Abstract
The design and evaluation of product-service systems (PSS) constitutes a challenging problem due to its multidimensionality. This challenge becomes bigger when the PSS customization is required within the new manufacturing paradigm of Industry 4.0. Nevertheless, limited literature work is observed regarding the customization of PSS and the PSS investigation within the Industry 4.0. Towards bridging these gaps, the present research work proposes a methodology for the quantification of PSS customization complexity, considering Industry 4.0 aspects. The proposed metrics are applied in a real industrial case study from a large laser machining industry, aiming to evaluate the different PSS alternatives in terms of complexity. It is demonstrated that the proposed approach can support the strategic level decision-making of a company, by quantifying the complexity and producing additional meaningful information towards the selection of the product and services that could be designed and offered to the customers.
Similar content being viewed by others
References
Mourtzis D, Doukas M (2014) The evolution of manufacturing systems: from craftsmanship to the era of customisation. In: Handbook of Research on Design and Management of Lean Production Systems, US, America
Meier H, Roy R, Seliger G (2010) Industrial product-service systems-IPS2. CIRP Ann Manuf Technol 59:607–627. https://doi.org/10.1016/j.cirp.2010.05.004
Shimomura Y, Nemoto Y, Kimita K (2015) A method for analyzing conceptual design process of product-service systems. CIRP Ann Manuf Technol 64:145–148. https://doi.org/10.1016/j.cirp.2015.04.035
Goedkoop MJ et al (1999) Product service systems, ecological and economic basics. Pre Consult Amersfoort. https://doi.org/10.1111/j.1365-294X.2004.02125.x
Lee S et al (2012) Dynamic and multidimensional measurement of product-service system (PSS) sustainability: a triple bottom line (TBL)-based system dynamics approach. J Clean Prod 32:173–182. https://doi.org/10.1016/j.jclepro.2012.03.032
Xing K, Wang HF, Qian W (2013) A sustainability-oriented multi-dimensional value assessment model for product-service development. Int J Prod Res 51:5908–5933. https://doi.org/10.1080/00207543.2013.810349
Chen D et al (2015) PSS solution evaluation considering sustainability under hybrid uncertain environments. Expert Syst Appl 42:822–5838. https://doi.org/10.1016/j.eswa.2015.04.003
Huang GQ et al (2011) Establishing production service system and information collaboration platform for mold and die products. Int J Adv Manuf Technol 52:1149–1160. https://doi.org/10.1007/s00170-010-2762-8
Zhu QQ et al (2011) Implementing an industrial product-service system for CNC machine tool. Int J Adv Manuf Technol 52:1133–1147. https://doi.org/10.1007/s00170-010-2761-9
Baines TS et al (2007) State-of-the-art in product service-systems. Proc Inst Mech Eng B J Eng Manuf 221:1–11. https://doi.org/10.1243/09544054JEM858
Komoto H, Tomiyama T (2008) Integration of a service CAD and a life cycle simulator. CIRP Ann Manuf Technol 57:9–12. https://doi.org/10.1016/j.cirp.2008.03.001
Vasantha G et al (2012) A review of product–service systems design methodologies. J Eng Des 23:635–659. https://doi.org/10.1080/09544828.2011.639712
Tran T, Park JY (2015) Development of a strategic prototyping framework for product service systems using co-creation approach. Procedia CIRP 30:1–6. https://doi.org/10.1016/j.procir.2015.02.102
Chryssolouris G (2006) Manufacturing systems: theory and practice, 2nd edn. Springer-Verlag, New York
Pine J (1993) Mass customization: the new frontier in business competition. Harvard Business Press
Da Silveira G, Borenstein D, Fogliatto FS (2001) Mass customization: literature review and research directions. Int J Prod Econ 72:1–13. https://doi.org/10.1016/S0925-5273(00)00079-7
Hu HA et al (2012) Development of sustainability evaluation model for implementing product service systems. Int J Environ Sci Technol 9:343–354. https://doi.org/10.1007/s13762-012-0037-7
Papakostas N, Makris S, Xanthakis V, Chryssolouris G (2008) Supply chain modeling and control for producing highly customized products. CIRP Ann Manuf Technol 57:451–454. https://doi.org/10.1016/j.cirp.2008.03.106
Mourtzis D, Doukas M (2013) Decentralized manufacturing systems review: challenges and outlook. Robust Manufacturing Control: Proceedings of the CIRP Sponsored Conference RoMaC 2012 355–369. https://doi.org/10.1007/978-3-642-30,749-2_26.
