Abstract
The aim of this paper is to propose a process to support decision making, in which System Dynamics is combined with Multi Criteria Decision Aid methods to mitigate the limitations of the two methodologies when used alone and find robust policies. The proposed process is based on Exploratory Modeling and Analysis, a framework that allows the use of multiple methods – under different perceptions, detail, and levels of abstraction – in order to address issues of uncertainty and robustness. A case study is used to illustrate how the process can offer deeper insights and act as a valuable decision support system. Finally, it also demonstrates the potential of Exploratory Modeling and Analysis to deal with uncertainties and identify robust policies.
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References
Ouerdane, W., Maudet, N., Tsoukias, A.: Argumentation theory and decision aiding. In: Ehrgott, M., Figueira, J., Salvatore, G. (eds.) Trends in Multiple Criteria Decision Analysis, pp. 177–208. Springer, US (2010)
Forrester, J.W.: Industrial Dynamics. MIT Press, Cambridge (1961)
Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World. Irvin/McGraw-Hill, Boston (2000)
Sterman, J.D.: Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Manage. Sci. 35(3), 321–339 (1989)
Santos, V., Belton, V., Howick, S.: Adding value to performance measurement by using system dynamics and multicriteria analysis. Int. J. Oper. Prod. Manag. 22(11), 1246–1272 (2002)
Gardiner, P., Ford, A.: Which policy run is best, and who says so. TIMS Stud. Manag. Sci. 14, 241–257 (1980)
Belton, V., Stewart, T.: Multiple Criteria Decision Analysis: An Integrated Approach. Springer, Heidelberg (2002)
Guitouni, A., Martel, J.: Tentative guidelines to help choosing an appropriate MCDA method. Eur. J. Oper. Res. 109(2), 501–521 (1998)
Kunsch, P.L.: How System dynamics education may enhance virtue-based ethics. EURO J. Decision Processes 4(1–2), 33–52 (2016)
Yatsalo, B., Didenko, V., Gritsuyuk, S., Sullivan, T.: Decerns: a framework for multi-criteria decision analysis. Int. J. Comput. Intell. Syst. 8(3), 467–489 (2016)
Polatidis, H., Haralambopoulos, D., Vreeker, R.: Selecting an appropriate multi-criteria decision analysis technique for renewable energy planning. Energy Sources Part B 1(2), 181–193 (2006)
Bouyssou, D.: Modelling inaccurate determination, uncertainty, imprecision using multiple criteria. In: Lockett, A.G., Islei, G. (eds.) Improving Decision Making in Organizations, pp. 78–87. Springer, Heidelberg (1989)
Roy, B.: Main sources of inaccurate determination, uncertainty and imprecision in decision models. Math. Comput. Model. 12(10), 1245–1254 (1989)
Roy, B.: A missing link in operational research decision aiding: robustness analysis. Found. Comput. Decision Sci. 23, 141–160 (1998)
Pruyt, E.: Dealing with uncertainties? Combining system dynamics with multiple criteria decision analysis or with exploratory modeling. In: Proceedings of the 25th International Conference of the System Dynamics Society, Boston, USA (2007)
Pubule, J., Blumberga, A., Romagnoli, F., Blumberga, D.: Finding an optimal solution for biowaste management in the Baltic States. J. Clean. Prod. 88, 214–223 (2015)
Brans, J., Macharis, C., Kunsch, P., Chevalier, A.: Combining multicriteria decision aid and system dynamics for the control of socio-economic processes: an iterative real-time procedure. Eur. J. Oper. Res. 109(2), 428–441 (1998)
Reagan-Cirincione, P., Schuman, S., Richardson, G., Dorf, S.: Decision modeling: tools for strategic thinking. Interfaces 21(6), 52–65 (1991)
van der Paas, J., Walker, W., Marchau, V., van Wee, G., Agusdinata, D.: Exploratory mcda for handling deep uncertainties: the case of intelligent speed adaptation implementation. J. Multi-Criteria Decision Anal. 17(1–2), 1–23 (2010)
Bankes, S.: Exploratory modeling for policy analysis. Oper. Res. 41(3), 435–449 (1993)
Auping, W., Pruyt, E., de Jong, S., Kwakkel, J.: The geopolitical impact of the shale revolution: Exploring consequences on energy prices and rentier states. Energy Policy 98, 390–399 (2016)
Roy, B.: Paradigms and challenges. In: Greco, S., Figueira, J., Ehrgott, M. (eds.) Multiple Criteria Decision Analysis: State of the Art Surveys, 2 edn., pp. 19–39. Springer, New York (2016)
Munier, A.: A Strategy for Using Multicriteria Analysis in Decision-Making. Springer, Netherlands (2011)
Kim, S., Park, H., Lee, H., Jung, C.: MAUT approach for selecting a proper decommissioning scenario. In: Proceedings of the Waste Management Symposium 2007 Conference, Tucson, AZ (2007)
Tsaples, G., Pruyt, E., Kovari, A., Vasilopoulos, C.: A shock to the system: How can Land Value Taxation change the face of the cities? In: Proceedings of the 31st International Conference of the System Dynamics Society, Boston, MA (2013)
Forrester, J.W.: Urban Dynamics. MIT Press, Cambridge, MA (1969)
Hobbs, B., Chankong, V., Hamadeh, W., Stakhiv, E.: Does choice of multicriteria method matter? an experiment in water resources planning. Water Resour. Res. 28(7), 1767–1779 (1992)
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Tsaples, G., Papathanasiou, J., Ploskas, N. (2017). Integrating System Dynamics with Exploratory MCDA for Robust Decision-Making. In: Linden, I., Liu, S., Colot, C. (eds) Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems. ICDSST 2017. Lecture Notes in Business Information Processing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-57487-5_13
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