A TRIZ-BASED METHOD FOR SMART PRODUCT DESIGN

Paolo Carrara

Abstract


The business environment of last year’s imposes to manufacturing firms to offer digital and/or smart products. This is a market pushing trend the manufacturers cannot fail to answer. Unfortunately, digitize a non-smart product might entail significative costs due to production process changes. To mini-mise this, Warrant Innovation Lab developed a method based on second and fourth laws of technical system evolution, the energy conductivity law and ideality law, to easily identify what are the key elements on which focus the digital-innovation project. It exploits the energy streams that run throughout the system and the elements they involve, depicting them in Energy Chain Maps. The method and tool result extremely easy to be used and very effective in identify the key elements by which digitize the system.

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References


Commission E.. Multi annual roadmap for the contractual PPP, Horizon 2020, 2020.

Reischauer, G.. Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing, Technol Forecast Soc Change 132, pp. 26–33, 2018. doi:10.1016/j.techfore.20 18.02.012.

Frank, A.G., Mendes, G.H.S., Ayala, N.F., Ghezzi, A.. Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective, Technol Forecast Soc Change 141, pp. 341–351, 2019. doi:10.1016/j. techfore.2019.01.014.

Müller, J.M., Buliga, O., Voigt, K.I.. Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0, Technol Forecast Soc Change 132, pp. 2–17, 2018. doi:10.1016/j.techfore.2017.12.019.

Müller, J.M., Buliga, O., Voigt, K.I.. The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models-A comparison between SMEs and large enterprises, Eur. Manag. J., 2020. doi:10.1016/j.emj.2020.01.002

Ibarra, D., Ganzarain, J.. Manufacturing JI-P, 2018 undefined Business model innovation through Industry 4.0: A review, Elsevier, 2018.

Müller, J.M., Däschle, S.. Business Model Innovation of Industry 4.0 Solution Providers Towards Customer Process Innovation, mdpi.com, 2018. doi:10.3390/pr6120260.

Lee, E.A.. Cyber physical systems: Design challenges, Berkeley, 2008.

Lee, E.A.. CPS foundations, Proceedings of the 47th Design Automation Conference on - DAC ’10, ACM Press, New York, USA, p 737, 2010.

Lee, J., Bagheri, B., Kao, H.A.. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems, Manuf Lett 3, pp. 18–23, 2015. doi:10.1016/j.mfglet.2014.12.001.

Letichevsky, A.A., Letychevskyi, O.O., Skobelev, V.G., Volkov, V.A.. Cyber-Physical Systems, Cybern. Syst. Anal. 53, pp. 821–834, 2017. doi:10.1007/s10559-017-9984-9.

Issa, A., Lucke, D., Bauernhansl, T.. Mobilizing SMEs Towards Industrie 4.0-enabled Smart Products, Procedia CIRP. Elsevier B.V., pp 670–674, 2017.

Hicking, J., Zeller, V., Schuh, G.. Goal-oriented approach to enable new business models for SME using smart products, IFIP Advances in Information and Communication Technology, Springer New York LLC, pp 147–158, 2018.

Zheng, P., Wang, Z., Chen, C.H., Pheng Khoo, L.. A survey of smart product-service systems: Key aspects, challenges and future perspectives, Adv. Eng. Informatics 42, 100973, 2019.

Kohtamäki, M., Parida, V., Patel, P.C., Gebauer, H.. The relationship between digitalization and servitization: The role of servitization in capturing the financial potential of digitalization, Technol Forecast Soc Change 151, 119804, 2020. doi:10.1016/j.techfore.2019.119804

Bilal Ahmed, M., Imran Shafiq, S., Sanin, C., Szczerbicki, E.. Towards Experience-Based Smart Product Design for Industry 4.0, Cybern Syst 50, pp. 165–175, 2019. doi:10.1080/01969722.2019.1565123.

Zawadzki, P., Zywicki, K.. Smart product design and production control for effective mass customization in the industry 4.0 concept, Manag. Prod. Eng. Rev. 7, pp. 105–112, 2016. doi:10.1515/mper-2016-0030.

Zhang, M., Sui, F., Liu, A., Tao, F., Nee, A.Y.C.. Digital twin driven smart product design framework, Digital Twin Driven Smart Design, Elsevier, pp. 3–32, 2020.

Ulsoy, A.G.. Smart product design for automotive systems, Front Mech Eng 14, pp. 102–112, 2019. doi:10.1007/s11465-019-0527-0.

Anderl, R., Picard, A., Albrecht, K.. Smart Engineering for Smart Products, Springer, pp. 1–10, 2013.

Valencia, A., Mugge, R., Schoormans, J.P.L., Schifferstein, R.. The Design of Smart Product-Service Systems (PSSs): An Exploration of Design Characteristics Circular economy, View project Political Psychology, View project, 2015.

Rauch, E., Dallasega, P., Matt, D.T.. The Way from Lean Product Development (LPD) to Smart Product Development (SPD), Procedia CIRP., pp. 26–31, 2016.

Altshuller, G.. Creativity as an exact science: The theory of the solution of inventive problems, Gordon and Breach, Amsterdam, 1984.

Russo, D., Carrara, P., Marusi, M.. Innovation Lab: How to Generate Patents in One Day, Cavallucci D., de Guio R., Koziolek S. (eds) TRIZ Future Conference 2018, Professional Proceedings, 2018.

Russo, D., Carrara, P.. Innovation Lab: New TRIZ Tools for Fast Idea Triggering, IFIP Adv. Inf. Commun. Technol. 572, pp. 16–25, 2019. doi:10.1007/978-3-030-32497-1_2.

Livotov, P.. Method for Quantitative Evaluation of Innovation Tasks for Technical Systems, Products and Processes, Proceedings of ETRIA World Conference “Synthesis in Innovation.”, pp 197–199, 2008.

Livotov, P.. Using Patent Information for Identification of New Product Features with High Market Potential, Procedia Eng 131, pp. 1157–1164, 2015. doi:10.1016/j.proeng.2015 .12.438.


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