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Design Principles, Enabling Technologies and Challenges for Smart Manufacturing Systems Towards Industry 4.0


Affiliations
1 Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
     

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The revolution of industry 4.0 has resulted in continuous rapid growth of industry and the global market environment. Many manufacturing firms are rethinking & reshaping their traditional process to the smart process and make a step to develop a smart manufacturing system. By adopting the advanced manufacturing techniques such as Artificial Intelligence Manufacturing, Integration Manufacturing, Cyber-Physical system and many more enabling techniques like Big data & analytics, Industrial Internet of Things, Smart Sensors, it is possible to enhance the effectiveness of plant operations. According to the changes of trends in global market, manufacturing firms are turning towards smart manufacturing system. Smart thinking, new innovations in manufacturing sectors result in facing effectively the global and local challenges. Other benefits are increase in operational efficiency, improvement in the machine performance, low manufacturing cost, and many more. The main aim of this paper is to review the related studies on Smart Manufacturing, and its key enabling technologies. From these studies, it gives an idea to implement the advanced technologies in present manufacturing system in the organization and achieve both economic growth of the country and also personal growth of the organizations.

Keywords

Industry 4.0, Smart Manufacturing system, Industrial Internet of Things (IIoT), Cloud Manufacturing, Intelligent Manufacturing, Integration Manufacturing, Additive Manufacturing, Cyber (digital) — Physical Manufacturing system, Big Data and Analytics, Cloud Computing and Database wireless Sensors.
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  • Xu, Min; David, Jeanne M; Kim, Suk Hi: The Fourth Industrial Revolution: Opportunities & Challenges, International Journal of Financial Research, vol. 9, no. 2, 2018, 90-95,Doi:10.5430/ijfr.v9n2p90.

  • Mabkhot, M; Al-Ahmari, A; Salah, B; Al-Khalifa. H: Requirements of the Smart Factory System: A Survey and Perspective, 'Machines', vol. 6(2), 2018, 1- 22, Doi: 10.3390/machines 6020 023.

  • Koch, V; Kug; Geissbauer, DR; Schrauf, S; Industry 4.0: Opportunities & Challenges of the Industrial Internet, 2015, 1-52, https://www.strtegyand.pwc.com/media/file/Industry4.0.pdf.

  • Sameer Mittal; Muztoba Ahmad Khan; David Romero; Thorsten Wuest: Smart manufacturing: Characteristics, technologies and enabling factors, 'Journal, Engineering Manufacture', vol. 233, no. 5, 2019, 13421361, Doi:10.1177/0954405417 736547.

  • Tantik, E; Anderl, R: Integrated Data Model and Structure for the Asset Administration Shell in Industrie, Procedia CIRP, vol. 60, 2017, 86-91, https:// doi.org /10.1016/j.procir.2017.01.048.

  • Zawadzki, P; Zywicki, K: Smart product design and production control for effective mass customization in the industry 4.0 concept, Manufacturing & Production Engineering Reviews, vol. 7, no. 3, 8 October 2016, 105 -112, https://doi.org/10.15 15/mper-20160030.

  • Shamim, S; Cang, S; Yu, H; Li, Y: Examining the feasibilities of Industry 4.0 for the hospitality sector with the lens of management practice, Energies, vol. 10, no. 4, April 2017, 1-19, Doi:10.3390/en10040 499.

  • Hofmann, E; Rusch, M; Industry 4.0 and the current status as well as future prospects on logistics”, Computers in Industry, vol. 89, 2017, 2-34, http://dx.doi.org/10.1016/j.compind .2017.04.002.

  • Penas, O; Plateaux, R; Patalano, S; Hammadi, M: Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems, Computers in Industry, vol. 86(C), April 2017, no: 52–69, Doi:10.1016/j.compi nd.2016.12 .0 01.

  • Landherr, M; Schneider, U; Bauernhansl, Ivanov, D; Sokolov, B; Ivanova, M: Schedule Coordination Cyber-Physical Supply Networks Industry 4.0, IFAC conference, Elsevier, vol. 49, no. 12, 2016, 836–839, https://doi.org/10.1016/j.ifacol.2016.07.87 9.

  • Stock, T; Seliger, G: Opportunities of Sustainable Manufacturing in Industry 4.0, 13th Global Conference on Sustainable Manufacturing - Decoupling Growth from Resource Use, Procedia CIRP, vol. 40, 2016, 536-541, Doi: 10.1016/j.procir.2016.01.129.

  • Li, B; Hou, B; Yu, W; Lu, X; Yang, C: Applications of artificial intelligence in intelligent manufacturing: A review, Frontiers of Information Technology & Electronic Engineering, vol. 18, no. 1, 2017, 86-96, Doi: 10.1631/FITEE.1601885.

  • Hermann, M; Pentek, T; Otto, B: Design Principles for Industrie 4.0 Scenarios: A Literature Review, Research Gate, Working Paper No. 1/2015, January 2015, 1-16, Doi:10.13140/RG.2.2.29269.222 48.

  • Chouhan, Swarnima; Priyanka Mehra; Ankita Daso: India's Readiness for Industry 4.0 - Global Innovation & Technology, Grant Thornton India LLP, 2017.

