Abstract
Morphological analysis (MA) is one of the methods most widely used in identifying, formulating, and structuring complex problems with the aim of seeking optimal solutions. When extended with cross-consistency assessment (CCA), MA becomes an iterative method. The aim of this chapter is to propose a modelling approach for using extended MA and to complement it with sensitivity analysis (SA) for optimization and time reduction over the iteration process. First, the aim is to recognize the connection between systems engineering requirements and project management activities, while incorporating multiple design dimensions and categories. Second, the chapter extends the application of the creative design approach. The target is to recognize and analyze the conflicts between the design activities, and aims at creating alternative options and solutions to resolve conflicts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ajith, K. J., & Ganesh, L. S. (2009). Research on knowledge transfer in organizations: A morphology. Journal of Knowledge Management, 13(4), 161–174. https://doi.org/10.1108/13673270910971905.
Altshuller, G. (1984). Creativity as an exact science. Pocket mathematical library. Boca Raton: CRC Press.
Arciszewski, T. (2018). Morphological analysis in inventive engineering. Technological Forecasting and Social Change, 126, 92–101. https://doi.org/10.1016/j.techfore.2017.10.013.
Buzuku, S., & Kraslawski, A. (2015). Engineering geology and health and safety. Application of morphological analysis to policy formulation for wastewater treatment (pp. 102–108). Notes of the Mining Institute 214. http://pmi.spmi.ru/index.php/pmi/article/view/138/159.
Buzuku, S., Kraslawski, A., & Harmaa, K. (2015, November 4–6). Supplementing morphological analysis with a design structure matrix for policy formulation in a wastewater treatment plant. In Modeling and managing complex systems (pp. 9–18). Fort Worth. https://doi.org/10.3139/9783446447264.002.
Chechurin, L. (2016). TRIZ in science. Reviewing indexed publications. Procedia CIRP, 39, 156–165. https://doi.org/10.1016/j.procir.2016.01.182.
Chen, J. H.-C., & Lai, C.-F. (2010). The theory of morphological analysis applied to western apparel-a case study of renaissance era. International Journal of Computer Science and Network Security, 10(4), 176–184.
Duczynski, G. (2017). Morphological analysis as an aid to organisational design and transformation. Futures, 86, 36–43. https://doi.org/10.1016/j.futures.2016.08.001.
Duczynski, G. (2018). Investigating traffic congestion: Targeting technological and social interdependencies through general morphological analysis. Technological Forecasting and Social Change, 126(February 2017), 161–167. https://doi.org/10.1016/j.techfore.2017.05.019.
Eriksson, T., & Ritchey, T. (2002). Scenario development using computerised morphological analysis. Papers presented at the Cornwallis and Winchester international OR conference, England. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.469.9096&rep=rep1&type=pdf. Accessed 1 June 2017.
Feng, X., & Fuhai, L. (2012). Patent text mining and informetric-based patent technology morphological analysis: An empirical study. Technology Analysis and Strategic Management, 24(5), 467–479. https://doi.org/10.1080/09537325.2012.674669.
Ferretti, F., Saltelli, A., & Tarantola, S. (2016). Trends in sensitivity analysis practice in the last decade. Science of the Total Environment, 568, 666–670. https://doi.org/10.1016/j.scitotenv.2016.02.133.
Frow, P., Nenonen, S., Payne, A., & Storbacka, K. (2015). Managing co-creation design: A strategic approach to innovation. British Journal of Management, 26(3), 463–483. https://doi.org/10.1111/1467-8551.12087.
Geum, Y., Jeon, H., & Lee, H. (2016). Developing new smart services using integrated morphological analysis: Integration of the market-pull and technology-push approach. Service Business, 10(3), 531–555. https://doi.org/10.1007/s11628-015-0281-2.
Haydo, P. A. (2018). From morphological analysis to optimizing complex industrial operation scenarios. Technological Forecasting and Social Change, 126, 147–160. https://doi.org/10.1016/j.techfore.2017.06.009.
