Soft Systems Methodology for Conceptual Modeling

Soft systems methodology (SSM) is the outcome of a real-world action research program that uses the idea of systems to improve poorly defined, so-called soft problem areas. Theory and practice of SSM arouse interest and encourage discussions from various backgrounds by academics and practitioners. In order to introduce SSM for use in the real world, this chapter begins with different definitions and methodologies of systems thinking. Then, SSM defines the seven technical analysis steps, including the soft systems thinking and the necessary techniques such as rich picture, CATWOE analysis, root definition, and conceptual modeling. SSM has organizational analysis and practical applications in the industry sector that are reviewed and classified.


2014 ◽  
Vol 22 (2) ◽  
pp. 265-285 ◽  
Author(s):  
Tábata Fernandes Pereira ◽  
José Arnaldo Barra Montevechi ◽  
Rafael de Carvalho Miranda ◽  
Jonathan Daniel Friend

2020 ◽  
Vol 10 (1) ◽  
pp. 86-99
Author(s):  
Lewis Tsuro ◽  
Stan Hardman

The Soft Systems Methodology (SSM) was developed as a set of tools for identifying and making incremental steps to improve situations with poorly defined causes or solutions. The supply chain forms a key process of any construction project; however, on any given construction site, supply chain inefficiencies could arise from many different avenues. Opinions vary, though, on which of these avenues is more important for increasing supply chain efficiencies; whether any problem even exist across the different aspects of the supply chain; as well as what steps should be taken to resolve them. It was therefore studied, here, whether SSM could be employed as a useful tool to systematically apply in the supply chains of a construction project in South Africa, for understanding and targeting the problematic situations that arise. Following thorough cyclical open-ended interviews with 17 workers, supervisors, foremen, site clerks, senior managers, and the CEO of the principal contractor at a new office park construction project in Rosebank, Johannesburg, and a thematic analysis of the data, SSM was performed to understand the existing challenges, and develop a suitable model for improvement. The study found that SSM was a good tool for understanding the ‘messy’ circumstances surrounding the chosen construction project supply chain, as well as actions that could be taken to improve the supply chain’s efficiency on site. The findings add weight to the argument that SSM could be a good tool for project managers to systematically introduce into their project planning regimens


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