A real options design for quality control charts

  • Authors:
  • Harriet Black Nembhard;Leyuan Shi;Mehmet Aktan

  • Affiliations:
  • University of Wisconsin-Madison, Madison, WI;University of Wisconsin-Madison, Madison, WI;University of Wisconsin-Madison, Madison, WI

  • Venue:
  • Proceedings of the 32nd conference on Winter simulation
  • Year:
  • 2000

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Abstract

We develop a financial model for a manufacturing process where quality can be affected by an assignable cause. We evaluate the options associated with applying a statistical process control chart using pentanomial lattice and Monte Carlo simulation methods. By connecting the aspects of market dynamics with the manufacturing operational aspects, we now have a way to help decision makers address the bottom-line profitability associated with the quality control decision.