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Title Page
Abstract
Contents
I. Introduction 8
1.1. Research background 8
1.2. Research purpose 9
1.3. Research organization 9
II. Background 10
2.1. Maintenance strategy 10
2.1.1. Definition and importance of maintenance 10
2.1.2. Maintenance management 12
2.1.3. Maintenance technology 13
2.1.4. Maintenance strategy selection 13
2.2. Technology selection strategy 14
2.2.1. Technology selection model 14
2.2.2. New technology adoption 14
2.3. Multi-criteria decision making methods (MCDM) and related methods 15
2.3.1. Analytic network process with benefits, opportunities, costs, and risks (BOCR) model 15
2.3.2. Zero-one Goal Programming (ZOGP) 19
2.3.3. Interpretive structural modeling (ISM) 20
III. Proposed approach 21
3.1. Procedure structure 21
3.2. Detailed procedure 22
3.2.1. Define the decision criteria and alternatives under the BOCR model 22
3.2.2. Determining the interrelationship among decision criteria by ISM 25
3.2.3. Calculating weight of alternatives by ANP with BOCR model 25
3.2.4. Determining the most appropriate maintenance technology under ZOGP constraints 26
IV. Case study: transmission line maintenance 27
4.1. Target industry: transmission line maintenance 27
4.2. Target technology: aerial patrol system (APS) 28
4.3. Application results 29
4.3.1. Decision criteria and alternatives under BOCR model 29
4.3.2. Interrelationship among decision criteria 29
4.3.3. Weights of alternatives 31
4.3.4. Optimal maintenance technology under constraints 36
4.4. Validity test results 39
4.4.1. System usability scaling 39
4.4.2. Expert feedback 40
V. Conclusion 41
5.1. Summary 41
5.2. Contribution 42
5.3. Limitations and future research 43
Reference 44
Appendix 49
Table 1. Nine-point Saaty scale 17
Table 2. BOCR model decision criteria for maintenance technology selection 23
Table 3. Pairwise comparison with regard to technology capability (B1) 32
Table 4. Pairwise comparison with regard to low maintenance cost (B2) 32
Table 5. Pairwise comparison with respect to low production loss (B3) 32
Table 6. Pairwise comparison with regard to improved reliability (B4) 32
Table 7. Pairwise comparison with regard to improved safety (B5) 33
Table 8. Pairwise comparison with regard to Flir Corona350 (T1) 33
Table 9. Pairwise comparison with regard to DayCor Rom 400 (T2) 33
Table 10. Pairwise comparison with regard to B1 34
Table 11. Pairwise comparison with regard to B2 34
Table 12. Pairwise comparison with regard to B3 34
Table 13. Pairwise comparison with regard to B4 34
Table 14. Pairwise comparison with regard to B5 34
Table 15. Weighted super matrix of benefits model 34
Table 16. Weighted super matrix of benefits model 35
Table 17. Limit super matrix of benefits model 35
Table 18. Final ranking of APS alternatives 35
Table 19. Required specification of APS and other limitations 36
Table 20. ZOGP formulation for APS technology selection 37
Table 21. Results of ZOGP calculation 38
Table 22. Implication of calculated deviations 38
Table 23. Calculated SUS score 39
Figure 1. Maintenance from a business perspective 10
Figure 2. Input-output model 11
Figure 3. Decision problems in maintenance 11
Figure 4. Evolution of maintenance technologies 13
Figure 5. Summary of BOCR model 15
Figure 6. ANP structure 16
Figure 7. Standard supermatrix form 18
Figure 8. General form of relation matrix 20
Figure 9. Proposed approach 21
Figure 10. Proposed framework for selecting maintenance technology 22
Figure 11. APS application 28
Figure 12. APS output 28
Figure 13. APS technology selection model 29
Figure 14. Interrelationship among criteria in Benefits (B) 31
Figure 15. Interrelationship among criteria in Opportunities, Costs, and Risks 31
Figure 16. Overall SUS score 40
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