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A Lean PSS design and evaluation framework supported by KPI monitoring and context sensitivity tools

  • Dimitris Mourtzis
  • Sophia Fotia
  • Ekaterini Vlachou
  • Angelos Koutoupes
ORIGINAL ARTICLE

Abstract

Over the last decade, Product-Service System (PSS) has been established as a prominent business model which promises sustainability. A great amount of literature work has been devoted to PSS issues, but there is fairly limited published work on integrated and easily applicable evaluation methodologies for PSS design, as well as a lack of Lean PSS approaches. Contributing to these directions, the present work introduces a framework for the evaluation and improvement of the Lean PSS design using key performance indicators (KPIs), Lean rules, and sentiment analysis, aiming to feed all the stages of PSS design lifecycle. According to the evaluation phase, a certain appropriate set of KPIs is selected and suggested to the PSS designer via a context-sensitivity analysis (CSA) tool through a pool, which have been identified after intensive literature survey, and systematically classified into five main categories: design, manufacturing, customer, environment, and sustainability. According to the same phase, sentiment analysis has been used to identify the polarity of the customer opinions regarding the PSS offerings. During the phase of Lean design assistance, Lean rules are selected using CSA and are suggested to the designer to ensure the minimization of wasteful activities. Enabler for the context awareness is the availability of feedback gathered from the manufacturing, shop-floor experts, and the different types of customers (business or final-product consumers), as well as the PSS lifecycle which the designer treats. The proposed framework is implemented in a software prototype and is applied in a mold-making industrial case study.

Keywords

Product-service system (PSS) Key performance indicators (KPIs) Lean rules Context sensitivity Sentiment analysis Manufacturing 