Im, K., & Cho, H. (2013). A systematic approach for developing a new business model using morphological analysis and integrated fuzzy approach. Expert Systems with Applications, 40(11), 4463–4477. https://doi.org/10.1016/j.eswa.2013.01.042.
Jeong, S., Jeong, Y., Lee, K., Lee, S., & Yoon, B. (2016). Technology-based new service idea generation for smart spaces: Application of 5G mobile communication technology. Sustainability, 8(11), 1211. https://doi.org/10.3390/su8111211.
Jimenez, H., & Mavris, D. (2010). An evolution of morphological analysis applications in systems engineering. In 48th AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition (pp. 1–10). https://doi.org/10.2514/6.2010-972.
Johansen, I. (2018). Scenario modelling with morphological analysis. Technological Forecasting and Social Change, 126(February 2017), 116–125. https://doi.org/10.1016/j.techfore.2017.05.016.
Kannengiesser, U., Williams, C., & Gero, J. (2013). What do the concept generation techniques of Triz, morphological analysis and brainstorming have in common. 19th international conference on engineering design, ICED 2013 7 DS75-07 (October 2015), 297–300.
Kuriakose, K. K., Raj, B., Murty, S. S. A. V., & Swaminathan, P. I. (2010). Knowledge management maturity models – A morphological analysis. Journal of Knowledge Management Practice, 11(3), 1–9.
Lopes Correia da Silva, L. (2011). Morphological analysis of electric vehicles introduction in urban traffic in Sao Paulo. Future Studies Research Journal, 3(1), 14–37.
Louise, L., Mapule, M., & le Roux, H. (2009). A model for peace support operations: An overview of the ICT and interoperability requirements. In Proceedings of the 4th international conference on information warfare and security (pp. 1–10).
Mysiak, J. (2010). Decision methods. 2010. http://www.netsymod.eu/mdss/mDSS_DECMETH.pdf
Ney, S. (2012). Resolving messy policy problems: Handling conflict in environmental, transport, health and ageing policy, The earthscan science in society series. Abingdon: Routledge.
Ölvander, J., Lundén, B., & Gavel, H. (2009). A computerized optimization framework for the morphological matrix applied to aircraft conceptual design. Computer-Aided Design, 41(3), 187–196. https://doi.org/10.1016/j.cad.2008.06.005.
Ostertagová, E., Kováč, J., Ostertag, O., & Malega, P. (2012). Application of morphological analysis in the design of production systems. Procedia Engineering, 48, 507–512. https://doi.org/10.1016/j.proeng.2012.09.546.
Pidd, M. (2009). Tools for thinking: Modelling in management science. Chichester: Wiley.
Plauché, M., de Waal, A., Grover, A. S., & Gumede, T. (2010). Morphological analysis: A method for selecting ICT applications in South African government service delivery. Information Technologies & International Development, 6(1), 1–20.
Ritchey, T. (2010). Wicked problems, social messes: Decision support modelling with morphological analysis. Stockholm: Ritchey Consulting.
Ritchey, T. (2011). Wicked problems – Social messes decision support modelling with morphological analysis, Risk, governance and society. Heidelberg: Springer. https://doi.org/10.1007/978-3-642-19653-9.
Ritchey, T. (2012). Outline for a morphology of modelling methods: Contribution to a general theory of modelling. Acta Morphologica Generalis AMG, 1(1), 1–20.
Ritchey, T. (2014). Four models about decision support modeling. Acta Morphologica Generalis AMG, 3(1), 1–15.
Ritchey, T. (2015). Principles of cross-consistency assessment in general morphological modelling. Acta Morphologica Generalis, 4(2), 1–20.
Ritchey, T. (2018). General morphological analysis as a basic scientific modelling method. Technological Forecasting and Social Change, 126(June 2017), 81–91. https://doi.org/10.1016/j.techfore.2017.05.027.
