Checkland developed Soft
Systems Methodology (SSM) to address problem situations from a systems
perspective; however, SSM needs to be extended with other methods to find superior solutions that overcome the need for a
compromise or trade-off between conflicting or contradictory elements. This thesis extends Checkland’s SSM approach
to resolve problems with conflicting or contradictory elements. This work integrates the powerful benefits of TRIZ-based analysis into
SSM and provides a means for systemic resolution of business problems with conflicting sub-system elements. Furthermore,
this study acknowledges that soft problems
can have conflicting relationships among their
elements, compares the strengths and
weaknesses of SSM and TRIZ in problem structuring, and presents a collaborative
SSM-TRIZ approach for problem structuring. Finally, this thesis applies the joint methodology to examine the business
problem of customer needs assessment for a certain market segment of INCOSE’s
planned Professional Development initiative. Although SSM-TRIZ helps structure
problems with opposing requirements, it does
not always provide definitive, prescriptive solution implementations for
technical and business issues. Hence,
hard thinking approaches cannot be discarded
in practice after implementing SSM-TRIZ. Text mining was selected for providing
a final and definite solution to the problem situation of interest.
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8026784 |
| Date | 14 May 2019 |
| Creators | Ibukun Phillips (6622694) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/An_SSM-TRIZ_Methodology_for_Business_Problem_Structuring/8026784 |
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