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References

  1. 1.
    Mourtzis D, Doukas M (2014) The evolution of manufacturing systems: from craftsmanship to the era of customisation. Handbook of research on design and management of Lean production systems, IGI Global 1–29Google Scholar
  2. 2.
    Neely A, Benedetinni O, Visnjic I (2011) The servitization of manufacturing: further evidence. In: 18th European Operations Management Association Conference, Cambridge ISBN: 978–1–902546-94-0Google Scholar
  3. 3.
    Meier H, Roy R, Seliger G (2010) Industrial product-service systems-IPS2. CIRP Ann Manuf Technol 59:607–627CrossRefGoogle Scholar
  4. 4.
    Baines TS, Lightfoot H, Steve E, Neely A, Greenough R, Peppard J, Roy R, Shehab E, Braganza A, Tiwari A, Alcock J, Angus J, Bastl M, Cousens A, Irving P, Johnson M, Kingston J, Lockett H, Martinez V, Michele P, Tranfield D, Walton I, Wilson H (2007) State-of-the-art in product-service systems. Proceedings of the Institution of Mechanical Engineers. J Eng Manuf 221(10):1543–1552CrossRefGoogle Scholar
  5. 5.
    Kimita K, Shimomura Y, Arai T (2009) Evaluation of customer satisfaction for PSS design. J Manuf Technol Manag 20(5):654–673CrossRefGoogle Scholar
  6. 6.
    Shimomura Y, Nemoto Y, Kimita K (2015) A method for analysing conceptual design process of product-service systems. CIRP Ann 64(1):145–148CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Charette, RN (2009) This car runs on code, IEEE spectrum. http://www.real-programmer.com/interesting_things/IEEE%20SpectrumThisCarRunsOnCode.pdf . Accessed 27 June 2016
  9. 9.
    Huang GQ, Qu T, Zhong RY, Li Z, Yang HD, Zhang YF, Chen QX, Jiang PY, Chen X (2011) Establishing production service system and information collaboration platform for mold and die products. Int J Adv Manuf Technol 52:1149–1160CrossRefGoogle Scholar
  10. 10.
    Murman E, Allen T, Bozdogan K, Cutcher-Gershenfeld J, McManus H, Nightingale D, Rebentisch E, Shields T, Stahl F, Walton M, Warmkessel J, Weiss S, Widnall S (2002) Lean enterprise value. Palgrave, New YorkCrossRefGoogle Scholar
  11. 11.
    Dal Forno AJ, Pereira FA, Forcellini FA, Kipper LM (2014) Value stream mapping: a study about the problems and challenges found in the literature from the past 15 years about application of lean tools. Int J Adv Manuf Technol 72:779–790Google Scholar
  12. 12.
    Chryssolouris G (2006) Manufacturing systems: theory and practice . 2nd. Springer-Verlag, New YorkGoogle Scholar
  13. 13.
    Mourtzis D, Fotia S, Gamito M, Neves-Silva R, Correia A, Spindler P, Pezzotta G, Rossi M (2016) PSS design considering feedback from the entire product-service lifecycle and social media, CIRP IPSS 2016. Procedia CIRP 47:156–161CrossRefGoogle Scholar
  14. 14.
    Mourtzis D, Doukas M, Fotia S (2016) Classification and mapping of PSS evaluation approaches. IFAC-PapersOnLine 49(12):1555–1560CrossRefGoogle Scholar
  15. 15.
    Tran Τ, Park J (2015) Development of a strategic prototyping framework for product service systems using co-creation approach. IPSS Procedia CIRP 30:1–6CrossRefGoogle Scholar
  16. 16.
    Mourtzis D, Papakostas N, Mavrikios D, Makris S, Alexopoulos K (2015) The role of simulation in digital manufacturing–applications and outlook. IJCIM 28(1):3–24Google Scholar
  17. 17.
    Stokic D, Correia AT. Context sensitive Web service engineering environment for product extensions in manufacturing industry. In: 7th International Conferences on Advanced Service Computing (Service Computation 2015), Nice, France. ISBN: 978–1–61208-387-2.Google Scholar
  18. 18.
    Internet World Stat (2014) www.internetworldstats.com/stats.htm. Accessed 2 Aug. 206.
  19. 19.
    Mourtzis D (2016) Challenges and future perspectives for the life cycle of manufacturing networks in the mass customisation era. Logist Res 9(2):1–20Google Scholar
  20. 20.
    Isah H, Trundle P, Neagu D (2014) Social media analysis for product safety using text mining and sentiment analysis, 14th UK Workshop on Computational Intelligence (UKCI), pp. 1–7, DOI:  10.1109/UKCI.2014.6930158
  21. 21.
    Elnadi M, Shehab E, Peppard J (2013) Challenges of lean thinking application in product-service system. In: 11th International Conference on Manufacturing Research (ICMR 2013). Cranfield University, Cranfield, pp 461–466Google Scholar
  22. 22.
    Resta B, Powell D, Gaiardelli P, Dotti S (2015) Towards a framework for lean operations in product-oriented product service systems. CIRP J Manuf Sci Technol 9:12–22CrossRefGoogle Scholar
  23. 23.
    Elnadi M, Shehab EA (2014) Conceptual model for evaluating product-service systems leanness in UK manufacturing companies. Procedia CIRP 22:281–286CrossRefGoogle Scholar
  24. 24.
    Sassanelli C, Pezzotta G, Rossi M, Terzi S, Cavalieri S (2015) Towards a lean product service systems (PSS) design: state of the art, opportunities and challenges. Procedia CIRP 30:191–196CrossRefGoogle Scholar
  25. 25.
    Sousa-Zomer TT, Cauchick Miguel PA (2016) A QFD-based approach to support sustainable product-service systems conceptual design. Int J Adv Manuf Technol 88(1):1–17Google Scholar
  26. 26.
