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Agent-Based Model을 활용한 자동차 예비부품 장기수요예측 KCI 등재

Long-Term Demand Forecasting Using Agent-Based Model : Application on Automotive Spare Parts

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한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
초록

Spare part management is very important to products that have large number of parts and long lifecycle such as automobile and aircraft. Supply chain must support immediate procurement for repair. However, it is not easy to handle spare parts efficiently due to huge stock keeping units. Qualified forecasting is the basis for the supply chain to achieve the goal. In this paper, we propose an agent based modeling approach that can deal with various factors simultaneously without mathematical modeling. Simulation results show that the proposed method is reasonable to describe demand generation process, and consequently, to forecast demand of spare parts in long-term perspective.

목차
1. 서 론
 2. 기존 연구
 3. 예비부품 수요 모형
  3.1 예비부품 수요발생 메커니즘
  3.2 예비부품 고장률
 4. 시뮬레이션 모형
  4.1 행위자 상태도
  4.2 입력변수
 5. 예비부품 장기수요 생성
 6. 예비부품 장기수요예측
 7. 수요예측 검증
 8. 결 론
 Acknowledgement
 References
저자
  • 이상욱(㈜누리봄) | Sangwook Lee
  • 하정훈(홍익대학교 정보컴퓨터공학부) | Chunghun Ha Corresponding Author