IAMM: A Maturity Model for Measuring Industrial Analytics Capabilities in Large-scale Manufacturing Facilities



Published Nov 13, 2020
Peter O’Donovan Ken Bruton Dominic T.J. O’Sullivan


Industrial big data analytics is an emerging multidisciplinary field, which incorporates aspects of engineering, statistics and computing, to produce data-driven insights that can enhance operational efficiencies, and produce knowledgebased competitive advantages. Developing industrial big data analytics capabilities is an ongoing process, whereby facilities continuously refine collaborations, workflows and processes to improve operational insights. Such activities should be guided by formal measurement methods, to strategically identify areas for improvement, demonstrate the impact of analytics initiatives, as well as deriving benchmarks across facilities and departments. This research presents a formal multi-dimensional maturity model for approximating industrial analytics capabilities, and demonstrates the model’s ability to assess the impact of an initiative undertaken in a real-world facility.

Abstract 238 | PDF Downloads 250



industrial big data, big data analytics, industrial analytics, smart manufacturing, maturity model, assessment

Abdel-Fattah, Manal A. 2015. “Grounded Theory and Action Research as Pillars for Interpretive Information Systems Research: A Comparative Study.” Egyptian Informatics Journal 16(3): 309–27. http://dx.doi.org/10.1016/j.eij.2015.07.002.
Ayca, Tarhan, Turetken Oktay, Ir Hajo, and A Reijers. 2016. “Business Process Maturity Models: A Systematic Literature Review.” Information and Software Technology 75: 122–34. http://dx.doi.org/10.1016/j.infsof.2016.01.010.
Bacnet, How. 2006. “White Paper : BACnet vs . Lon – The War Is Over.” : 1–3.
Becker, Jörg, Ralf Knackstedt, and Jens Pöppelbuß. 2009. “Developing Maturity Models for IT Management.” Business & Information Systems Engineering 1(3): 213–22.
De Bruin, Tonia, Ronald Freeze, Uday Kaulkarni, and Michael Rosemann. 2005. “Understanding the Main Phases of Developing a Maturity Assessment Model.” Australasian Conference on Information Systems (ACIS): 8–19. http://eprints.qut.edu.au/25152/.
Chand, Sujeet, and Jim Davis. 2010. “What Is Smart Manufacturing ?” Time Magazine.
Data Mining Group. 2016. “PMML 4.3.” Data Mining Group. http://dmg.org/pmml/v4-3/GeneralStructure.html.
Davis, Jim et al. 2012. “Smart Manufacturing, Manufacturing Intelligence and Demand-Dynamic Performance.” Computers & Chemical Engineering 47: 145–56. http://linkinghub.elsevier.com/retrieve/pii/S0098135412002219 (January 10, 2014).
Dinter, Barbara. 2012. “The Maturing of a Business Intelligence Maturity Model.” Proceedings of the Eighteenth Americas Conference on Informaiton Systems: 1–10.
Donovan, Peter O et al. 2015. “A Data Pipeline for PHM Data-Driven Analytics in Large-Scale Smart Manufacturing Facilities.” Annual Conference of the Prognostics and Health Management Society (September): 367–76.
Fosso Wamba, Samuel et al. 2015. “How ‘big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study.” International Journal of Production Economics: 1–13. http://linkinghub.elsevier.com/retrieve/pii/S0925527314004253.
Halper, Fern, and Krish Krishnan. 2014. “TDWI Big Data Maturity Model Guide.” RDWi Resarch 2013–2014: 1–20.
Hazen, Benjamin T., Christopher a. Boone, Jeremy D. Ezell, and L. Allison Jones-Farmer. 2014. “Data Quality for Data Science, Predictive Analytics, and Big Data in Supply Chain Management: An Introduction to the Problem and Suggestions for Research and Applications.” International Journal of Production Economics 154: 72–80. http://linkinghub.elsevier.com/retrieve/pii/S0925527314001339 (May 25, 2014).
Hong, Xu, and Wang Jianhua. 2006. “Using Standard Components in Automation Industry: A Study on OPC Specification.” Computer Standards & Interfaces 28(4): 386–95. http://linkinghub.elsevier.com/retrieve/pii/S0920548905000814 (October 19, 2012).
IBM. 2016. “Big Data & Analytics Maturity Model.”
IDC. 2016. “CSC Big Data Maturity Tool.”
Infotech. 2016. “Big Data Maturity Assessment Tool.” https://www.infotech.com/research/ss/it-develop-apattern- based-big-data-strategy-to-accelerate-big-datavalue/ it-big-data-maturity-assessment-tool.
Kastner, Wolfgang, Georg Neugschwandtner, Stefan Soucek, and H Michael Newman. 2005. “Communication Systems for Building Automation and Control.” 93(6).
Knowledgent. 2016. “Big Data Maturity Assessment.” Koehler, Jana, Roland Woodtly, and Joerg Hofstetter. 2015. “An Impact-Oriented Maturity Model for IT-Based Case Management.” Information Systems 47: 278–91. http://dx.doi.org/10.1016/j.is.2013.12.003.
