적은 소모량과 불분명한 소모패턴을 가진 수리부속의 수요예측Demand Forecast of Spare Parts for Low Consumption with Unclear Pattern
- Other Titles
- Demand Forecast of Spare Parts for Low Consumption with Unclear Pattern
- Authors
- 박민규; 백준걸
- Issue Date
- 2018
- Publisher
- 한국군사과학기술학회
- Keywords
- Spare Parts(수리부속); Majority Voting(다수결 투표); Hybrid Method(하이브리드 방법); Demand Forecast Accuracy(수요예측 정확도); Low Consumption with Unclear Pattern(적은 소모량과 불분명한 소모패턴)
- Citation
- 한국군사과학기술학회지, v.21, no.4, pp.529 - 540
- Indexed
- KCI
- Journal Title
- 한국군사과학기술학회지
- Volume
- 21
- Number
- 4
- Start Page
- 529
- End Page
- 540
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/80271
- DOI
- 10.9766/KIMST.2018.21.4.529
- ISSN
- 1598-9127
- Abstract
- As the equipment of the military has recently become more sophisticated and expensive, the cost of purchasing spare parts is also steadily increasing. Therefore, demand forecast accuracy is also becoming an issue for the effective execution of the spare parts budget. This study predicts the demand by using the data of spare parts consumption of the KF-16C fighter which is being operated in the Republic of Korea Air Force. In this paper, SARIMA(Seasonal Autoregressive Integrated Moving Average) is applied to seasonal data after dividing the spare parts consumptions into seasonal data and non-seasonal data. Proposing new methods, Majority Voting and Hybrid Method, to the non-seasonal data which consists of spare parts of low consumption with unclear pattern, We want to prove that the demand forecast accuracy of spare parts improves.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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