지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.18 No.3
- 발행연도
- 2019.9
- 수록면
- 305 - 314 (10page)
- DOI
- 10.7232/iems.2019.18.3.305
이용수
초록· 키워드
오류제보하기
Predictive maintenance is currently taking on new relevance. However, recent developments in predictive maintenance focus on selecting the most appropriate algorithm based on the characteristics of a system and data given the critical components. Identifying the critical component has not been difficult because most predictive maintenance has been applied to well-known critical components. However, as the cost of installation for predictive maintenance lowers, it may be desirable to apply predictive maintenance to machines where critical components have not yet been identified, especially machines in small- and medium-sized enterprises (SMEs). In this paper, an identification method for critical components for which predictive maintenance is appropriate is proposed using multi-criteria decision making for application to multi-component, complex machines. This paper proposes a decision-making process considering three different criteria: severity, occurrence, and detectability. The goal is to identify and prioritize critical components for predictive maintenance. The technique for order performance by similarity to the ideal solution (TOPSIS) can take into account decision makers’ preferences. Sensitivity analysis is investigated and discussed. The proposed decision-making approach allows a manufacturer to develop a customized introduction process for predictive maintenance.
목차
ABSTRACT
1. INTRODUCTION
2. METHODOLOGY BACKGROUND
3. PROPOSED APPROACH
4. CONCLUSIONS AND FUTURE WORK
RERERENCES
참고문헌 (34)
참고문헌 신청
Ahmad, R. / 2012 / An overview of time-based and condition-based maintenance in industrial application / Computers and Industrial Engineering 63(1):135~149
Almoghathawi, Y. / 2017 / A multi-criterial decision analysis approach for importance identification and ranking of network components / Reliablility Engineering and System Safety 158:142~151
Andersen, T. M. / 1999 / Decision support in a condition based environment / Journal of Quality in Maintenance Engineering 5(2):89~102
Aydogan, E. K. / 2011 / Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment / Expert Systems with Applications 38(4):3992~3998
Azadivar, F. / 1999 / Maintenance policy selection for JIT production systems / International Journal of Production Research 37(16):3725~3738
Almoghathawi, Y. / 2017 / A multi-criterial decision analysis approach for importance identification and ranking of network components / Reliablility Engineering and System Safety 158:142~151
Andersen, T. M. / 1999 / Decision support in a condition based environment / Journal of Quality in Maintenance Engineering 5(2):89~102
Aydogan, E. K. / 2011 / Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment / Expert Systems with Applications 38(4):3992~3998
Azadivar, F. / 1999 / Maintenance policy selection for JIT production systems / International Journal of Production Research 37(16):3725~3738
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