An Empirical Analysis on Optimal Oder Quantity of Perishable and Seasonal Products : A Practical Application of Newsvendor Model in Retail

• 발행기관: 한국산업경영시스템학회
• 저자명: 노건호(Geon-Ho Noh) 황승준(Seung-June Hwang)
• 간행물 정보: 『산업경영시스템학회지』제42권 제1호, 41~54쪽, 전체 14쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2019.03.28

영문 초록

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.

목차

1. 서 론

2. 연구 설계 및 방법

3. 분석 및 결과

4. 결 론

키워드

Newsvendor model Regression Performance measure Retail Order Quantity(Q)