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A robust supply chain planning framework for revenue management in the semiconductor industry

Author

Listed:
  • Alexander Seitz

    (Infineon Technologies AG)

  • Hans Ehm

    (Infineon Technologies AG)

  • Renzo Akkerman

    (Technical University of Munich)

  • Sarah Osman

    (Infineon Technologies AG)

Abstract

High demand uncertainties, long production lead times, and short product life cycles cause high risks for supply chain planning in the semiconductor industry. These affect all industries producing goods containing semiconductors. We present a robust supply chain planning framework for revenue management that consists of stable and flexible solutions for demand steering and dynamic pricing, extending current industry practice in several aspects. We introduce the concept of availabilities and capabilities, as well as various planning processes and process enablers. Based on our framework, we also highlight directions for future research.

Suggested Citation

  • Alexander Seitz & Hans Ehm & Renzo Akkerman & Sarah Osman, 2016. "A robust supply chain planning framework for revenue management in the semiconductor industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 523-533, December.
  • Handle: RePEc:pal:jorapm:v:15:y:2016:i:6:d:10.1057_s41272-016-0068-7
    DOI: 10.1057/s41272-016-0068-7
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    References listed on IDEAS

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    1. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
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    4. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 2004. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 50(12_supple), pages 1875-1886, December.
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    8. Chien-Yu Chen & Zhen-Ying Zhao & Michael O. Ball, 2001. "Quantity and Due Date Quoting Available to Promise," Information Systems Frontiers, Springer, vol. 3(4), pages 477-488, December.
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    Cited by:

    1. Yoonkyo Cho, 2020. "The Effects of Knowledge Assets and Path Dependence in Innovations on Firm Value in the Korean Semiconductor Industry," Sustainability, MDPI, vol. 12(6), pages 1-13, March.
    2. Gönsch, Jochen, 2017. "A survey on risk-averse and robust revenue management," European Journal of Operational Research, Elsevier, vol. 263(2), pages 337-348.
    3. Marketa Kubickova, 2022. "Revenue management in manufacturing: systematic review of literature," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 147-152, April.

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