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General Electric Uses Simulation and Risk Analysis for Silicon Carbide Production System Design

Author

Listed:
  • Bahar Biller

    (Analytics Center of Excellence, SAS Institute, Cary, North Carolina 27514)

  • Michael Hartig

    (Electrical Technologies and Systems, General Electric Global Research, Schenectady, New York 12309)

  • Ronald J. Olson

    (Electrical Technologies and Systems, General Electric Global Research, Schenectady, New York 12309)

  • Peter Sandvik

    (Electrical Technologies and Systems, General Electric Global Research, Schenectady, New York 12309)

  • Gerald Trant

    (Electrical Technologies and Systems, General Electric Global Research, Schenectady, New York 12309)

  • Yang Sui

    (Electrical Technologies and Systems, General Electric Global Research, Schenectady, New York 12309)

  • Andrew Minnick

    (Menlo Micro, Albany, New York 12203)

Abstract

This article describes a model we developed to manage risk and value for silicon carbide (SiC) manufacturing at General Electric (GE). Our goal is to improve GE’s understanding of SiC fabrication design at the New York Power Electronics Manufacturing Consortium (PEMC) facility. Using this model, we determine the production-capacity risk profile of the PEMC facility and identify an equipment portfolio that minimizes the expected production shortfall, while meeting the capital expenditure (CAPEX) budgetary constraints for each year of the planning horizon. We further present selected operational strategies to support the solution to the equipment-portfolio optimization problem. We expect the impact of the analytical findings on the SiC production system design to be an improvement of 67% in mean annual throughput and an increase of less than 1% in CAPEX.

Suggested Citation

  • Bahar Biller & Michael Hartig & Ronald J. Olson & Peter Sandvik & Gerald Trant & Yang Sui & Andrew Minnick, 2019. "General Electric Uses Simulation and Risk Analysis for Silicon Carbide Production System Design," Interfaces, INFORMS, vol. 49(2), pages 117-128, March.
    • Handle: RePEc:inm:orinte:v:49:y:2019:i:2:p:117-128
    DOI: 10.1287/inte.2018.0979
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    References listed on IDEAS

    as
    1. Stephen E. Chick, 2001. "Input Distribution Selection for Simulation Experiments: Accounting for Input Uncertainty," Operations Research, INFORMS, vol. 49(5), pages 744-758, October.
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