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Creating the foundation for digital twins in the manufacturing industry: an integrated installed base management system

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Abstract

Services play an important role in the manufacturing industry. A shift in emphasis from selling physical products to offering product–service systems is perceived. Detailed knowledge of machines, components and subcomponents in whole plants must be provided. Installed base management contributes to this and enables services in manufacturing to maintain high machine availability and reduce downtimes. Installed base management assists in data structuring and management. By combining installed base data with sensor data, a digital twin of the installed base results. Following the action design research approach, an integrated installed base management system for manufacturing is presented and implemented in practice. An engineering and manufacturing company is involved in the research process and ensures practical relevance. Requirements are not only deduced from the literature but also identified in focus group discussions. A detailed test run with real data is performed for evaluation purpose using a demonstration machine. To enable a generalization, design principles for the development and implementation of such an integrated installed base management system are created.

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References

  • Alam KM, El Saddik A (2017) A digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access 5:2050–2062. https://doi.org/10.1109/ACCESS.2017.2657006

    Article  Google Scholar 

  • Bagheri B, Yang S, Kao H-A, Lee J (2015) Cyber-physical systems architecture for self-aware machines in industry 4.0 environment. IFAC PapOnline 48(3):1622–1627. https://doi.org/10.1016/j.ifacol.2015.06.318

    Article  Google Scholar 

  • Barrett M, Davidson E, Prabhu J, Vargo SL (2015) Service innovation in the digital age: key contributions and future directions. MISQ 39(1):135–154. https://doi.org/10.25300/misq/2015/39:1.03

    Article  Google Scholar 

  • Borchers HW, Karandikar H (2006) A data warehouse approach for estimating and characterizing the installed base of industrial products. In: Proceedings of the 2006 international conference on service systems and service management, Troyes, October 25–27, 2006, pp 53–59. https://doi.org/10.1109/icsssm.2006.320588

  • Cohen MA (2012) Product performance based business models: a service based perspective. In: Proceedings of the 45th Hawaii international conference on system sciences, Maui, January 4–7, pp 4814–4819. https://doi.org/10.1109/hicss.2012.672

  • Demoly F, Kiritsis D (2012) Asset optimization and predictive maintenance in discrete manufacturing industry. IFAC Proc 45(31):1–6. https://doi.org/10.3182/20121122-2-ES-4026.00033

    Article  Google Scholar 

  • Desta T, Garfield M, Meshesha M (2014) Proposing a knowledge management system (KMS) architecture to promote knowledge sharing among employees. In: Proceedings of the European conference on information systems, Tel Aviv, June 9–11, 2014, Paper 7

  • Dillon A, Turnbull D (2005) Information architecture. Encycl Libr Inf Sci. https://doi.org/10.1081/E-ELIS-120017582

    Google Scholar 

  • Dreyer S, Olivotti D, Lebek B, Breitner MH (2017) Towards a smart services enabling information architecture for installed base management in manufacturing. In: Wirtschaftsinformatik proceedings 2017, St. Gallen, Switzerland, February 12–15, 2017, pp 31–45

  • Fabian B, Kunz S, Konnegen M, Müller S, Günther O (2012) Access control for semantic data federations in industrial product-lifecycle management. Comput Ind 63:930–940. https://doi.org/10.1016/j.compind.2012.08.015

    Article  Google Scholar 

  • Fellmann M, Hucke S, Breitschwerdt R, Thomas O, Blinn N, Schlicker M (2011) Supporting technical customer services with mobile devices: towards an integrated information system architecture. In: Proceedings of the 17th Americas conference on information systems, Detroit, August 4–8, 2011, Paper 250

  • Gabor T, Belzner L, Kiermeier M, Beck MT, Neitz A (2016) A simulation-based architecture for smart cyber-physical systems. In: Proceedings of the 13th IEEE international conference on autonomic computing, Würzburg, July 18–22, 2016, pp 374–379. https://doi.org/10.1109/icac.2016.29

  • Haider A (2011) Information technologies for engineering asset management—cultural and technical barriers. In: Proceedings of the international conference on information resources management, Seoul, June 12–14, 2011, Paper 4

  • Hassanzadeh A, Modi S, Mulchandani S (2015) Towards effective security control assignment in the Industrial Internet of Things. In: Proceedings of the 2nd IEEE world forum on internet of things Milan, Italia, December 14–16, 2015, pp 795–800

  • Herterich M, Peters C, Neff A, Uebernickel F, Brenner W (2015) Mobile work support for field service: a literature review and directions for future research. In: Wirtschaftsinformatik proceedings 2015, Osnabrück, Germany, March 4–6, 2015, Paper 10

  • Iivari J (2007) A paradigmatic analysis of information systems as a design science. Scand J Inf Syst 19(2):39–64

