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논문명/저자명
A decision-making framework to select a maintenance technology : case of transmission line / Sarayut Suriyawong 인기도
발행사항
수원 : 아주대학교 대학원, 2018.2
청구기호
TM 670.42 -18-14
형태사항
iv, 47 p. ; 26 cm
자료실
전자자료
제어번호
KDMT1201815629
주기사항
학위논문(석사) -- 아주대학교 대학원, Industrial Engineering, 2018.2. 지도교수: Sungjoo Lee
원문

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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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