  • Bohan, Mark: Next Level: 9 Components of Industry 4.0, Heidelberg Connect, August 30, 2016, https://news.heidelbergusa.com/2016/08/9components of 4-0/.

  • Rubmnn, Michael; Lorenz, Markus; Gerbert, Philipp; Waldner, Manuela; Justus, Jan; Engel, Pascal; Harnisch, Michael: Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries, The Boston Consulting Group (BCG), vol. 09, April 2015, https://www.zvw.de/media.media.72e472fb-1698-4a15-8858-344351c8902f. orginal.pdf.

  • Witkowski, K: Internet of Things, Big Data, Industry 4.0- Innovative Solutions in Logistics and Supply Chains Management, 7th International Conference on Engineering, Project, and Production Management, 'Procedia Engineering', vol. 182, 2017, 763-769, Doi:10.1016/j.proeng.2017.03.197.

  • Marilungo, E; Papetti, A; Germani, M; Peruzzini, M: From PSS to CPS design, a real industrial use case toward Industry 4.0, The 9th CIRP IPSS Conference, Circular Perspectives on Product/Service - Systems, 'Procedia CIRP', vol. 64, 2017, 357-362, Doi: 10.1016/j.procir.201 7.03.007.

  • Rita Sharma: How IoT Works in Manufacturing Industry, Finoit,https://www.finoit.com/blog/Iot-manufacturing-industry.

  • Simons, S; Abe, P; Neser, S: Learning in the AutFab – the fully automated Industrie 4.0”, learning factory of the University of Applied Sciences Darmstadt, 7th Conference on Learning Factories, CLF 2017, Procedia Manufacturing, vol. 9, 2017, 81-88, Doi: 10.1016/j.promfg.2017.04.023.

  • Saurabh Vaidya; Prashant Ambad; Santosh Bhosle: Industry 4.0 – A Glimpse, 2nd International Conference on Materials Manufacturing and Design Engineering, Procedia Manufacturing, vol. 20, 2018, 233-238, Doi:10.1016/j.promfg.2018.02.034.1016/J.ENG.2017.04.009.

  • What are smart machines?–Definition, WhatIs.com – Search CIO, https://searchcio.techtarget.com/definition/smart-machines/.

  • Rojko, Andreja: Industry 4.0 Concept: Background and Overview, 'International Journal of Interactive Mobile Technologies (iJIM)', ECPE European Center for Power Electronics e. V., Nuremberg, Germany, vol. 11, no. 5, 2017, 77-99, https://doi.org/10.3991/ijim.v 11i5.7072.

  • Deloitte source using smart sensors to drive supply chain innovation https://www2.deloitte.com/content/dam /Deloitte/us/Documents/process-and-operations/us-conssmartsensors.pdf.

  • Penas, O; Plateaux, R; Patalano, S; Hammadi, M: Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems, Computers in Industry, vol. 86(C), April 2017, 52-69, Doi:10.1016/j.compi nd.2016.12 .0 01

  • Burke, Rick; Mussomeli, Adam; Laaper, Stephen: Marty Hartigan.,Brenna Sniderman., The smart factory, Deloitte University Press, 2017, https://www2.deloitte. com/content/dam/insights/us/articles/4051_The-smart-factory/DUP_The-smart-factory.pdf.

  • Chen, Yubao: Integrated &Intelligent Manufacturing: Perspectives & Enablers, 'Engineering', vol. 3, no. 5, October 2017, 588-595


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  • Design Principles, Enabling Technologies and Challenges for Smart Manufacturing Systems Towards Industry 4.0

Abstract Views: 252  |  PDF Views: 2

Authors

V. Ashwini
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
Y. T. Dharanendra
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
H. S. Kumaraswamy
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India
B. M. Rajaprakash
Department of Mechanical Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, Karnataka, India

Abstract


The revolution of industry 4.0 has resulted in continuous rapid growth of industry and the global market environment. Many manufacturing firms are rethinking & reshaping their traditional process to the smart process and make a step to develop a smart manufacturing system. By adopting the advanced manufacturing techniques such as Artificial Intelligence Manufacturing, Integration Manufacturing, Cyber-Physical system and many more enabling techniques like Big data & analytics, Industrial Internet of Things, Smart Sensors, it is possible to enhance the effectiveness of plant operations. According to the changes of trends in global market, manufacturing firms are turning towards smart manufacturing system. Smart thinking, new innovations in manufacturing sectors result in facing effectively the global and local challenges. Other benefits are increase in operational efficiency, improvement in the machine performance, low manufacturing cost, and many more. The main aim of this paper is to review the related studies on Smart Manufacturing, and its key enabling technologies. From these studies, it gives an idea to implement the advanced technologies in present manufacturing system in the organization and achieve both economic growth of the country and also personal growth of the organizations.

Keywords


Industry 4.0, Smart Manufacturing system, Industrial Internet of Things (IIoT), Cloud Manufacturing, Intelligent Manufacturing, Integration Manufacturing, Additive Manufacturing, Cyber (digital) — Physical Manufacturing system, Big Data and Analytics, Cloud Computing and Database wireless Sensors.

References