    Google Scholar 

  • Iung B, Levrat E, Crespo Marquez A, Erbe H (2007) E-maintenance: principles. Rev Concept Framew IFAC Proc 40(19):19–29. https://doi.org/10.3182/20071002-MX-4-3906.00005

    Google Scholar 

  • Ivezic N, Kulvatunyou B, Srinivasan V (2014) On architecting and composing through-life engineering information services to enable smart manufacturing. Proc CIRP 22:45–52. https://doi.org/10.1016/j.procir.2014.07.004

    Article  Google Scholar 

  • Jalil MN, Zuidwijk RA, Fleischmann M, van Nunen JAEE (2011) Spare parts logistics and installed base information. J Oper Res Soc 62(3):442–457. https://doi.org/10.1057/jors.2010.38

    Article  Google Scholar 

  • Jun H-B, Shin J-H, Kiritsis D, Xirouchakis P (2007) System architecture for closed-loop PLM. Int J Comput Integrat Manuf 20(7):684–698. https://doi.org/10.1080/09511920701566624

    Article  Google Scholar 

  • Kennedy D, Keskin T (2016) A pricing model for the internet of things enabled smart service systems. In: Proceedings of the 49th Hawaii international conference on system sciences, Kauai, January 5–8, 2016, pp 1782–1789

  • Kuhn T (2017) Digitaler Zwilling. Inf Spektrum 40(5):440–444. https://doi.org/10.1007/s00287-017-1061-2

    Article  Google Scholar 

  • Lee J, Ardakani HD, Yang S, Bagheri B (2015) Industrial big data analytics and cyber-physical systems for future maintenance and service innovation. Proc CIRP 38:3–7. https://doi.org/10.1016/j.procir.2015.08.026

    Article  Google Scholar 

  • Li H, Parlikad AK (2016) Social internet of industrial things for industrial and manufacturing assets. IFAC PapOnline 49(28):208–213. https://doi.org/10.1016/j.ifacol.2016.11.036

    Article  Google Scholar 

  • Lin S, Gao J, Koronios A (2006) Validating a data quality framework in engineering asset management. In: Proceedings of the 17th Australasian conference on information systems, Adelaide, December 6–8, 2006, Paper 75

  • Lindgren R, Henfridsson O, Schultze U (2004) Design principles for competence management systems: a synthesis of an action research study. MISQ 28(3):435–472

    Article  Google Scholar 

  • Marchetta MG, Mayer F, Forradellas RQ (2011) A reference framework following a proactive approach for product lifecycle management. Comput Ind 62:672–683. https://doi.org/10.1016/j.compind.2011.04.004

    Article  Google Scholar 

  • Mert G, Herder CF, Menck N, Aurich JC (2016) Innovative services for customized, availability-oriented business models for the capital goods industry. Proc CIRP 47:501–506. https://doi.org/10.1016/j.procir.2016.03.223

    Article  Google Scholar 

  • Mouna BC, Dakhli SBD (2016) Knowledge management systems: a multidimensional analysis. In: Proceedings of the 10th Mediterranean conference on information systems, Paphos, September 4–6, 2016, Paper 52

  • Neff AA, Hamel F, Herz TP, Uebernickel F, Brenner W (2013) Developing a maturity model for product–service systems in manufacturing enterprises. In: Proceedings of the 17th Pacific Asia conference on information systems, Jeju Island, June 18–22, 2013, Paper 144

  • Neff AA, Hamel F, Herz TP, Uebernickel F, Brenner W, vom Brocke J (2014) Developing a maturity model for service systems in heavy equipment manufacturing enterprises. Inf Manag 51:895–911. https://doi.org/10.1016/j.im.2014.05.001

    Article  Google Scholar 

  • Oliva R, Kallenberg R (2003) Managing the transition from products to services. Int J Serv Ind Manag 14(2):160–172. https://doi.org/10.1108/09564230310474138

    Article  Google Scholar 

  • Olivotti D, Passlick J, Dreyer S, Lebek B, Breitner MH (2018a) Maintenance planning using condition monitoring data. In: Kliewer N, Ehmke JF, Borndörfer R (eds) Operations research proceedings 2017. Springer, Cham, Switzerland, pp 543–548

    Chapter  Google Scholar 

  • Olivotti D, Passlick J, Axjonow A, Eilers D, Breitner MH (2018b) Combining machine learning and domain experience: a hybrid-learning monitor approach for industrial machines. In: Proceedings of the international conference on exploring service science 2018, Karlsruhe, Germany, September 19–21, 2018 (to be published)

  • Pollmann M (2017) Sichere Produktion im IIoT: Hardware-basierte Sicherheitslösungen schützen Daten und Systeme. Z wirtsch Fabrikbetr 112:257–260. https://doi.org/10.3139/104.111705

    Article  Google Scholar 

  • Rai A, Sambamurthy V (2006) Editorial notes—the growth of interest in services management: opportunities for information systems scholars. Inf Syst Res 17(4):327–331. https://doi.org/10.1287/isre.1060.0108

