A General Class of Loss Functions with Industrial Applications

Fred A. Spiring

98 citations0/0 files storedJournal of Quality Technology

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Advanced Statistical Process Monitoring Management and Optimization Techniques Fault Detection and Control Systems

Abstract

Over the last few years, loss functions have become increasingly important in quality assurance settings. In this paper, we develop a class of loss functions based on inversions of probability density functions and present industrial examples to illustrate process monitoring and control using economic loss instead of measurements.

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1986Introduction to Quality Engineering: Designing Quality into Products and Processes 1990Quality Engineering in Production Systems 1989Introduction to Quality Engineering: Designing Quality Into Products and Processes 1993The reflected normal loss function

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