container Terminal Using Interpretive Structural Modeling-Indian Context.” International Journal of Logistics Research and Applications 22 (2): 119–137.
   Web of Science ®Google Scholar
• Kamble, S. S., A. Gunasekaran, and R. Sharma. 2018. “Analysis of the Driving and Dependence Power of Barriers to Adopt Industry 4.0 in Indian Manufacturing Industry.” Computers in Industry 101 (1): 107–119.
   Web of Science ®Google Scholar
• Kane, G. C., D. Palmer, A. N. Phillips, D. Kiron, and N. Buckley. 2017. “Achieving Digital Maturity. Adapting Your Company to a Changing World.” Deloitte Insights. Accessed November 7, 2018. https://www2.deloitte.com/insights/us/en/focus/digital-maturity/digital-mindset-mit-smr-report.html?id=gx:2di:3dn:dup3678:awa:dup:mitsmr2017.
   Google Scholar
• Kannan, G., and A. N. Haq. 2007. “Analysis of Interactions of Criteria and Sub-Criteria for the Selection of Supplier in the Built-in-Order Supply Chain Environment.” International Journal of Production Research 45 (17): 3831–3852.
   Web of Science ®Google Scholar
• Kapse, C. P., A. Kumar, M. K. Dash, E. K. Zavadskas, and S. Luthra. 2018. “Developing Textile Entrepreneurial Inclination Model by Integrating Experts Mining and ISM-MICMAC.” International Journal of Production Research 56 (14): 4709–4728.
   Web of Science ®Google Scholar
• Kumar, A., E. K. Zavadskas, S. K. Mangla, V. Agrawal, K. Sharma, and D. Gupta. 2018. “When Risks Need Attention: Adoption of Green Supply Chain Initiatives in the Pharmaceutical Industry.” International Journal of Production Research, 1–23. doi:10.1080/00207543.2018.1543969.
   Web of Science ®Google Scholar
• Kusiak, A. 2018. “Smart Manufacturing.” International Journal of Production Research 56 (1-2): 508–517.
   Web of Science ®Google Scholar
• Lasi, H., P. Fettke, H.-G. Kemper, T. Feld, and M. Hoffmann. 2014. “Industry 4.0.” Business & Information Systems Engineering 6 (4): 239–242.
   Web of Science ®Google Scholar
• Lee, J., B. Bagheri, and H.-A. Kao. 2015. “A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems.” Manufacturing Letters 3 (1): 18–23.
   Google Scholar
• Lee, J. H., R. Phaal, and S.-H. Lee. 2013. “An Integrated Service-Device-Technology Roadmap for Smart City Development.” Technological Forecasting and Social Change 80 (2): 286–306.
   Web of Science ®Google Scholar
• Legner, C., T. Eymann, T. Hess, C. Matt, T. Böhmann, P. Drews, and F. Ahlemann. 2017. “Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community.” Business & Information Systems Engineering 59 (4): 301–308.
   Web of Science ®Google Scholar
• Leyh, C., T. Schäffer, K. Bley, and S. Forstenhäusler. 2016. “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, edited by E. Ziemba, 103–119. New York: Springer.
   Google Scholar
• Li, L. 2018. “China's Manufacturing Locus in 2025: With a Comparison of “Made-in-China 2025” and “Industry 4.0”.” Technological Forecasting and Social Change 135 (1): 66–74.
   Web of Science ®Google Scholar
• Liao, Y., F. Deschamps, E. d. F. R. Loures, and L. F. P. Ramos. 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.
   Web of Science ®Google Scholar
• Longo, F., L. Nicoletti, and A. Padovano. 2017. “Smart Operators in Industry 4.0: A Human-Centered Approach to Enhance Operators’ Capabilities and Competencies Within the New Smart Factory Context.” Computers & Industrial Engineering 113 (1): 144–159.
   Web of Science ®Google Scholar
• Lu, Y. 2017. “Industry 4.0: A Survey on Technologies, Applications and Open Research Issues.” Journal of Industrial Information Integration 6 (1): 1–10.
   Web of Science ®Google Scholar
• Lu, Y., K. C. Morris, and S. P. Frechette. 2016. Current Standards Landscape for Smart Manufacturing Systems. NIST Interagency/Internal Report (NISTIR) – 8107. Accessed April 2, 2019. https://doi.org/10.6028/NIST.IR.8107.
   Google Scholar
• Mangla, S., J. Madaan, and F. T. Chan. 2013. “Analysis of Flexible Decision Strategies for Sustainability-Focused Green Product Recovery System.” International Journal of Production Research 51 (11): 3428–3442.
   Web of Science ®Google Scholar
• Marr, B. 2017. Data Strategy: How to Profit from a World of Dig Fata, Analytics and the Internet of Things. London: Kogan Page Publishers.
