수요예측 데이터 분석에 기반한 안전재고 방법론의 현장 적용 및 효과

• 영문명: Application Case of Safety Stock Policybased on Demand Forecast Data Analysis
• 발행기관: 한국산업경영시스템학회
• 저자명: 박흥수(Hung-Su Park) 최우용(Woo-Yong Choi)
• 간행물 정보: 『산업경영시스템학회지』제43권 제3호, 61~67쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2020.09.30

영문 초록

The fourth industrial revolution encourages manufacturing industry to pursue a new paradigm shift to meet customers diverse demands by managing the production process efficiently. However, it is not easy to manage efficiently a variety of tasks of all the processes including materials management, production management, process control, sales management, and inventory management. Especially, to set up an efficient production schedule and maintain appropriate inventory is crucial for tailored response to customers needs. This paper deals with the optimized inventory policy in a steel company that produces granule products under supply contracts of three targeted on-time delivery rates. For efficient inventory management, products are classified into three groups A, B and C, and three differentiated production cycles and safety factors are assumed for the targeted on-time delivery rates of the groups. To derive the optimized inventory policy, we experimented eight cases of combined safety stock and data analysis methods in terms of key performance metrics such as mean inventory level and sold-out rate. Through simulation experiments based on real data we find that the proposed optimized inventory policy reduces inventory level by about 9%, and increases surplus production capacity rate, which is usually used for the production of products in Group C, from 43.4% to 46.3%, compared with the existing inventory policy.

목차

1. 서 론

2. 선행 연구

3. 데이터 기반의 재고정책

4. 시뮬레이션 결과

5. 결 론

References

키워드

Production Plan Inventory Policy Steel Company