Ritchey, T., & de Waal, A. (2007). Combining morphological analysis and Bayesian networks for strategic decision support. ORiON, 23(2), 105–121. https://doi.org/10.5784/23-2-51.
Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169. https://doi.org/10.1007/BF01405730.
Seidenstricker, S., & Linder, C. (2014). A morphological analysis-based creativity approach to identify and develop ideas for BMI: A case study of a high-tech manufacturing company. International Journal of Entrepreneurship & Innovation Management, 18(5/6), 409–424. https://doi.org/10.1504/IJEIM.2014.064716.
Seidenstricker, S., Scheuerle, S., & Linder, C. (2014). Business model prototyping – Using the morphological analysis to develop new business models. Procedia – Social and Behavioral Sciences, 148, 102–109. https://doi.org/10.1016/j.sbspro.2014.07.023.
Sholeh, M., Ghasemi, A., & Shahbazi, M. (2018). A new systematic approach in new product development through an integration of general morphological analysis and IPA. Decision Science Letters, 7, 181–196. https://doi.org/10.5267/j.dsl.2017.5.004.
Storbacka, K., & Nenonen, S. (2012). Competitive arena mapping: Market innovation using morphological analysis in business markets. Journal of Business-to-Business Marketing, 19(3), 183–215. https://doi.org/10.1080/1051712X.2012.638464.
Takane, Y., Jung, S., Oshima-Takane, Y., Millsap, R. E., & Maydeu-Olivares, A. (2009). Multidimensional Scaling, 9(3), 219–242.
Teles, M. d. F., & de Sousa, J. F. (2017). A general morphological analysis to support strategic management decisions in public transport companies. Transportation Research Procedia, 22, 509–518. https://doi.org/10.1016/j.trpro.2017.03.069.
Teles, M. d. F., & de Sousa, J. F. (2018). Linking fields with GMA: Sustainability, companies, people and operational research. Technological Forecasting and Social Change, 126, 138–146. https://doi.org/10.1016/j.techfore.2017.05.012.
Voros, J. (2018). On a morphology of contact scenario space. Technological Forecasting and Social Change, 126, 126–137. https://doi.org/10.1016/j.techfore.2017.05.007.
Williams, P. B., & Bowden, F. D. J. (2013). Dynamic morphological exploration. In 22nd national conference of the Australian society for operations research, Adelaide, Australia, 1–6 December 2013 (pp. 232–238). www.asor.org.au/conferences/asor2013.
Yoon, B. (2008). On the development of a technology intelligence tool for identifying technology opportunity. Expert Systems with Applications, 35(1–2), 124–135. https://doi.org/10.1016/j.eswa.2007.06.022.
Yoon, B., & Park, Y. (2005). A systematic approach for identifying technology opportunities: Keyword-based morphology analysis. Technological Forecasting and Social Change, 72(2), 145–160. https://doi.org/10.1016/j.techfore.2004.08.011.
Yoon, B., Park, I., & Coh, B.-y. (2014). Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining. Technological Forecasting and Social Change, 86, 287–303. https://doi.org/10.1016/j.techfore.2013.10.013.
Zeiler, W. (2018). Morphology in conceptual building design. Technological Forecasting and Social Change, 126, 102–115. https://doi.org/10.1016/j.techfore.2017.06.012.
Zwicky, F. (1969). Discovery, invention, research through the morphological approach. New York: Macmillan.
Acknowledgements
This research was supported in part by The Research Foundation of Lappeenranta University of Technology [LUT Tukisäätiö grant number 122/16] and The Foundation for Economic Education, [Grant number 160039].
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 The Author(s)
About this chapter
Cite this chapter
Buzuku, S., Kraslawski, A. (2019). Optimized Morphological Analysis in Decision-Making. In: Chechurin, L., Collan, M. (eds) Advances in Systematic Creativity. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-78075-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-78075-7_14
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-319-78074-0
Online ISBN: 978-3-319-78075-7
eBook Packages: Business and ManagementBusiness and Management (R0)