Song W, Sakao T (2016) Service conflict identification and resolution for design of product-service offerings. Comput Ind Eng 98:91–101. https://doi.org/10.1016/j.cie.2016.05.019
Kuo TC (2013) Mass customization and personalization software development: a case study eco-design product service system. J Intell Manuf 24:1019–1031. https://doi.org/10.1007/s10845-012-0643-8
Tu JC et al (2013) Construction of customization development procedures in product service systems. J Ind Product Eng 30:303–326. https://doi.org/10.1080/21681015.2013.838807
Waltemode S, Mannweiler C, Aurich JC (2012) Life cycle oriented quality assessment of technical product-service systems. Leveraging Technol Sustain World:49–54. https://doi.org/10.1007/978-3-642-29069-5_9
Geum Y, Park Y (2011) Designing the sustainable product-service integration: a product-service blueprint approach. J Clean Prod 19:1601–1614. https://doi.org/10.1016/j.jclepro.2011.05.017
Dong M, Yang D, Su L (2011) Ontology-based service product configuration system modeling and development. Expert Syst Appl 38:11770–11,786. https://doi.org/10.1016/j.eswa.2011.03.064
Mourtzis D, Fotia S, Vlachou E, Koutoupes A (2017) A lean PSS design and evaluation framework supported by KPI monitoring and context sensitivity tools. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-017-0132-5
Sousa-Zomer TT, Miguel PAC (2017) A QFD-based approach to support sustainable product-service systems conceptual design. Int J Adv Manuf Technol 88:701–717. https://doi.org/10.1007/s00170-016-8809-8
Monostori L et al (2016) Cyber-physical systems in manufacturing. CIRP Ann Manuf Technol 65:621–641. https://doi.org/10.1016/j.cirp.2016.06.005
Lee J, Bagheri B, Kao H (2015) A cyber-physical systems architecture for Industry 4 .0-based manufacturing systems. Manuf Lett 3:18–23. https://doi.org/10.1016/j.mfglet.2014.12.001
Wang S et al (2016) Towards smart factory for industry 4.0: a self-organized multi-agent system with big data base d feedback and coordination. Comput Netw 101:158–168. https://doi.org/10.1016/j.comnet.2015.12.017
Mourtzis D et al (2016) Applications for frugal product customization and design of manufacturing networks. Procedia CIRP 52:228–233. https://doi.org/10.1016/j.procir.2016.07.055
Mourtzis D et al (2016) Cloud-based adaptive process planning considering availability and capabilities of machine tools. J Manuf Syst 39:1–8. https://doi.org/10.1016/j.jmsy.2016.01.003
Bajestani MA, Banjevic D, Beck JC (2014) Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions. Int J Product Res Taylor Francis 52:7377–7400. https://doi.org/10.1080/00207543.2014.931609
Tien JM (2012) The next industrial revolution: integrated services and goods. J Syst Sci Syst Eng 21:257–296. https://doi.org/10.1007/s11518-012-5194-1
Renu RS, Mocko G, Koneru A (2013) Use of big data and knowledge discovery to create data backbones for decision support systems. Procedia Comput Sci 20:446–453. https://doi.org/10.1016/j.procs.2013.09.301
Elmaraghy W et al (2012) Complexity in engineering design and manufacturing. CIRP Annals - Manufacturing Technology. CIRP 61(2):793–814. https://doi.org/10.1016/j.cirp.2012.05.001
Chryssolouris G, Vassiliou E, Mavrikios D (2006) Application of information theory to the quantification of concurrent engineering processes. 13th International Conference on Concurrent Engineering (ISPE) 679–695
Efthymiou K et al (2012) Manufacturing systems complexity review: challenges and outlook. Procedia CIRP 3:644–649. https://doi.org/10.1016/j.procir.2012.07.110
ElMaraghy H et al (2013) Product variety management. CIRP Ann Manuf Technol 62:629–652. https://doi.org/10.1016/j.cirp.2013.05.007
Mourtzis D, Fotia S, Boli N (2017) Metrics definition for the product-service system complexity within mass customization and industry 4.0 environment. ICE IEEE 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) 1207–1213
Mourtzis D, Fotia S, Boli N, Vlachou E (2017) An approach for the modeling and quantification of PSS customisation. Int J Prod Res:1–17. https://doi.org/10.1080/00207543.2017.1378956
Erkoyuncu JA et al (2011) Understanding service uncertainties in industrial product-service system cost estimation. Int J Adv Manuf Technol 52:1223–1238. https://doi.org/10.1007/s00170-010-2767-3
Alexopoulos K, Koukas S, Boli N, Mourtzis D (2017) Resource planning for the installation of industrial product service systems. Adv Product Manag Syst:205–213. https://doi.org/10.1007/978-3-319-66926-7_24
Acknowledgements
This work has been partially supported by the H2020 EC funded project “An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle – ICP4Life” (GA No. 636862).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Mourtzis, D., Fotia, S., Boli, N. et al. Product-service system (PSS) complexity metrics within mass customization and Industry 4.0 environment. Int J Adv Manuf Technol 97, 91–103 (2018). https://doi.org/10.1007/s00170-018-1903-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-018-1903-3