Abstract
Despite standards such as International Standards Association (ISA-95) and Manufacturing Enterprise Solutions Association (MESA) International guiding operational process, asset automation and control for some time, the integration challenge remains for Industrial Internet of Things (IIoT) that the strategies of converging Information Technology (IT) and Operational Technology (OT) domains remain disparate. IT systems prioritize data governance and reliability to ensure the needs of enterprise users are met while OT systems prioritize human safety and asset reliability to ensure that the production process remain safe and effective. These differing priorities lead to greater complexities in the design of convergent systems necessary to progress Industrial Internet of Things, coined more recently as Industry 4.0.
The gaps are between IoT computing layers and alignment to the ISA-95 automation layers plus the evolving constructs of Industry 4.0 and how in the future un/trusted data moves seamlessly between converged OT and IT domains. In doing so, the information governance links between technology, organizational processes, and people (TOP) across the ISA-95 and Manufacturing Operations Management (MOM) System stacks must be considered to provide true secure convergence of the OT and IT domains. This paper explores and builds upon the growing industrial manufacturing OT/IT/IoT convergence literature [1, 31], extending exploration of the role of TOP governance factors to RAMI4.0, suggesting a single OT/IT strategy for organizations to achieve Industry 4.0 initiatives.
The case study research method provides insights into emerging industry and standards convergence practices. Applying these standards and aligning the interdependence between OT and IT strategies with TOP constructs, are explored in the context of achieving Industry 4.0 objectives robustly and resiliently through applying a holistic Data Infrastructure Platform (DIP) in process-centric organizations.
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References
Kuusk A, Gao J (2015) Consolidating people, process and technology to bridget the great wall of operational and information technologies. In: Engineering asset management: towards certification, Springer, Cham
Lobov A (2018) Smart manufacturing systems: climbing the DIKW pyramid. In: IECON 2018 - 44th annual conference of the IEEE industrial electronics society, Washington DC
Wang L (2016) Big data in cyber-physical systems, digital manufacturing and industry 4.0. Int J Eng Manufact 6:1–8
Cisco (2018) Cisco global could index: forecast and methodology, 2016–2021 White Paper, 19 November 2018. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/white-paper-c11-738085.html. Accessed 7 May 2019
Gartner (2018) Gartner identifies top 10 strategic IoT technologies and trends, 7 November. https://www.gartner.com/en/newsroom/press-releases/2018-11-07-gartner-identifies-top-10-strategic-iot-technologies-and-trends. Accessed 7 May 2019
Shi W, Cao J, Zhang Q, Li Y, Xu L (2016) Edge computing: vision and challenges. IEEE Internet Things J 3(5):637–646
Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. In: MCC 2012 Proceedings of the first edition of the MCC workshop on mobile cloud computing, Helsinki, Finland
Breivold HP, Sandström K (2015 ) Internet of Things for industrial automation - challenges and technical solutions. In: IEEE international conference on data science and data intensive systems, Sydney, Australia
Stouffer K, Falco J, Scarfone K (2011) Guide to industrial control systems (ICS) security. National Institute of Standards & Technology (NIST), Gaithersburg, MD, USA
Technical Review Middle East (2016) Schneider Electric introduces world’s first ePAC for IIoT in GCC, IT Section, 29 November 2016
Johnson RE (2010) Survey of SCADA security challenges and potential attack vectors. In: International Conference for Internet Technology and Secured Transactions, London, UK
Agarwal N, Brem A (2015) Strategic business transformation through technology convergence: implications from general electric’s industrial internet initiative. Int J Tech Manage 67:196–214
Lorga M, Goren NS, Mahmoudi C (2018) Fog computing conceptual model, recommendations of the national institute of standards and technology, NIST, Gaithersburg, MD, USA
Liu H, Guo J, Yu W, Zhu L, Liu Y, Xia T, Sun R, Gardner RM (2016) The design and implementation of the enterprise level data platform and big data driven applications and analytics. In: IEEE/PES transmission and distribution conference and exposition (T&D), Dallas, TX, USA, 3–5 May 2016
Bikfalvi P, Kulcsár G, Forrai MK, Erdélyi F, Tóth T (2013) On some functions of the MES applications supporting production operations management. In: Applied information science, engineering and technology, Springer, Cham, pp. 103–129
Beath C, Sebastien I, Ross J, Beath C, Mocker M, Moloney K, Fonstad N (2017) How big old companies navigate digital transformation. MIS Q Executive 197–201 (2017)
Malli SS, Vijayalakshmi S, Balaji V (2017) Real time big data analytics to derive actionable intelligence in enterprise applications. In: Internet of Things and big data analytics toward next-generation intelligence. Studies in Big Data, vol. 30, Springer, pp 99–121
Ochs T, Riemann U (2018) Smart manufacturing in the Internet of Things era. In: Internet of Things and big data analytics toward next-generation intelligence, Springer, pp 199-217
McKinsey & Company (2015) The Internet of Things: mapping the value beyond the hype. McKinsey Global Institute
International Society of Automation, ISA95, Enterprise-Control System Integration. https://www.isa.org/isa95/
International Organization for Standardization, Enterprise-control system integration. https://www.iso.org/standard/57308.html
Koch R (2018) Draining the data swamp: an organization’s data lake is only as good as the preparation and maintenance planning that go into creating it, Strategic Finance, 1 June 2018
Radanliev P, Nicolescu R, Huth M, De Roure DC (2019) A reference architecture for integrating the Industrial Internet of Things in the Industry 4.0, University of Oxford, Oxford, UK
Kosieradzka A (2017) Maturity model for production management. In: 7th international conference on engineering, project, and production management
Gill B, Shea T (2018) Industrial IoT brings benefits and opportunities for rotating equipment suppliers and plant operators. In: Asia turbo machinery & pump symposium, Singapore
Schuh G, Anderl R, Gausemeier J, ten Hompel M, Wahlster W (2017) Industrie 4.0Â Maturity index: managing the digital transformation, acatch, Munich, Germany
Hand A (2018) The value proposition of IIoT, Industry 4.0, Automation World, 16 June 2018
De Carolis A, Macchi M, Negri E, Terzi S (2017) A maturity model for assessing the digital readiness of manufacturing companies. In: Advances in production management systems, Part 1, Hamburg, Germany, 3–7 September 2017
Yamfashije J (2017) Capability maturity model integration, Carnegie Mellon University, Pittsburg, PA, USA, April 2017
Strother N, Ravens S (2019) Finding the ROI in digital transformation – case studies and analysis of the OSIsoft PI system, Navigant Research, Navigant Consulting Inc. pp 2–5, 26
Alcácer V, Cruz-Machado V (2019) Scanning the Industry 4.0: a literature review on technologies for manufacturing systems. Eng Sci Tech J. www.elsevier.com
Lu Y, Morris KC (2016) Current standards landscape for smart manufacturing systems, National Institute of Standards and Technology (NIST), US Dept of Commerce, Feb 2016. http://dx.doi.org/10.6028/NIST.IR.8107
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The, YL., Kuusk, A.G. (2021). Aligning IIoT and ISA-95 to Improve Asset Management in Process Industries. In: Crespo Márquez, A., Komljenovic, D., Amadi-Echendu, J. (eds) 14th WCEAM Proceedings. WCEAM 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-64228-0_14
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