   Google Scholar
• Mittal, S., M. A. Khan, D. Romero, and T. Wuest. 2018. “A Critical Review of Smart Manufacturing & Industry 4.0 Maturity Models: Implications for Small and Medium-sized Enterprises (SMEs).” Journal of Manufacturing Systems 49 (1): 194–214.
   Web of Science ®Google Scholar
• NIST. 2014. “Smart Manufacturing Operations Planning and Control Program.” Accessed December 3, 2018. https://www.nist.gov/programs-projects/smart-manufacturing-operations-planning-and-control-program.
   Google Scholar
• Oesterreich, T. D., and F. Teuteberg. 2016. “Understanding the Implications of Digitisation and Automation in the Context of Industry 4.0: A Triangulation Approach and Elements of a Research Agenda for the Construction Industry.” Computers in Industry 83 (1): 121–139.
   Web of Science ®Google Scholar
• Oliveira, T., M. Thomas, and M. Espadanal. 2014. “Assessing the Determinants of Cloud Computing Adoption: An Analysis of the Manufacturing and Services Sectors.” Information & Management 51 (5): 497–510.
   Web of Science ®Google Scholar
• Papazoglou, M., W.-J. van den Heuvel, and J. Mascolo. 2015. “Reference Architecture and Knowledge-Based Structures for Smart Manufacturing Networks.” IEEE Software 32 (3): 61–69.
   Web of Science ®Google Scholar
• Posada, J., C. Toro, I. Barandiaran, D. Oyarzun, D. Stricker, R. De Amicis, and I. Vallarino. 2015. “Visual Computing as a Key Enabling Technology for Industry 4.0 and Industrial Internet.” IEEE Computer Graphics and Applications 35 (2): 26–40.
   PubMed Web of Science ®Google Scholar
• Qu, T., S. Lei, Z. Wang, D. Nie, X. Chen, and G. Q. Huang. 2016. “IoT-Based Real-Time Production Logistics Synchronization System Under Smart Cloud Manufacturing.” The International Journal of Advanced Manufacturing Technology 84 (1-4): 147–164.
   Web of Science ®Google Scholar
• Ravi, V., and R. Shankar. 2005. “Analysis of Interactions Among the Barriers of Reverse Logistics.” Technological Forecasting and Social Change 72 (8): 1011–1029.
   Web of Science ®Google Scholar
• Saade, R. G., and H. Nijher. 2016. “Critical Success Factors in Enterprise Resource Planning Implementation: A Review of Case Studies.” Journal of Enterprise Information Management 29 (1): 72–96.
   Web of Science ®Google Scholar
• Sage, A. 1977. Interpretive Structural Modeling: Methodology for Large-Scale Systems. New York: McGraw-Hill.
   Google Scholar
• Samuel, B. 2018. “Data Integration Is Still the Biggest Hindrance to Industry 4.0.” IBM. Accessed October 27, 2018. https://www.ibm.com/blogs/internet-of-things/data-integration-is-still-the-biggest-hindrance-to-industry-4-0/.
   Google Scholar
• Saucedo-Martínez, J. A., M. Pérez-Lara, J. A. Marmolejo-Saucedo, T. E. Salais-Fierro, and P. Vasant. 2017. “Industry 4.0 Framework for Management and Operations: A Review.” Journal of Ambient Intelligence and Humanized Computing 9 (3): 789–801.
   Web of Science ®Google Scholar
• Schlechtendahl, J., M. Keinert, F. Kretschmer, A. Lechler, and A. Verl. 2015. “Making Existing Production Systems Industry 4.0-Ready.” Production Engineering 9 (1): 143–148.
   Google Scholar
• Schniederjans, D. G. 2017. “Adoption of 3D-Printing Technologies in Manufacturing: A Survey Analysis.” International Journal of Production Economics 183 (1): 287–298.
   Web of Science ®Google Scholar
• Singh, R. K., A. Gupta, and A. Gunasekaran. 2018. “Analysing the Interaction of Factors for Resilient Humanitarian Supply Chain.” International Journal of Production Research 56 (21): 6809–6827.
   Web of Science ®Google Scholar
• Sivaprakasam, R., V. Selladurai, and P. Sasikumar. 2015. “Implementation of Interpretive Structural Modelling Methodology as a Strategic Decision Making Tool in a Green Supply Chain Context.” Annals of Operations Research 233 (1): 423–448.
   Web of Science ®Google Scholar
• Sivathanu, B., and R. Pillai. 2018. “Smart HR 4.0 – How Industry 4.0 is Disrupting HR.” Human Resource Management International Digest 26 (4): 7–11.
   Google Scholar
• Sjödin, D. R., V. Parida, M. Leksell, and A. Petrovic. 2018. “Smart Factory Implementation and Process Innovation.” Research-Technology Management 61 (5): 22–31.
   Web of Science ®Google Scholar
• Tang, S. H., and M. Ghobakhloo. 2013. “IT Investments and Product Development Effectiveness: Iranian SBs.” Industrial Management & Data Systems 113 (2): 265–293.
