Although retailers deals with a large number of single-term inventory items, but few cases have been considered in the areas of practical decision making. However, recent moves to strengthen fair trade have created a real need for single-period inventory decision-making problems. This study addresses the problem of ordering quantity decisions that are expected to maximize profits using classical newsvendor models. The research target is data on seasonal and perishable products from retail. We also use data from retailers to actually apply the newsvendor model and calculate the results to compare performance. It also suggests solutions for estimating demand for products sold in order to apply newsvendor models that utilize actual demand ratio versus forecast demand. This study would like to examine the effectiveness of this research through data analysis and make some suggestions for applying it to reality.

1. 서 론
 2. 연구 설계 및 방법
 3. 분석 및 결과
  3.1 회귀분석을 이용한 품절된 상품의 수요량 추정
  3.2 정규분포 예측을 위한 평균과 표준편차 계산
  3.3 A/F비율의 정규성 검증
  3.4 뉴스벤더 모델을 이용한 주문량 산정
  3.5 주문량에 따른 성과치 비교
 4. 결 론
 References

• Geon-Ho Noh(Department of Management Consulting, Hanyang University) | 노건호
• Seung-June Hwang(Department of Management Consulting, Hanyang University) | 황승준 Corresponding Author