    Article  Google Scholar 

  • Rosemann M, Vessey I (2008) Toward improving the relevance of information systems research to practice: the role of applicability checks. MISQ 32(1):1–22

    Article  Google Scholar 

  • Rosen R, von Wichert G, Lo G, Bettenhausen KD (2015) About the importance of autonomy and digital twins for the future of manufacturing. IFAC PapOnLine 48(3):567–572. https://doi.org/10.1016/j.ifacol.2015.06.141

    Article  Google Scholar 

  • Schmidt A, Otto B, Österle H (2011) A functional reference model for manufacturing execution systems in the automotive industry. In: Wirtschaftsinformatik proceedings 2011, Zurich, Switzerland, February 16–18, 2011, Paper 89

  • Schmidt B, Wang L, Galara D (2017) Semantic framework for predictive maintenance in a cloud environment. Proc CIRP 62:583–588. https://doi.org/10.1016/j.procir.2016.06.047

    Article  Google Scholar 

  • Schröder WE, Sagadin J (2013) Das Management des Produktionsfaktors Anlage—Von der betrieblichen Instandhaltung zur ganzheitlichen integrierten Anlagenbewirtschaftung. Berg- und Hüttenmännische Monatsh 158(7):274–277. https://doi.org/10.1007/s00501-013-0155-7

    Article  Google Scholar 

  • Schrödl H, Bensch S (2013) E-procurement of cloud-based information systems—a product–service system approach. In: Proceedings of the 34th international conference on information systems, Milan, December 15–18

  • Sein MK, Henfridsson O, Purao S, Rossi M, Lindgren R (2011) Action design research. MISQ 35(1):37–56

    Article  Google Scholar 

  • Shih SC, Hsu SHY, Zhu Z, Balasubramanian SK (2012) Knowledge sharing—a key role in the downstream supply chain. Inf Manag 49:70–80. https://doi.org/10.1016/j.im.2012.01.001

    Article  Google Scholar 

  • Suh S-H, Yoon J-S, Yoon S-C (2011) Ubiquitous factory: vision, architecture and methodology. IFAC Proc 44(1):1608–1613. https://doi.org/10.3182/20110828-6-IT-1002.03093

    Article  Google Scholar 

  • Wagner C, Epple U, Grothoff J, Drath R, Hoffmeister M, Malakuti S, Grüner S, Zimmermann P (2017) The role of the industry 4.0 asset administration shell and the digital twin during the life cycle of a plant. In: Proceedings of the 22nd IEEE international conference on emerging technologies and factory automation, Limassol, September 12–15, pp 1–8

  • Webster J, Watson RT (2002) Analyzing the past to prepare for the future: writing a literature review. MISQ 22(6):xiiii–xxiii

    Google Scholar 

  • Wohlfeld D, Weiss V, Becker B (2017) Digital shadow—from production to product. In: Proceedings of the 17. Internationales Stuttgarter Symposium Automobil- und Motorentechnik, Stuttgart, Germany, March 14–15, 2017, pp 783–794. https://doi.org/10.1007/978-3-658-16988-6_61

  • Xiang F, Yin Q, Wang Z, Jiang GZ (2018) Systematic method for big manufacturing data integration and sharing. Int J Adv Manuf Technol 94:3345–3358. https://doi.org/10.1007/s00170-017-0575-8

    Article  Google Scholar 

  • Yang KH (2008) Finding critical success factors of ubiquitous supply chain management. In: Proceedings of the 12th Pacific Asia conference on information systems, Suzhou, July 10–12, 2008, Paper 22

  • Zhuang C, Liu J, Xiong H (2018) Digital twin-based smart production management and control framework for the complex product assembly shop-floor. Int J Adv Manuf Technol 96:1149–1163. https://doi.org/10.1007/s00170-018-1617-6

    Article  Google Scholar 

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Authors and Affiliations

  1. Information Systems Institute, Leibniz Universität Hannover, Königsworther Platz 1, 30167, Hannover, Germany

    Daniel Olivotti, Sonja Dreyer & Michael H. Breitner

  2. bhn Dienstleistungs GmbH & Co. KG, Hans-Lenze-Straße 1, 31855, Aerzen, Germany

    Benedikt Lebek

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  1. Daniel Olivotti
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  2. Sonja Dreyer
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  3. Benedikt Lebek
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  4. Michael H. Breitner
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Correspondence to Daniel Olivotti.

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Olivotti, D., Dreyer, S., Lebek, B. et al. Creating the foundation for digital twins in the manufacturing industry: an integrated installed base management system. Inf Syst E-Bus Manage 17, 89–116 (2019). https://doi.org/10.1007/s10257-018-0376-0

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  • DOI: https://doi.org/10.1007/s10257-018-0376-0

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