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A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment

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  • Lars Mönch
  • Reha Uzsoy
  • John W. Fowler

Abstract

Part I of this three-part series described semiconductor supply chains from the decision-making and functional perspectives, using this as a framework to review the industrial engineering (IE) and operations research (OR) literature on the problems arising in these supply chains. Part I then reviewed the literature on Strategic Network Design, Supply Chain Coordination, Sustainability and Semiconductor Supply Chain Simulation, while Part II reviewed Demand Planning, Inventory Management, and Capacity Planning. This paper concludes the series, discussing Master Planning, Production Planning, Demand Fulfilment, and Available to Promise (ATP) in semiconductor supply chains.

Suggested Citation

  • Lars Mönch & Reha Uzsoy & John W. Fowler, 2018. "A survey of semiconductor supply chain models part III: master planning, production planning, and demand fulfilment," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4565-4584, July.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:13:p:4565-4584
    DOI: 10.1080/00207543.2017.1401234
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    Cited by:

    1. Junliang Wang & Pengjie Gao & Zhe Li & Wei Bai, 2021. "Hierarchical Transfer Learning for Cycle Time Forecasting for Semiconductor Wafer Lot under Different Work in Process Levels," Mathematics, MDPI, vol. 9(17), pages 1-11, August.
    2. Jianxin Fang & Brenda Cheang & Andrew Lim, 2023. "Problems and Solution Methods of Machine Scheduling in Semiconductor Manufacturing Operations: A Survey," Sustainability, MDPI, vol. 15(17), pages 1-44, August.
    3. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    4. Wolfgang Albrecht & Martin Steinrücke, 2020. "Continuous-time scheduling of production, distribution and sales in photovoltaic supply chains with declining prices," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 629-667, September.
    5. Masaki Okada & Kunio Shirahada, 2022. "Organizational Learning for Sustainable Semiconductor Supply Chain Operation: A Case Study of a Japanese Company in Cross Border M&A," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    6. Christ, Quentin & Dauzère-Pérès, Stéphane & Lepelletier, Guillaume, 2019. "An Iterated Min–Max procedure for practical workload balancing on non-identical parallel machines in manufacturing systems," European Journal of Operational Research, Elsevier, vol. 279(2), pages 419-428.
    7. Seitz, Alexander & Grunow, Martin & Akkerman, Renzo, 2020. "Data driven supply allocation to individual customers considering forecast bias," International Journal of Production Economics, Elsevier, vol. 227(C).
    8. Smirnov, Dina & van Jaarsveld, Willem & Atan, Zümbül & de Kok, Ton, 2021. "Long-term resource planning in the high-tech industry: Capacity or inventory?," European Journal of Operational Research, Elsevier, vol. 293(3), pages 926-940.
    9. Vasvári, Tamás & Hauck, Zsuzsanna & Longauer, Dóra, 2024. "Kiszervezési stratégiák és tanulási hatás a félvezetőiparban [Outsourcing strategies and the learning effect in the semiconductor industry]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 176-200.

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