Application of statistical process control to competitor benchmarks
โ Scribed by Ted M. van Ryn
- Publisher
- John Wiley and Sons
- Year
- 2000
- Weight
- 132 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1058-0247
No coin nor oath required. For personal study only.
โฆ Synopsis
This article outlines the application of statistical process control in the competitive analysis context of corporate Total Quality Management/Statistical Process Control (TQM/SPC). Using attribute measurements of competitor product samples and the descriptive statistics of SPC process analysis, the competitive analyst may objectively assess competitor product and process capability. The author routinely uses similar analyses to assess competitive advantage as a TQM benchmark component. A simple hypothetical example is given to illustrate the development of relationships between requirements, specifications, measurement distributions, manufacturing process selections, actionable data, and marketing collateral. The general technique described may be used with far greater sophistication in real situations to create compelling intellectual assets for executive decision support.
๐ SIMILAR VOLUMES
In this paper, both the methods of continuous sliding mode control (CSMC) and continuous sliding mode control with compensators (CSMC&C) have been applied to two benchmark structures, namely, a building model equipped with an active mass driver system, and a building model equipped with an active te
In this paper, we investigate the performance of optimal polynomial control for the vibration suppression of a benchmark problem; namely, the active tendon system. The optimal polynomial controller is a summation of polynomials of different orders, i.e., linear, cubic, quintic, etc., and the gain ma
Process modeling is essential for the control of optimization and an on-line prediction is very useful for process monitoring and quality control. Up to now, no satisfactory methods have been found to model an industrial meltblown process since it is of highly dimensional and nonlinear complexity. I
A non-linear robust output feedback control is designed for a sixth-order model of an induction motor. The control uses only measurement of the rotor position and stator currents. It contains two observers, a second-order observer to estimate the rotor #ux from the stator current and a third-order h
A benchmark structural control problem has been proposed in an attempt to evaluate the effectiveness of various control algorithms. The problem encompasses the design of an Active Mass Damper (AMD) control system for a Multi-Degree-Of-Freedom (MDOF) building type structure subjected to earthquake-ty