This research studies on the demand forecasting for service parts considering parts life cycle, that gets relatively less attentions in the field of forecasting. Our goal is to develop forecasting method robust across many situations, not necessarily optimal for a limited number of specific situations. For this purpose, we first extensively analyze the drawbacks of the existing forecasting methods, then we propose the new demand forecasting method by using these findings and reinforcement leaning technique. Using simulation experiments, we proved that the proposed forecasting method is better than the existing methods under various experimental environments.

Abstract
 1. 서 론
 2. 본론
  2.1 접근방법
  2.2 제안된 방법론
 3. 실험 및 결과분석
 4. 결론
 5. References

• 권익현(인제대학교 산업경영공학과) | Ick-Hyun Kwon Corresponding Author