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Samsung Uses Data-Driven Approach to Manage Work-in-Process of Bottlenecks in Semiconductor Manufacturing Operations

Author

Listed:
  • Gwangjae Yu

    (Samsung Electronics, Hwaseong-si, Gyeonggi-do 18448, Republic of Korea)

  • Jaehyeon Ryu

    (Samsung Electronics, Hwaseong-si, Gyeonggi-do 18448, Republic of Korea)

  • Sang-Seok Choi

    (Samsung Electronics, Hwaseong-si, Gyeonggi-do 18448, Republic of Korea)

Abstract

Semiconductor manufacturing is a repetitive and time-consuming process, with cycle times ranging from one to three months. To improve market responsiveness and reduce operational costs, minimizing work-in-process (WIP) throughout the manufacturing process is crucial, especially for the bottleneck process because it determines the efficiency of the entire production system. To achieve this goal, we utilize optimization and statistical techniques based on real-world data to determine the optimal level and threshold bounds for managing the WIP of the bottleneck process. Our results show a 35% reduction in the average WIP level of the bottleneck process without compromising its productivity, demonstrating the effectiveness of our approach in practical applications.

Suggested Citation

  • Gwangjae Yu & Jaehyeon Ryu & Sang-Seok Choi, 2024. "Samsung Uses Data-Driven Approach to Manage Work-in-Process of Bottlenecks in Semiconductor Manufacturing Operations," Interfaces, INFORMS, vol. 54(6), pages 487-499, November.
  • Handle: RePEc:inm:orinte:v:54:y:2024:i:6:p:487-499
    DOI: 10.1287/inte.2023.0051
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    References listed on IDEAS

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    1. Brian T. Denton & John Forrest & R. John Milne, 2006. "IBM Solves a Mixed-Integer Program to Optimize Its Semiconductor Supply Chain," Interfaces, INFORMS, vol. 36(5), pages 386-399, October.
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    Full references (including those not matched with items on IDEAS)

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