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The Optimal Decision Combination in Semiconductor Manufacturing

Author

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  • Sungwook Yoon

    (Business School, Kwangwoon University, 26 Kwangwoon-gil (447-1, Wolgye-dong), Nowon-Gu, Seoul 139-701, Korea)

  • Jihyun Kim

    (Business School, Kwangwoon University, 26 Kwangwoon-gil (447-1, Wolgye-dong), Nowon-Gu, Seoul 139-701, Korea)

  • Sukjae Jeong

    (Business School, Kwangwoon University, 26 Kwangwoon-gil (447-1, Wolgye-dong), Nowon-Gu, Seoul 139-701, Korea)

Abstract

Wafer fabrication is a capital-intensive and highly complex manufacturing process. In a wafer fabrication facility (fab), wafers are grouped as a lot to go through repeated sequences of operations to build circuitry. Lot scheduling is an important task for manufacturers in order to improve production efficiency and satisfy customers’ demands of on-time delivery. Cycle time and average work-in-process reduction while meeting customers’ requirements play an important role in improving the competitiveness and sustainability of a semiconductor manufacturer. In this research, we propose the optimal combination rules for lot scheduling problems in wafer fabs, focusing on three complex areas of decision making: lot release control, batch sizing, and dispatching lots to enhance competitiveness and sustainability of a semiconductor facility.

Suggested Citation

  • Sungwook Yoon & Jihyun Kim & Sukjae Jeong, 2017. "The Optimal Decision Combination in Semiconductor Manufacturing," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1788-:d:113949
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    References listed on IDEAS

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    1. Zinder E.Z., 2016. "Expanding enterprise engineering paradigm," Бизнес-информатика, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», issue 4 (38), pages 7-18.
    2. Pickardt, Christoph W. & Hildebrandt, Torsten & Branke, Jürgen & Heger, Jens & Scholz-Reiter, Bernd, 2013. "Evolutionary generation of dispatching rule sets for complex dynamic scheduling problems," International Journal of Production Economics, Elsevier, vol. 145(1), pages 67-77.
    3. Ari P. J. Vepsalainen & Thomas E. Morton, 1987. "Priority Rules for Job Shops with Weighted Tardiness Costs," Management Science, INFORMS, vol. 33(8), pages 1035-1047, August.
    4. Stevenson, Mark & Hendry, Linda C., 2006. "Aggregate load-oriented workload control: A review and a re-classification of a key approach," International Journal of Production Economics, Elsevier, vol. 104(2), pages 676-693, December.
    5. Richard S.J. Tol, 2016. "Distributional Implications of Geoengineering," Working Paper Series 08316, Department of Economics, University of Sussex Business School.
    6. Wenyou Jia & Zhibin Jiang & You Li, 2015. "Combined scheduling algorithm for re-entrant batch-processing machines in semiconductor wafer manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1866-1879, March.
    7. Zhenhua Huang & Xingang Fan & Liping Cai & Sheldon Q. Shi, 2016. "Tornado hazard for structural engineering," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1821-1842, September.
    8. Nunes, V.M.B. & Queirós, C.S. & Lourenço, M.J.V. & Santos, F.J.V. & Nieto de Castro, C.A., 2016. "Molten salts as engineering fluids – A review," Applied Energy, Elsevier, vol. 183(C), pages 603-611.
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    1. Jaeseok Huh & Inbeom Park & Seongmin Lim & Bohyung Paeng & Jonghun Park & Kwanho Kim, 2018. "Learning to Dispatch Operations with Intentional Delay for Re-Entrant Multiple-Chip Product Assembly Lines," Sustainability, MDPI, vol. 10(11), pages 1-21, November.

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