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Blockchain-Based Long-Term Capacity Planning for Semiconductor Supply Chain Manufacturers

Author

Listed:
  • Jian Yang

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Jichang Dong

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
    Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China)

  • Suixiang Gao

    (School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
    Zhongguancun Laboratory, Beijing 100194, China)

  • Guoqing Wang

    (School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

The long-term production capacity planning of semiconductor supply chain manufacturers has a series of characteristics, such as large capital investment, fast technology upgrading, long lead-time of manufacturing equipment, and unstable market environment, which leads to the uncertainty of demand. In addition, blockchain technology is widely used to build consortium chains for information sharing across upstream and downstream enterprises, thus having the potential ability to help finance semiconductor manufacturers. This paper combines two uncertainty-oriented methods (stochastic programming and robust optimization) to examine the conversion of capacity between different product types and construct a two-stage mathematical planning model maximizing the net profit of manufacturers. Through the introduction of blockchain technology and information sharing among enterprises, we improve the effectiveness of our model to realize the optimal allocation of long-term capacity planning. Finally, we reformulate the model into a tractable MINLP, construct numerical examples to verify the solvability, and carry out sensitivity analysis.

Suggested Citation

  • Jian Yang & Jichang Dong & Suixiang Gao & Guoqing Wang, 2023. "Blockchain-Based Long-Term Capacity Planning for Semiconductor Supply Chain Manufacturers," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4748-:d:1090264
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    References listed on IDEAS

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    1. Swaminathan, Jayashankar M., 2000. "Tool capacity planning for semiconductor fabrication facilities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 120(3), pages 545-558, February.
    2. Francisco Barahona & Stuart Bermon & Oktay Günlük & Sarah Hood, 2005. "Robust capacity planning in semiconductor manufacturing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 459-468, August.
    3. Sixiang Zhao & William Benjamin Haskell & Michel-Alexandre Cardin, 2018. "Decision rule-based method for flexible multi-facility capacity expansion problem," IISE Transactions, Taylor & Francis Journals, vol. 50(7), pages 553-569, July.
    4. Chen Peng & Feryal Erhun & Erik F. Hertzler & Karl G. Kempf, 2012. "Capacity Planning in the Semiconductor Industry: Dual-Mode Procurement with Options," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 170-185, April.
    5. Yuli Zhang & Zuo-Jun Max Shen & Shiji Song, 2016. "Distributionally Robust Optimization of Two-Stage Lot-Sizing Problems," Production and Operations Management, Production and Operations Management Society, vol. 25(12), pages 2116-2131, December.
    6. Yugang Yu & Ganquan Huang & Xiaolong Guo, 2021. "Financing strategy analysis for a multi-sided platform with blockchain technology," International Journal of Production Research, Taylor & Francis Journals, vol. 59(15), pages 4513-4532, August.
    7. Hao Yu & Xiaojuan Yang & Honglin Chen & Suhua Lou & Yong Lin, 2022. "Energy Storage Capacity Planning Method for Improving Offshore Wind Power Consumption," Sustainability, MDPI, vol. 14(21), pages 1-15, November.
    8. Suleyman Karabuk & S. David Wu, 2003. "Coordinating Strategic Capacity Planning in the Semiconductor Industry," Operations Research, INFORMS, vol. 51(6), pages 839-849, December.
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    Cited by:

    1. Zhang, Mengdi & Yang, Wanting & Zhao, Zhiheng & Wang, Shuaian & Huang, George Q., 2024. "Do fairness concerns matter for ESG decision-making? Strategic interactions in digital twin-enabled sustainable semiconductor supply chain," International Journal of Production Economics, Elsevier, vol. 276(C).
    2. Kumar, Devesh & Soni, Gunjan & Mangla, Sachin Kumar & Liao, Jiajia & Rathore, A.P.S. & Kazancoglu, Yigit, 2024. "Integrating resilience and reliability in semiconductor supply chains during disruptions," International Journal of Production Economics, Elsevier, vol. 276(C).

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