    Erkoyuncu JA, Roy R, Shehab E, Cheruvu K (2011) Understanding service uncertainties in industrial product–service system cost estimation. Int J Adv Manuf Technol (2011) 52:1223–1238CrossRefGoogle Scholar
  27. 27.
    Mourtzis D, Fotia S, Vlachou E (2016) PSS design evaluation via KPIs and lean design assistance supported by context sensitivity tools. Procedia CIRP 56:496–501CrossRefGoogle Scholar
  28. 28.
    Mourtzis D, Fotia S, Doukas M (2015) Performance indicators for the evaluation of product-service systems design: a review. IFIP Advances in Information and Communication Technology 460:592–601CrossRefGoogle Scholar
  29. 29.
    Vasantha G, Roy R, Lelah A, Brissaud D (2012) A review of product–service systems design methodologies. J Eng Des 23(9):635–659CrossRefGoogle Scholar
  30. 30.
    Abramovici M, Aidi Y, Quezada A, Schindler T (2014) PSS sustainability assessment and monitoring framework (PSS-SAM)—case study of a multi-module PSS solution. Procedia CIRP 16:140–145CrossRefGoogle Scholar
  31. 31.
    Kim KJ, Lim CH, Heo JY, Lee DH, Hong YS, Park K (2013) An evaluation scheme for product-service system models with a lifecycle consideration from customer’s perspective. In: 20th CIRP International Conference on Life Cycle Engineering pp. 69–74.Google Scholar
  32. 32.
    Xing K, Wang HF, Qian W (2013) A sustainability-oriented multi-dimensional value assessment model for product-service development. Int J Prod Res 51(19):5908–5933CrossRefGoogle Scholar
  33. 33.
    Mert G, Aurich JC (2015) A software demonstrator for measuring the quality of PSS. Procedia CIRP 30:209–214CrossRefGoogle Scholar
  34. 34.
    Ortiz-arroyo D (2009) Discovering sets of key players in social networks. Computational Social Network Analysis pp:27–47Google Scholar
  35. 35.
    Serafini L, Bouquet P (2004) Comparing formal theories of context in AI. Artificial Intelligent 155(2):41–67MathSciNetCrossRefMATHGoogle Scholar
  36. 36.
    Akmal S, Shih LH, Batres R (2014) Ontology-based similarity for product information retrieval. Comput Ind 65:91–107CrossRefGoogle Scholar
  37. 37.
    Karacapilidis N, Christodoulou S, Tzagarakis M, Tsiliki G, Pappis C (2016) Strengthening collaborative data analysis and decision making in web communities, Proceedings of the 23rd International Conference on World Wide Web (IW3C2), pp. 1005–1010.Google Scholar
  38. 38.
    Annamalai G, Hussain R, Cakkol M, Roy R, Evans S, Tiwari A (2011) An ontology for product-service systems, functional thinking for value creation. Functional Thinking for value creation, pp:231–236Google Scholar
  39. 39.
    Rese M, Meier H, Gesing J, Boßlau M (2012) An ontology of business models for industrial product-service systems. The Philosopher’s Stone for Sustainability, pp:191–196Google Scholar
  40. 40.
    Ōno T (1988) Toyota production system: beyond large-scale production. Productivity Press, Portland OregonGoogle Scholar
  41. 41.
    Mourtzis D, Papathanasiou P, Fotia S (2016) Lean rules identification and classification for manufacturing industry. Procedia CRP 50:198–203CrossRefGoogle Scholar
  42. 42.
    Tang D, Wei F, Qin B, Zhou M, Liu T (2014) Building large-scale twitter-specific sentiment lexicon: a representation learning approach. Proceedings of COLING 2014:172–182Google Scholar
  43. 43.
    Raymond Lau YK, Lai CCL, Ma J, Li Y (2009) Automatic domain ontology extraction for context-sensitive opinion mining. In: Thirtieth International Conference on Information Systems (ICIS), 2009 Proceedings. pp. 35–53.Google Scholar
  44. 44.
    Mourtzis D, Doukas M, Fragou K, Efthymiou K, Matzorou V (2014) Knowledge-based estimation of manufacturing lead time for complex engineered-to-order products, variety management in manufacturing. Proceedings of the 47th CIRP Conference on Manufacturing Systems Procedia CIRP 17: 499–504.Google Scholar
  45. 45.
    Mourtzis D, Doukas M, Vlachou K, Fragou K, Vandera C (2014) Knowledge enriched short-term scheduling for engineer-to-order products, Robust Manufacturing Conference (RoMaC 2014). Procedia CIRP 19:160–167CrossRefGoogle Scholar
  46. 46.
    Zhu QQ, Jiang PY, Huang GQ, Qu T (2011) Implementing an industrial product-service system for CNC machine tool. Int J Adv Manuf Technol 52:1133–1147CrossRefGoogle Scholar
  47. 47.
    Roy R, Erkoyuncu JA, Shaw A (2013) The future of maintenance for industrial product-service systems, proceedings of the 5th CIRP International Conference on IPSS, Product-Service Integration for Sustainable Solutions, pp 1–15.Google Scholar
  48. 48.
    Thelwall M, Buckley K, Paltoglou G, Cai D, Kappas A (2010) Sentiment strength detection in short informal text. J Am Soc Inf Sci Technol 61(12):2544–2558CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2017

Authors and Affiliations

  • Dimitris Mourtzis
    • 1
  • Sophia Fotia
    • 1
  • Ekaterini Vlachou
    • 1
  • Angelos Koutoupes
    • 2
  1. 1.Laboratory for Manufacturing Systems and Automation (LMS), Department of Mechanical Engineering and AeronauticsUniversity of PatrasPatrasGreece
  2. 2.N.BAZIGOS S.A., Design and Manufacturing of MouldsMandraGreece

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