Ordered fuzzy WASPAS method for selection of improvement projects

This paper proposes a new approach to selecting improvement projects (IPs). It allows the evaluation and prioritization of projects taking into account a proposed set of criteria as a key criteria for processes continuous improvement. The novelty of the research is the proposition of a OFN-WASPAS method (the WASPAS method, which uses the Ordered Fuzzy Numbers (OFNs)), in the selection of improvement projects. The advantage of the proposed method is its ability to provide project assessments in the form of fuzzy numbers or qualitative assessments together with the description of likely direction of assessment change in the nearest future. This is possible due to the use of orientation in OFNs. The approach verification is presented on the basis of the case study considered five projects constituting the portfolio of IPs selected, using the 19 most important subcriteria proposed within the 9 main criteria. The group AHP method is used to calculate the criteria weights. The conducted research demonstrated that the proposed approach to IPs selection is, to a large extent, applicable in an enterprise that operates per the CI concept. The resulting process improvement requires the implementation of many improvement projects. This approach handles the key aspects of decision making in a consistent and rational way and can be especially useful for portfolio analysis with projects using the latest technologies and implemented in frequently changing environmental conditions.