Abstract
Digitalization, sustainability, and servitization are transforming economy and society globally. Companies are increasingly changing their business model toward providing a data-driven Product Service System (PSS), namely bundles of products and services integrated with some digital technology. Different methods and tools have been proposed to design PSS and, more recently, smart PSS, but they still mainly focus on value propositions and do not address which kind of data can be collected from the operational stage. To overcome this gap, this paper proposes the Data-driven Service Engineering Methodology (D-SEEM) for the design and engineering of data-driven PSS, considering the tradeoff between customer satisfaction and internal efficiency and focusing on data and information. A case study in the professional appliances industry is then proposed to show the application of a part of the methodology in a real context.
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Watanabe, K., Okuma, T., Takenaka, T.: Evolutionary design framework for Smart PSS: service engineering approach. Adv. Eng. Inform. 45, 101119 (2020)
Rapaccini, M., Adrodegari, F.: Conceptualizing customer value in data-driven services and smart PSS. Comput. Ind. 137, 103607 (2022)
Asemani, M., Abdollahei, F., Jabbari, F.: Understanding IoT platforms: towards a comprehensive definition and main characteristic description. In: 2019 5th International Conference on Web Research (ICWR), pp. 172–177 (2019)
Syafrudin, M., Alfian, G., Fitriyani, N.L., Rhee, J.: Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing. Sensors 18, 2946 (2018)
Sakao, T.T.: Increasing value capture by enhancing manufacturer commitment: Part 1 - designing a value co-creation system. IEEE Eng. Manag. Rev. 50, 79–87 (2022)
Bu, L., Chen, C.-H., Ng, K.K.H., Zheng, P., Dong, G., Liu, H.: A user-centric design approach for smart product-service systems using virtual reality: a case study. J. Clean. Prod. 280, 124413 (2021)
Ebel, M., Jaspert, D., Poeppelbuss, J.: Smart already at design time – pattern-based smart service innovation in manufacturing. Comput. Ind. 138, 103625 (2022)
Machchhar, R.J., Toller, C.N.K., Bertoni, A., Bertoni, M.: Data-driven value creation in Smart Product-Service System design: state-of-the-art and research directions. Comput.
Lugnet, J., Ericson, Å., Larsson, T.: Design of product–service systems: toward an updated discourse. Systems 8, 45 (2020)
Pezzotta, G., Pirola, F., Rondini, A., Pinto, R., Ouertani, M.-Z.: Towards a methodology to engineer industrial product-service system–evidence from power and automation industry. CIRP J. Manuf. Sci. Technol. 15, 19–32 (2016)
Pirola, F., Pezzotta, G., Amlashi, D.M., Cavalieri, S.: Design and engineering of Product-Service Systems (PSS): TheSEEM methodology and modeling toolkit. In: Karagiannis, D., Lee, M., Hinkelmann, K., Utz, W. (eds.) Domain-Specific Conceptual Modeling: Concepts, Methods and ADOxx Tools, pp. 385–407. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-93547-4_17
Carmignani, G.: An integrated structural framework to cost-based FMECA: the priority-cost FMECA. Reliab. Eng. Syst. Saf. 94, 861–871 (2009)
Scapens, R.W.: Researching management accounting practice: the role of case study methods. Br. Account. Rev. 22, 259–281 (1990)
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Pirola, F., Pezzotta, G., Arioli, V., Sala, R. (2022). Design and Engineer Data-Driven Product Service System: A Methodology Update. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-031-16411-8_43
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