RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • SCOPUSKCI등재

        석유화학공업의 수요예측 및 분석 - 다변수회귀분석 및 소비원단위를 중심으로 -

        김형욱,배도선 ( Hyeong Ug Kim,Do Sun Bai ) 한국화학공학회 1976 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.14 No.5

        A good business forecasting or demand forecasting can contribute greatly to a nation`s economic planning. For a desirable economic planning, it is necessary to be able to predict fufure business conditions. An accurate demand forecasting for many goods can help achieve the nation`s economic planning by eliminating material wastages and controlling unnecessary oversupplies of material which are caused by unbalance in the demand and supply relationships. In an attempt to satisfy these needs, the present paper purports to conduct a demand forecasting (1976-1981) for the overall products of domestic petro-chemical industry. Thus the following methods are used as the appropriate approach for this purpose. (1) First, as the goods which are needed for this study, 18 items of final products (ten items of synthetic resins, four of synthetic fibers and four of synthetic rubbers) and 32 items of intermediate products and raw materials are selected among the overall products of the industry. (2) A multiple regression analysis is conducted to forecast demand for the final products. (3) Manufacturing consumption coefficients and modifier coefficients are used to forecast demand for the intermediate products and raw materials.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