   Web of Science ®Google Scholar
• Tao, F., and Q. Qi. 2017. “New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (1): 81–91.
   Web of Science ®Google Scholar
• Tao, F., Q. Qi, A. Liu, and A. Kusiak. 2018a. “Data-Driven Smart Manufacturing.” Journal of Manufacturing Systems 48 (C): 157–169.
   Web of Science ®Google Scholar
• Tao, F., F. Sui, A. Liu, Q. Qi, M. Zhang, B. Song, and A. Y. C. Nee. 2018b. “Digital Twin-Driven Product Design Framework.” International Journal of Production Research, 1–19. doi:10.1080/00207543.2018.1443229.
   Web of Science ®Google Scholar
• Thames, L., and D. Schaefer. 2017. “Industry 4.0: An Overview of Key Benefits, Technologies, and Challenges.” In Cybersecurity for Industry 4.0, edited by L. Thames and D. Schaefer, 1–33. New York: Springer.
   Google Scholar
• Thirupathi, R., and S. Vinodh. 2016. “Application of Interpretive Structural Modelling and Structural Equation Modelling for Analysis of Sustainable Manufacturing Factors in Indian Automotive Component Sector.” International Journal of Production Research 54 (22): 6661–6682.
   Web of Science ®Google Scholar
• Tuptuk, N., and S. Hailes. 2018. “Security of Smart Manufacturing Systems.” Journal of Manufacturing Systems 47 (1): 93–106.
   Web of Science ®Google Scholar
• Vasanthakumar, C., S. Vinodh, and K. Ramesh. 2016. “Application of Interpretive Structural Modelling for Analysis of Factors Influencing Lean Remanufacturing Practices.” International Journal of Production Research 54 (24): 7439–7452.
   Web of Science ®Google Scholar
• Vogel-Heuser, B., and D. Hess. 2016. “Guest Editorial Industry 4.0-Prerequisites and Visions.” IEEE Transactions on Automation Science and Engineering 13 (2): 411–413.
   Web of Science ®Google Scholar
• Waibel, M., L. Steenkamp, N. Moloko, and G. Oosthuizen. 2017. “Investigating the Effects of Smart Production Systems on Sustainability Elements.” Procedia Manufacturing 8 (1): 731–737.
   Google Scholar
• Wang, S., J. Wan, D. Zhang, D. Li, and C. Zhang. 2016. “Towards Smart Factory for Industry 4.0: A Self-Organized Multi-Agent System with Big Data Based Feedback and Coordination.” Computer Networks 101 (1): 158–168.
   Web of Science ®Google Scholar
• Warfield, J. N. 1982. “Interpretive Structural Modeling.” In Group Planning and Problem-Solving Methods in Engineering, edited by S. A. Olsen, 155–201. New York: Wiley.
   Google Scholar
• Webster, J., and R. T. Watson. 2002. “Analyzing the Past to Prepare for the Future: Writing a Literature Review.” MIS Quarterly 26 (2), xiii–xxiii.
   Web of Science ®Google Scholar
• Wegner, A., J. Graham, and E. Ribble. 2017. “A New Approach to Cyberphysical Security in Industry 4.0.” In Cybersecurity for Industry 4.0, edited by L. Thames and D. Schaefer, 59–72. New York: Springer.
   Google Scholar
• Weyer, S., M. Schmitt, M. Ohmer, and D. Gorecky. 2015. “Towards Industry 4.0-Standardization as the Crucial Challenge for Highly Modular, Multi-Vendor Production Systems.” IFAC-Papersonline 48 (3): 579–584.
   Google Scholar
• Wollschlaeger, M., T. Sauter, and J. Jasperneite. 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.
   Web of Science ®Google Scholar
• Xu, L. D., E. L. Xu, and L. Li. 2018. “Industry 4.0: State of the Art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962.
   Web of Science ®Google Scholar
• Yao, X., J. Zhou, J. Zhang, and C. R. Boër. 2017. “From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further on.” Paper presented at the 2017 5th International Conference on Enterprise Systems. Imassol, Cyprus, 1–2 October, 2018.
   Google Scholar
• Yazici, H. J. 2014. “An Exploratory Analysis of Hospital Perspectives on Real Time Information Requirements and Perceived Benefits of RFID Technology for Future Adoption.” International Journal of Information Management 34 (5): 603–621.
   Web of Science ®Google Scholar
• Zheng, P., Z. Sang, R. Y. Zhong, Y. Liu, C. Liu, K. Mubarok, and X. Xu. 2018. “Smart Manufacturing Systems for Industry 4.0: Conceptual Framework, Scenarios, and Future Perspectives.” Frontiers of Mechanical Engineering 13 (2): 137–150.
   Web of Science ®Google Scholar
• Zhong, R. Y., X. Xu, E. Klotz, and S. T. Newman. 2017. “Intelligent Manufacturing in the Context of Industry 4.0: A Review.” Engineering 3 (5): 616–630.
   Web of Science ®Google Scholar