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Special Graduate Schools
Graduate School of Science and Technology
Department of Industrial Engineering
3. Theses(Master)
A decision-making framework to select a maintenance technology
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이성주 | - |
| dc.contributor.author | SURIYAWONG SARAYUT | - |
| dc.date.accessioned | 2018-11-08T08:11:37Z | - |
| dc.date.available | 2018-11-08T08:11:37Z | - |
| dc.date.issued | 2018-02 | - |
| dc.identifier.other | 27222 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/11477 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :산업공학과,2018. 2 | - |
| dc.description.tableofcontents | I.Introduction 1 1.1 Research background 1 1.2 Research purpose 2 1.3 Research organization 2 II.Background 3 2.1 Maintenance strategy 3 2.2 Technology selection strategy 7 2.3 Multi-criteria decision making methods (MCDM) and related methods 8 III.Proposed approach 14 3.1 Procedure structure 14 3.2 Detailed procedure 15 IV.Case study: Transmission line maintenance 20 4.1 Target industry: Transmission line maintenance 20 4.2 Target technology: Aerial patrol system (APS) 21 4.3 Application results 22 4.4 Validity test results 32 V.Conclusion 34 5.1 Summary 34 5.2 Contributions 35 5.3 Limitations and future research 36 Reference 37 Appendix 42 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | A decision-making framework to select a maintenance technology | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 산업공학과 | - |
| dc.date.awarded | 2018. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 800392 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000027222 | - |
| dc.subject.keyword | Technology selection | - |
| dc.subject.keyword | Maintenance technology | - |
| dc.subject.keyword | Transmission line | - |
| dc.description.alternativeAbstract | Maintenance technology is applied to the assessment of an object’s degradation and plays an important role in increasing corporate performance by enhancing maintenance effectiveness, improving operation costs, and providing better service to customers. However, decision makers may face difficulties due to the emergence and rapid advancement of various available technologies. Additionally, there are other factors and constraints that may affect their selection. However, few previous studies have addressed the issue of a selection strategy with regard to maintenance technologies. Therefore, the purpose of our study was to propose a decision-making framework to select a maintenance technology. The combination of interpretive structural modeling and analytic network process with the benefits, opportunities, costs, and risks model was applied to the prioritization of alternatives. The priorities were then calculated by zero-one goal programming to suggest the most appropriate maintenance technology. The proposed framework was implemented in the case of transmission line maintenance to test its usability and to receive expert feedback. The proposed framework can be implemented in any industry involving the performance of maintenance tasks. The results of employing the framework support decision-making, and can also guide the company in managing an investment or risk with regard to the adoption of new technology. | - |
| dc.title.subtitle | Case of transmission line | - |
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