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Research Article

Combining the analytical hierarchy process, fuzzy expert systems, and the exponential risk priority number for the holistic evaluation of innovation projects in manufacturing

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Article: 2378200 | Received 03 Feb 2024, Accepted 02 Jul 2024, Published online: 10 Jul 2024

Figures & data

Figure 1. Fuzzy system with sharp input and output values.

Figure 1. Fuzzy system with sharp input and output values.

Table 1. Inclusion criteria for the systematic literature review.

Figure 2. Overview of the systematic literature review approach and the results.

Figure 2. Overview of the systematic literature review approach and the results.

Table 2. Overview of the analysed approaches from the state of the research.

Figure 3. Scientific methodology for the development of the evaluation approach.

Figure 3. Scientific methodology for the development of the evaluation approach.

Figure 4. Overview of the processual concept of the evaluation approach.

Figure 4. Overview of the processual concept of the evaluation approach.

Figure 5. Structure of the criteria catalogue (Gärtner et al., Citation2023).

Figure 5. Structure of the criteria catalogue (Gärtner et al., Citation2023).

Figure 6. Exemplary application of the AHP in the potential evaluation module.

Figure 6. Exemplary application of the AHP in the potential evaluation module.

Table 3. Overview of the participating experts of the two-stage Delphi study.

Figure 7. Example of a rule definition for the FES.

Figure 7. Example of a rule definition for the FES.

Figure 8. Results of the two-staged Delphi study: interdependencies between manufacturing potential and strategic goals of manufacturing companies.

Figure 8. Results of the two-staged Delphi study: interdependencies between manufacturing potential and strategic goals of manufacturing companies.

Figure 9. a) Characteristics of the linear input-output relationship, b) Characteristics of the S-shaped input-output relationship.

Figure 9. a) Characteristics of the linear input-output relationship, b) Characteristics of the S-shaped input-output relationship.

Figure 10. Example of the AHP calculation steps in the effort evaluation module.

Figure 10. Example of the AHP calculation steps in the effort evaluation module.

Figure 11. Example of the AHP calculation steps in the risk evaluation module.

Figure 11. Example of the AHP calculation steps in the risk evaluation module.

Figure 12. Exemplary visualisation of the portfolio overview and the detailed evaluation results.

Figure 12. Exemplary visualisation of the portfolio overview and the detailed evaluation results.

Figure 13. Phases of the industrial case study.

Figure 13. Phases of the industrial case study.

Table 4. Criteria and weights used in the industrial case study.

Figure 14. Overview of the software application for the industrial case study.

Figure 14. Overview of the software application for the industrial case study.

Figure 15. Portfolio overview and detailed MIP evaluation results of the industrial case study.

Figure 15. Portfolio overview and detailed MIP evaluation results of the industrial case study.