The Interconnections Between ICT, Industry 4.0 and Agile Manufacturing

• Autorzy: Mohammed Ibrahim Khan , Trzcielinski Stefan

Identyfikatory

DOI

10.24425/mper.2021.139998

• Języki publikacji: EN

Abstrakty

EN

Technological progress is the driving force behind industrial development. It is a multidimensional and multi-level phenomenon. In this article we focus on its three manifestations: information and communication technologies (ICT), Industry 4.0 and agile manufacturing. The aim of this article is to analyse the relationship between these constructs as they are undoubtedly interrelated. ICT plays a key role, but it is not a goal itself. They are a prerequisite for the implementation of Industry 4.0, but together with it they serve to achieve agility by the manufacturing system and, as a result, achieve a competitive advantage by companies operating in turbulent and unpredictable environment. The literature findings in this paper are part of a broader study conducted on the impact of ICT on agility of SMEs operating in India. Therefore, we include also subsections showing the level of this relationship in Indian SMEs.

Słowa kluczowe

EN

information communication technology; ICT; agile manufacturing; AM; lean production; Industry 4.0; small size enterprise; medium size enterprise; SME

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2021
• Tom: Vol. 14, No. 4
• Strony: 99--110
• Opis fizyczny: Bibliogr. 77 poz., rys.

Twórcy

autor

Mohammed Ibrahim Khan

• Poznan University of Technology, Faculty of Engineering Management

autor

Trzcielinski Stefan

• Poznan University of Technology, Head of Department of Management Systems, Faculty of Engineering Management, Poznan University of Technology, ul. J. Rychlewskiego 2, 60-965 Poznań

