화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2004년 가을 (10/29 ~ 10/30, 호서대학교(아산캠퍼스))
권호 10권 2호, p.1221
발표분야 공정시스템
제목 Short-term demand forecasting for Polyvinyl Chloride process scheduling
초록 The scheduling of plant should be determined based on the product demands correctly forecasted by reasonable methods. However, because most existing forecasting packages need user’s knowledge about forecasting, it has been hard for plant engineers without forecasting knowledge to apply forecasted demands to scheduling. Therefore, a forecasting module has been developed for plant engineers without forecasting knowledge. In this study, for the development of the forecasting module, an automatic method using the ARIMA model that is framed from modified Box-Jenkins process is proposed. And a new method for safety inventory determination is proposed to reduce the penalty cost by forecasting errors. Finally, using the two proposed methods, the automatic module has been developed.Acknowledgement: This work was supported by the IMT2000(project number: 00015993)0 in 2003 and Center for Ultramicrochemical Process Systems sponsored by KOSEF
저자 강수길1, 강민구1, 이호경2, 박선원1
소속 1한국과학기술원, 2LG화학 CRD(연)
키워드 demand forecasting; scheduling; ARIMA; safety inventory; PVC
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