Kohlegger, M., R. Maier, and S. Thalmann. 2009. “Understanding Maturity Models Results of a Structured Content Analysis.” Proceedings of IKNOW ’09 and ISEMANTICS ’09 (September): 51–61. http://iwi.uibk.ac.at/download/downloads/Publikationen/KMM.pdf.
Kumar, Praveen, Bhawna Dhruv, Seema Rawat, and Vijay S Rathore. 2014. “Present and Future Access Methodologies of Big Data.” International Journal of Advance Research in Science and Engineering 8354(3): 541–47.
Lahrmann, Gerrit, and Frederik Marx. 2010. “Systematization of Maturity Model Extensions.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6105 LNCS: 522–25.
Lahrmann, Gerrit, Frederik Marx, Robert Winter, and Felix Wortmann. 2011. “Business Intelligence Maturity Models : An Overview.” 44th Hawaii International Conference on System Sciences: 1–12. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5718882.
Lee, Jay, Behrad Bagheri, and Hung-an Kao. 2015. “A Cyber-Physical Systems Architecture for Industry 4.0- Based Manufacturing Systems.” Manufacturing Letters 3(September 2015): 18–23. http://www.sciencedirect.com/science/article/pii/S221384631400025X (January 14, 2015).
Lee, Jay, Hung-An An Kao, and Shanhu Yang. 2014. “Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment.” Procedia CIRP 16: 3–8. http://www.sciencedirect.com/science/article/pii/S2212827114000857 (July 14, 2014).
Lee, Jay, Edzel Lapira, Behrad Bagheri, and Hung-an Kao. 2013. “Recent Advances and Trends in Predictive Manufacturing Systems in Big Data Environment.” Manufacturing Letters 1(1): 38–41. http://linkinghub.elsevier.com/retrieve/pii/S2213846313000114 (January 10, 2014).
McKinsey. 2011. Big Data : The next Frontier for Innovation , Competition , and Productivity.
Mettler, Tobias. 2009. “A Design Science Research Perspective on Maturity Models in Information Systems.” Universiteit St. Gallen, St. Gallen, Switzerland, Technical Report BE IWI/HNE/03 41(0). http://ehealth.iwi.unisg.ch/fileadmin/hne/downloads/20090512_Maturity_Model_Design.pdf.
Ngai, E. W T, D. C K Chau, J. K L Poon, and C. K M To. 2013. “Energy and Utility Management Maturity Model for Sustainable Manufacturing Process.” International Journal of Production Economics 146(2): 453–64.
O’Donovan, Peter, Ken Bruton, and Dominic T.J. O’Sullivan. 2016. “Case Study: The Implementation of a Data-Driven Industrial Analytics Methodology and Platform for Smart Manufacturing.” International Journal of Prognostics and Health Management 7: 1–22.
Ofner, Martin, Boris Otto, and Hubert Österle. 2015. “A Maturity Model for Enterprise Data Quality Management.” Enterprise Modelling and Information Systesms Architectures 8(November).
Oliva, Fábio Lotti. 2016. “A Maturity Model for Enterprise Risk Management.” International Journal of Production Economics 173: 66–79. http://linkinghub.elsevier.com/retriev/pii/S0925527315005320.
Philip Chen, C.L., and Chun-Yang Zhang. 2014. “Data- Intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data.” Information Sciences 275: 314–47.
http://linkinghub.elsevier.com/retrieve/pii/S0020025514000346 (March 20, 2014).
Poeppelbuss, Jens, Bjoern Niehaves, Alexander Simons, and Jörg Becker. 2011. “Maturity Models in Information Systems Research: Literature Search and Analysis.” Communications of the Association for Information Systems 29(1): 506–32.
Potter, Dan. 2014. “Industrial Analytics Powered by the Internet of Things Industrial.” (2).
Radcliffe, By John. 2014. “Leverage a Big Data Maturity Model to Build Your Big Data Roadmap.” Radcliffe Advisory Services Ltd (January). www.radcliffeadvisory.com.
Rajterič, I Hribar. 2010. “Overview of Business Intelligence Maturity Models.” Management: Journal of Contemporary Management … 15: 47–67. http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=81745.
Torrecilla-Salinas, C. J., J. Sedeño, M. J. Escalona, and M. Mejías. 2016. “Agile, Web Engineering and Capability Maturity Model Integration: A Systematic Literature Review.” Information and Software Technology 71: 92–107.
Vera-baquero, Alejandro, Ricardo Colomo-palacios, and Owen Molloy. 2014. “Towards a Process to Guide Big Data Based Decision Support Systems for Business Processes.” In Conference on ENTERprise Information Systems Towards,.
Verivue, Steve Vinoski. 2008. “RPC and REST.” De Villiers, M. R. 2005. “Three Approaches as Pillars for Interpretive Information Systems Research: Development Research, Action Research and Grounded Theory.” South African Institute of Computer Scientists and Information Technologists: 111–20.
Wright, Paul. 2014. “Cyber-Physical ProductManufacturing.” Manufacturing Letters 2(2): 49–53. http://www.sciencedirect.com/science/article/pii/S2213846313000187.
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