Recently, the mineral resource protection policies and regulations in production countries of natural resources including rare metals are becoming more stringent. Such environment makes which market has malfunction. In other word, those are not perfect or pure market. Therefore because each market of natural resources have special or unique characters, it is difficult to forecast their market prices. In this study, we constructed several models to estimate prices of natural resources using statistical tools like ARIMA and their business indices. And for examples, Indium and Coal were introduced.

1. 서 론
 2. 이론적 배경
  2.1 가격예측 기법
  2.2 가격예측의 방해요인
  2.3 가격예측의 현황 : 석탄의 경우
  2.4 선물시장
 3. 천연자원의 가격예측 모형과 운영절차 개발
  3.1 ARIMA 기법을 이용한 가격예측
  3.2 가격예측 모형 수립
  3.3 모형 재수립 또는 유지
 4. 예측모형 개발 및 운영절차 적용 사례
  4.1 천연자원의 단기 가격예측 모형 개발 :석탄가격예측 사례
  4.2 천연자원의 단기 가격예측 모형 개발 :인듐가격예측 사례
  4.3 운영절차에 따른 예측모형의 유지․보정
 5. 결 론
 Acknowledgement
 References

• 심성철(금오공과대학교 컨설팅대학원) | S C Shim
• 이세재(금오공과대학교 산업공학부) | S J Lee
• 오현승(한남대학교 공과대학 산업경영공학과) | H S Oh
• 김병극(금오공과대학교 산업공학부) | B K Kim
• 김옥재(금오공과대학교 산업공학부) | O J Kim
• 신동원(금오공과대학교 산업공학부) | D W Shin
• 신승남(금오공과대학교 컨설팅대학원) | S N Shin
• 조명호(금오공과대학교 산업공학부) | M H Cho
• 정연학(금오공과대학교 산업공학부) | Y H Jung
• 송인철(금오공과대학교 산업공학부) | I C Song
• 조진형(금오공과대학교 산업공학부) | J H Cho Corresponding Author