Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Safety Stock Management Framework for Semiconductor Enterprises Under Demand and Lead Time Uncertainties

반도체부품 수요 및 납기 불확실성을 고려한 안전재고 설정 프레임워크

  • Ho-Sin Hwang (Department of Environmental Energy Engineering, Myongji University) ;
  • Su-Yeong Kim (Department of Environmental Energy Engineering, Myongji University) ;
  • Jin-Woo Oh (Department of Environmental Energy Engineering, Myongji University) ;
  • Se-Jin Jung (Department of Environmental Energy Engineering, Myongji University) ;
  • In-Beom Park (Department of Industrial and Management Engineering, Myongji University)
  • 황호신 (명지대학교 환경에너지공학과) ;
  • 김수영 (명지대학교 환경에너지공학과) ;
  • 오진우 (명지대학교 환경에너지공학과) ;
  • 정세진 (명지대학교 환경에너지공학과) ;
  • 박인범 (명지대학교 산업경영공학과)
  • Received : 2023.06.04
  • Accepted : 2023.06.21
  • Published : 2023.06.30
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Abstract

The semiconductor industry, which relies on global supply chains, has recently been facing longer lead time for material procurement due to supply chain uncertainties. Moreover, since increasing customer satisfaction and reducing inventory costs are in a trade-off relationship, it is challenging to determine the appropriate safety stock level under demand and lead time uncertainties. In this paper, we propose a framework for determining safety stock levels by utilizing the optimization method to determine the optimal safety stock level. Additionally, we employ a linear regression method to analyze customer satisfaction scores and inventory costs based on variations in lead time and demand. To verify the effectiveness of the proposed framework, we compared safety stock levels obtained by the regression equations with those of the conventional method. The numerical experiments demonstrated that the proposed method successfully reduces inventory costs while maintaining the same level of customer satisfaction when lead time increases.

Keywords

Acknowledgement

이 논문은 2023년도 부처협업형 반도체전공트랙 사업을 통해 한국산업기술진흥원(G02P18800005501)의 지원을 받아 수행된 연구입니다.

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