Agent-Based Model을 활용한 자동차 예비부품 장기수요예측

• 영문명: Long-Term Demand Forecasting Using Agent-Based Model: Application on Automotive Spare Parts
• 발행기관: 한국산업경영시스템학회
• 저자명: 이상욱(Sang wook Lee) 하정훈(Chung hun Ha)
• 간행물 정보: 『산업경영시스템학회지』제38권 제1호, 110~117쪽, 전체 7쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.03.31

영문 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

Abstract

1. 서론

2. 기존 연구

3. 예비부품 수요 모형

4. 시뮬레이션 모형

5. 예비부품 장기수요 생성

6. 예비부품 장기수요예측

7. 수요예측 검증

8. 결론

References

키워드

Agent Based Modeling Long-Term Forecasting Spare Part Management Failure Rate