A Multimethodology for Supporting the Boundary Selection of System Dynamics Models

Leandro Duarte dos Santos, Sandro Luis Schlindwein, Erwin Hugo Ressel Filho, Caroline Rodrigues Vaz, Mauricio Uriona Maldonado, Alfredo Celso Fantini, Mischel Carmen Neyra Belderrain

Source Title: International Journal of System Dynamics Applications (IJSDA)10(4)

ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781799858997|DOI: 10.4018/IJSDA.20211001.oa12

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MLA

Duarte dos Santos, Leandro, et al. "A Multimethodology for Supporting the Boundary Selection of System Dynamics Models." IJSDA vol.10, no.4 2021: pp.1-18. http://doi.org/10.4018/IJSDA.20211001.oa12

APA

Duarte dos Santos, L., Schlindwein, S. L., Filho, E. H., Vaz, C. R., Maldonado, M. U., Fantini, A. C., & Belderrain, M. C. (2021). A Multimethodology for Supporting the Boundary Selection of System Dynamics Models. International Journal of System Dynamics Applications (IJSDA), 10(4), 1-18. http://doi.org/10.4018/IJSDA.20211001.oa12

Chicago

Duarte dos Santos, Leandro, et al. "A Multimethodology for Supporting the Boundary Selection of System Dynamics Models," International Journal of System Dynamics Applications (IJSDA) 10, no.4: 1-18. http://doi.org/10.4018/IJSDA.20211001.oa12

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Abstract

System dynamics models can produce knowledge for decision-makers and, consequently, provide better choices. To be effective in its purpose, a model must reproduce an observed problem situation effectively. Hence, the compatibility between the observed problem situation and the created model is essential and represents a considerable challenge. In this context, this paper aims to describe an adaptation of the problem structuring method ‘Strategic Options Development and Analysis’ (SODA), used in the Problem Articulation (Boundary Selection) step of the system dynamics modelling process. In summary, this adaptation consists of: (1) Selecting of stakeholders; (2) Capturing, aggregating and interpreting the insights using cognitive and causal maps, and (3) Using the interpretation of the causal maps for building a system dynamics model. The method proved to be satisfactory since it was able to direct the construction of a System Dynamics model based on a problem situation perceived by stakeholders acting in the native forests of the state of Santa Catarina, Brazil.