Taguchi methods: a hands-on approach
This clear, practical book explains exactly how you can design and perform experiments using Taguchi methods from square one to completion - offering detailed examples to illustrate how these methods can work for you in a variety of situations. The step-by-step approach of this ground-breaking book allows you to get started quickly, and to successfully complete the four basic phases of experimentation - planning, designing, conducting the experiment, and analyzing the results. If you are responsible for quality improvement, you'll want to turn to these pages for a working knowledge of the basic tools of Taguchi methodology, including defining quality characteristics, selecting variables, designing experimental strategy, removing experimental bias, accounting for missing and infeasible data, and uncovering multiple quality characteristics.
Whether your focus is on product design, process start-up, or production problem-solving, Taguchi Methods: A Hands-On Approach To Quality Engineering will help you accelerate the application of these techniques. Designed to help working engineers and quality practitioners measure and choose options, this book is an essential guide to the key terms and principles of Taguchi methods.
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FORMING THE EXPERIMENTATION TEAM
DETERMINING THE OBJECTIVES
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appropriate assigned Barrel heater Calculate Capacitor cause-and-effect diagram Chapter circuit board classified attribute CM CM CM CM E rH Column Control Factor combination confirmation run Control Factor Level conveyor speed cost data point decibels defined degrees of freedom design of experiments determine example experimental run experimentation team Factor Level Setting factor settings factors and interactions Figure identify interaction graph larger-the-better level average analysis means response noise factors nominal-the-best number of levels number of units obtain operator optimal orthogonal array outer array output parameter design Pareto analysis performed potential prediction equation problem proportional equation quality characteristic Quality Engineering randomization response graphs rH CM CM rH rH CM S/N response table samples Scan Scan Scan selected signal factor signal-to-noise ratio smaller-the-better solder paste specific standard linear graph step strong effects strong interaction Taguchi Taguchi methods techniques temperature three levels two-level factors variability variation