Bibliografia

• Ahuett-Garza H. and Kurfess T. (2018). A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing. Manufacturing Letters, no. 15, pp. 60–63.
• Almada-Lobo F. (2016). The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management, vol. 3, no. 4, p. 17.
• Bessant J., Brown S., Francis D., Meredith S. and Kaplinsky R. (2000). Developing manufacturing agility in SMEs. International Journal of Entrepreneurship and Innovation Management, vol. 1, no. 3, pp. 730–756.
• Bi Z., Xu L.D. and Wang C. (2014). Internet of Things for enterprise systems of modern manufacturing. IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1537–1546.
• Blome C., Schoenherr T. and Rexhausen D. (2013). Antecedents and enablers of supply chain agility and its effect on performance. International Journal of Production Research, vol. 51, no. 4, pp. 1295–1318.
• Ceptureanu E.G. and Ceptureanu S.I. (2019). The impact of adoptive management innovations on medium-sized enterprises from a dynamic capability perspective. Technology Analysis & Strategic Management, no. 31, pp. 1137–1151.
• Cosgun V. and Dogerlioglu O. (2012). Critical success factors affecting e-commerce activities of small and medium enterprises. Information Technology Journal, no. 11, pp. 1664–1676.
• Claro D.P., Vojnovskis D. and Ramos C. (2018). When channel conflict positively affect performance: Evidence from ICT supplier- reseller relationship. Journal of Business & Industrial Marketing, vol. 33, no. 2, pp. 228–239.
• Condry M.W. and Nelson C.B. (2016). Using smart edge IoT devices for safer, rapid response with industry IoT control operations. Proceedings of the Ieee, vol. 104, no. 5, pp. 938–946.
• Dove R. (1992). What Is All This Talk About Agility – The 21st Century Manufacturing Enterprise Strategy. Japan Management Association Research, vol. 12, no. 92, pp. 1–8.
• Fatorachian H. and Kazemi H. (2018). A critical investigation of industry 4.0 in manufacturing: theoretical operationalization framework. Production Planning & Control, vol. 29, no. 8, pp. 633–644.
• Federmeccanica, Industria 4.0 (2018). An approach to support I4.0 adoption in SMEs: a coremetamodel and applications, https://hal.archivesouvertes.fr/hal-01813389/document
• Fenech R., Baguant P. and Ivanov D. (2019). The changing role of human resource management in an era of digital transformation. International Journal of Entrepreneurship, vol. 22, no. 2, pp. 166–175.
• Galbraith J.R. (2014). Organization Design Challenges Resulting from Big Data. Journal of Organization Design, vol. 3, no. 1, pp. 2–13. DOI: 10.7146/jod. 8856.
• Gäre K. and Melin U. (2011). SMEs need formative infrastructure for business transformation. Journal of Enterprise Information Management, vol. 24, no. 6, pp. 520–533.
• Géczy P., Izumi N., and Kôiti H. (2012). Cloud sourcing: Managing cloud adoption. Global Journal of Business Research, vol. 6, no. 2, pp. 57–70.
• Glinska M., Carr S.D. and Halliday A. (2012). Workforce agility: An executive briefing, University of Virginia Darden School Foundation, Charlottesville.
• González I., Calderón A. J., Barragán A. J., Andújar J. M. (2017). Integration of Sensors, Controllers and Instruments Using a Novel OPC Architecture. Sensors, vol. 17, pp. 1512.
• Gunasekaran A. and Yusuf Y.Y. (2002). Agile manufacturing: a taxonomy of strategic and technological imperatives. International Journal of Production Research, vol. 40, no. 6, pp. 1357–1385.
• Gunasekaran A., Subramanian N. and Papadopoulos T. (2017). Information Technology for Competitive Advantage With in Logistics and Supply Chains: A Review. Transportation Research Part E: Logistics and Transportation Review, no. 99, pp. 14–33.
• Höller J., Tsiatsis V., Mulligan C., Karnouskos S., Avesand S. and Boyle D. (2014). From Machine-toMachine to the Internet of Things: Introduction to a New Age of Intelligence, Amsterdam, The Netherlands: Elsevier.
• Huang B., Li C., Yin C. and Zhao X. (2013). Cloud manufacturing service platform for small-and mediumsized enterprises. International Journal of Advanced Manufacturing Technology, no. 65, pp. 1261–1272.
• Iqbal T., Huq F. and Bhutta M.K.S. (2018). Agile Manufacturing Relationship Building with TQM, JIT, and Firm Performance: An Exploratory Study in Apparel Export Industry of Pakistan. International Journal of Production Economics, vol. 203, no. 1, pp. 24–37.
• Ivanov R. (2014). Technological preparation of the manufacturing and development of control programs for mass production in the integrated “Protech” engineering automation system environment, PhD Thesis (in Bulgarian).
• Iyer A. (2018). Moving from industry 2.0 to industry 4.0: a case study from India on leapfrogging in smart manufacturing. Procedia Manufacturing, vol. 21, pp. 663–670.
• Kagermann H., Wahlster W. and Helbig J. (2013). Securing the future of German manufacturing industry. Recommendations for implementing the strategic initiative INDUSTRIE 4.0, Final report of the Industry 4.0 Working Group, National Academy of Science and Engineering, Germany.
