Open AccessBook
Quality Engineering Handbook
Eric R. Ziegel
- 27 Sep 1991
162
TL;DR: Management and leadership in quality engineering quality systems development, implementation and verification planning, controlling and assuring product and process quality reliability and risk mamanagement problem solving and qualityimprovement quantitative methods.
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Abstract: Management and leadership in quality engineering quality systems development, implementation and verification planning, controlling and assuring product and process quality reliability and risk mamanagement problem solving and qualityimprovement quantitative methods.
read more
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Citations
Reliability Improvement with Design of Experiments
TL;DR: A review of Improving Performance Through Statistical Thinking, by G. Britz, G., Emerling, D., Hare, L., Hoerl, R., Janis, S., and Shade, J. (2000).
106
Effect of CNTs dispersion on electrical, mechanical and strain sensing properties of CNT/epoxy nanocomposites
Hamed Tanabi,Merve Erdal +1 more
TL;DR: In this article, a series of experiments were designed to investigate the effect of dispersion process parameters and CNT concentration, as well as their interactions on electrical, mechanical and strain sensing properties of CNT/epoxy nanocomposites.
98
Application of 7 Quality Control (7 QC) Tools for Continuous Improvement of Manufacturing Processes
Varsha M. Magar,Vilas B. Shinde +1 more
- 01 Jan 2014
TL;DR: In this article, a review of systematic use of 7 QC tools is presented and the main aim is to provide an easy introduction of seven QC tools and to improve the quality level of manufacturing processes by applying it.
Production scheduling optimization in foundry using hybrid Particle Swarm Optimization algorithm
TL;DR: The proposed hybrid particle swarm optimization algorithm tries to bridge the gap between theory and practice by considering foundry environment, which will help planner to decide the sequence of production of jobs based against clients’ orders and to develop efficient scheduling procedures for minimizing total flow time with relatively low computational efforts.
54
References
•Book
Handbook of Statistical Methods for Engineers and Scientists
Harrison M. Wadsworth
- 01 Jan 1990
TL;DR: This text, written for practicing engineers and scientists with little or no knowledge of statistical methods as well as those in intermediate and advanced levels who need a ready reference and refresher, covers a broad spectrum of statistical Methods and concepts, and supplies specific information to particular engineering and scientific disciplines.