This study was carried out to explore the accuracy of near infrared spectroscopy (NIRS) for the prediction of chemical and fermentation parameters of whole crop winter rye silages. A representative population of 216 fresh winter rye silages was used as database for studying the possibilities of NIRS to predict chemical composition and fermentation parameters. Samples of silage were scanned at 1 nm intervals over the wavelength range 680~2,500 nm and the optical data recorded as log 1/Reflectance (log 1/R) and scanned in fresh condition. NIRS calibrations were developed by means of partial least-squares (PLS) regression. NIRS analysis of fresh winter rye silages provided accurate predictions of moisture, acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP) and pH as well as lactic acid content with correlation coefficients of cross-validation (R2cv) of 0.96, 0.86, 0.79, 0.85, 0.82 and 0.78 respectively and standard error of cross-validation (SECV) of 1.89, 2.02, 2.79, 1.14, 1.47 and 0.46 % DM respectively. Results of this experiment showed the possibility of NIRS method to predict the chemical parameters of winter rye silages as routine analysis method in feeding value evaluation and for farmer advice.

The company was focusing on production which was partial mission rather than acquiring the information of customer in intensive process industry. The company accepted loss which is from over-production, losing of opportunity. After changing to web environment, supply chain is more complicated and need of customer is more various. As a result the company hard works on controlling production rates, production quantities in production area and gathering exact information which is about available resource and available quantities. Cooperated demand planning have to get decreasing of inventory, improving of customer service in supply chain management. Specially demand planning that considers allocation of capacity is executed in Iron-Industry. Demand planning must be classified by customer, region and supply position level.

This Study will introduce the concept of CTP(Capable-to-Promise) Algorithm, CTP process, and the modeling of algorithm. This research is based on the environment of using Job-Shop method. CTP algorithm model use LPST(Latest Possible Start Time) and EPST(Earliest Possible Start Time) method especially. It is important part of executing CTP system. The CTP modeling and implementing develops to system which is able to implement in the various business environment through additional and continuous research.

본 연구에서는 확률밀도함수의 서식처 적합도 지수를 사용하여 도심하천구간과 자연하천구간에서 유량점증방법론(Instream flow Incremental Methodology, IFIM)을 토대로 피라미 서식처의 생태유량을 모의하였다. 이와 같은 방법을 적용하기 위하여 본 연구에서는 PHABSIM 모형을 사용하였다. 본 연구에서는 서식처 적합도 지수(Kang, 2010)를 기초로 확률밀도함수의 매개변수를 조정하여 확률밀도함수의 서식처 적합도 지수를 개발하여 생태유량을 분석하였다. 그 결과, 도심하천구간에서는 정규분포가 자연하천구간에서는 2변수 log-pearson 분포가 Kang (2010)의 생태유량에 가장 근접하는 경향을 보였다. 확률밀도함수에 의한 서식처 적합도 지수와 하천구간별로 생태유량을 모의하여 확률론적 방법을 적용한 생태유량 산정기법을 제안하였다.

본 논문은 군산항의 유사퇴적 현상을 정량적으로 파악하고 그에 합리적인 대책을 마련하는데 활용하기 위해, 잘 알려진 EFDC 3차원 유사이송모형을 기초로 군산항의 퇴적고를 효율적으로 계산하기 위한 EFDC KUNSAN_SEDTRAN MODEL (2012)의 적용성에 대해 고찰하였다. 본 모형은 금강하구수리현상변화조사 보고서(Gunsan Regional Maritime Affairs and Port Office, 2004)의 여러 현장 관측치를 가지고 검정 및 검증을 수행했다. 검정 및 문헌조사를 통해, 본 모형의 점착성토사 침강속도(WS, Settling velocity), 퇴적한계전단응력(TD, Critical deposition stress), 기준침식률(RSE, Reference surface erosion rate), 침식한계전단응력(TE, Critical erosion stress)은 각각 2.2E-04m/s, 0.20N/m2, 0.003g/s·m2, 0.40N/m2으로 확인되었다. 그리고 모형의 적용성을 검토하기 위해, 군산항의 13정점의 퇴적고(71일) 및 내항과 외항 정점의 부유사농도(15일)의 모형 계산치와 현장 관측치를 비교 검토했다. 그 결과 퇴적고 계산을 위한 모형의 적용성은 NSE계수가 0.86, 부유사농도 시간평균 상대오차(RE)가 23%로 평가되었다.