• Kang H.S., Lee J.Y., Choi S., Kim H., Park J.H., Son J.Y. and Do Noh S. (2016). Smart manufacturing: past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 3, no. 1, pp. 111–128.
• Kaur A. and Bansal D. (2016). Monitoring and controlling of continue furnace line using PLC and SCADA, 5th International Conference on Wireless Networks and Embedded Systems (WECON), pp. 1–5.
• Kidd P.T. (1994). Agile manufacturing: Key issues, in: Kidd P.T., Karwowski W., (eds.). Advances in agile manufacturing, Amsterdam, IOS Press, 1994.
• Ketteni E., Kottaridi C. and Mamuneas T.P. (2015). Information and communication technology and foreign direct investment: Interactions and contributions to economic growth. Empirical Economics, vol. 48, no. 4, pp. 1525–1539.
• Kumar P., Singh R.K. and Kumar R. (2017). An integrated framework of interpretive structural modelling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization. International Journal of System Assurance Engi. & Mang., vol. 8, no. 1, pp. 342–352.
• Lasi H., Fettke P., Kemper H.G., Feld T. and Hoffmann M. (2014). Industry4.0. Business Information Systems Engineering, vol. 6, no. 4, pp. 239–242.
• Lee J., Lapira E., Bagheri B. and Kao H.A. (2013). Recent Advances and Trends in Predictive Manufacturing Systems in Big Data Environment. Manufacturing Letters, vol. 1, pp. 38–41.
• Lee E.A. and Seshia S.A. (2016). Introduction to embedded systems: A cyber-physical systems approach, London: MIT Press Publ.
• Lee J.Y., Yoon J.S., and Kim B.H. (2017). A Big Data Analytics Platform for Smart Factories in Small and Medium-sized Manufacturing Enterprises: An Empirical Case Study of a Die Casting Factory. International Journal of Precision Engineering and Manufacturing, vol. 18, no. 10, pp. 1353–1361.
• Lobos A. and Callie W. Babbitt (2013). Integrating Emotional Attachment and Sustainability in Electronic Product Design. Challenges, no. 4, pp.19–33; ISSN 2078-1547.
• Lu Y. and Cecil J. (2016). An Internet of Things (IoT)- based Collaborative Framework for Advanced Manufacturing. International Journal of Advanced Manufacturing Technology, vol. 84, no. 5–8, pp. 1141–1152. DOI: 10.1007/s00170-015-7772-0.
• Marinagi C., Trivellas P. and Sakas D.P. (2014). The impact of information technology on the development of supply chain competitive advantage. Procedia-Social and Behavioral Sciences, no. 147 (Supplement C). pp. 586–591.
• Matt D.T., Rauch E. and Riedl M. (2018). Knowledge transfer and introduction of industry 4.0 in SMEs: a five-step methodology to introduce industry 4.0. In Analyzing the Impacts of Industry 4.0 in Modern Business Environments, IGI Global, pp. 256–282.
• Mayer-Schönberger V. and Cukier K. (2013). Big data: A revolution that will transform how we live, work, and think, New York: Houghton Mifflin Harcourt.
• Misra S.C. and Mondal A. (2011). Identification of a company’s suitability for the adoption of cloud computing and modelling its corresponding Return on Investment. Mathematical and Computer Modelling, no. 53, pp. 504–521.
• Monostori L. (2014). Cyber-physical Production Systems: Roots, Expectations and R&D Challenges. Procedia CIRP, no. 17, pp. 9–13. DOI: 10.1016/j.procir.2014.03.115.
• Möller D.P. (2016). Digital Manufacturing/Industry 4.0, in: Guide to Computing Fundamentals in CyberPhysical Systems, Springer International Publishing, pp. 307–375.
• Ngai E., Chau D. and Chan T. (2011). Information technology, operational, and management competencies for supply chain agility: findings from case studies. Journal of Strategic Information Systems, vol. 20, no. 3, pp. 232–249.
• Nilsen S. and Nyberg E. (2016). The adoption of Industry 4.0-technologies in manufacturing – a multiple case study. Master of Science Thesis INDEK 2016:106, Stockholm. http://www.divaportal.org/smash/get/diva2:952337/FULLTEXT01.pdf.
• Post R. and Edmiston D. (2014). Challenging Big Data Preconceptions: New Ways of Thinking about Data and Integrated Marketing Communication. International Journal of Integrated Marketing Communications, vol. 6, no. 1, pp. 18–24.
• PwC Report. Industry 4.0 – opportunities and challenges of the industrial internet (2014). available at: https://www.google.com/search?client=firefox-bd&q=PwC+Report.+Industry+4.0+%E2%80%93+opportunities+and+challenges+of+the+industrial+ internet+%282014%29.+pdf.
• Qrunfleh S. and Tarafdar M. (2014). Supply chain information systems strategy: impacts on supply chain performance and firm performance. International Journal of Production Economics, no. 147, pp. 340–350.
• Queiroz M., Tallon P.P., Sharma R. and Coltman T. (2018). The Role of IT Application Orchestration Capability in Improving Agility and Performance. The Journal of Strategic Information Systems, vol. 27, no. 1, pp. 4–21.
• Radziwon A., Bilberg A., Bogers M. and Madsen E.S. (2014). The smart factory: Exploring adaptive and flexible manufacturing solutions. Procedia Engineering, vol. 69, pp. 1184–1190
• Rameshwar Dubey R. and Gunasekaran A. (2014). Agile manufacturing: framework and its empirical validation. The International Journal of Advanced Manufacturing Technology, vol. 74, no. 9-12, pp. 3–13.
• Ribeiro F. (2009). Exploring agile methods in construction small and medium enterprises. Journal of Enterprise Information Management, vol. 23, no. 2, pp. 161–180.
• Rittinghouse J.W. and Ransome J.F. (2009). Cloud computing: implementation management and security, CRC press.
• Roblek V., Meško M. and Krapež A. (2016). A complex view of Industry 4.0. SAGE Open, vol. 6, no. 2. DOI: 10.1177/2158244016653987.
• Rotondi D., Galipo A., Piccione S., Huth H., Houyou A.M., Walewski J.W., Kloukinas C., Trsek H. and Claessens J. (2010). IoT@Work, Technical Report, pp. 1–109.
• Siddhu R. (2013). Why more SMEs are embracing cloud computing, [online] http://timesofindia.indiatimes. com.
• Sindhwani R. and Malhotra V. (2018). An Integrated Approach for Implementation of Agile Manufacturing System in an Indian Manufacturing Industry. Benchmarking: An International Journal, vol. 25, no. 4, pp. 1106–1120.
• Sivarajah U., Kamal M.M, Irani Z. and Weerakkody V. (2017). Critical analysis of big data challenges and analytical methods. Journal of Business Research, no. 70, pp. 263–286.
• Teece, D., Peteraf, M. and Leih, S. (2016). Dynamic capabilities and organizational agility: Risk, uncertainty, and strategy in the innovation economy. California Management Review, no. 58, pp. 13–35.
• Tomlinson P. and Fai F. (2013). The nature of SME cooperation and innovation: A multi-scalar and multidimensional analysis. International Journal of Production Economics, no. 141, pp. 316–326.
• Trentin A., Forza C. and Perin E. (2012). Organisation Design Strategies for Mass Customisation: An Information-Processing-View Perspective. International Journal of Production Research, vol. 50, no. 14, pp. 3860–3877.
• Trzcielinski S. (2017). Agile Enterprise Concepts and Some Results of Research. IEA Press, Madison
• Trzcielinski S. (2020). The Influence of Human Capital Management on Implementation of Industry 4.0., Eds.: Karwowski W., Trzcielinski S., Mrugalska B., Advances in Manufacturing, Production Management and Process Control, Springer, Cham, pp. 111–121.
• Trzcielinski S. (2021). Model of the Opportunity Recognition Process, 37th IBIMA Conference, Cordoba, Spain, Conference proceedings 1–2, pp. 8733–8743.
• Wamba S.F., Gunasekaran A., Akter S., Ren S.J.F., Dubey R. and Childe S.J. (2017). Big data analytics and firm performance: effects of dynamic capabilities. Journal of Business Research, no. 70, pp. 356–365.
• Wang, L., Laszewski, G.V., Younge, A.J., He, X., Kunze, M., Tao, J. and Fu, C. (2010). Cloud computing: a perspective study. New Generation Computing, vol. 28, no. 2, pp. 137–146.
• Wang S., Wan J., Li D. and Zhang C. (2016). Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks, pp. 1–10. DOI: 10.1155/2016/3159805.
• Wei Z., Song X. and Wang D. (2017). Manufacturing flexibility, business model design, and firm performance. Int. Journal of Production Economics, no. 193, pp. 87–97. DOI: 10.1016/J.IJPE.2017.07.004.
• Whysall Z., Owtram M. and Brittain S. (2019). The new talent management challenges of industry 4.0.. Journal of Management Development, vol. 38, no. 2, pp. 118–129.
• Wynstra F., Spring M. and Schoenherr T. (2015). Service triads: A research agenda for buyer–supplier– customer triads in business services. Journal of Operations Management, no. 35, pp. 1–20.
• Xu L., He W. and Li S. (2014). Internet of things in industries: a survey. IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233–2243.
• Xu L. Da, Xu E.L. and Li L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, vol. 56, no. 8, pp. 2941–2962.
• Yin C., Xi J., Sun R. and Wang J. (2018). Location privacy protection based on differential privacy strategy for big data in industrial internet-of-things. IEEE Transactions on Industrial Informatics, vol. 14, no. 8, pp. 3628–3636.
• Zaied A.N.H. (2012). Barriers to E-Commerce Adoption in Egyptian SMEs. Int. Journal of Information Engineering and Electronic Business, vol. 3, no. 1, pp. 9–18.
• Zhang D. Z. (2011). Towards Theory Building in Agile Manufacturing Strategies – Case Studies of an Agility Taxonomy. International Journal of Production Economics, vol. 131, no. 1, pp. 303–312.
• Zhang X., Pikas B., Peek W. and Lee T. (2016). The Transformation and Upgrading of the Chinese Manufacturing Industry: Based on “German Industry 4.0. Journal of Applied Business and Economics, vol. 18, no. 5. DOI: 10.33423/jabe.v18i5.870.
• Zhou K., Liu T. and Zhou L. (2015). Industry 4.0: Towards Future Industrial Opportunities and Challenges, 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). pp. 2147–2152. DOI: 10.1109/FSKD.2015.7382284

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)