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By quality of conformance, we mean the systematic reduction of variability and elimination of defects until every unit produced is identical and defect-free Some confusion exists in our society about quality improvement; some people still think that it means gold-plating a product or spending more money to develop a product or process This thinking is wrong Quality improvement means the systematic elimination of waste Examples of waste include scrap and rework in manufacturing, inspection and testing, errors on documents (such as engineering drawings, checks, purchase orders, and plans), customer complaint hotlines, warranty costs, and the time required to do things over again that could have been done right the rst time A successful quality-improvement effort can eliminate much of this waste and lead to lower costs, higher productivity, increased customer satisfaction, increased business reputation, higher market share, and ultimately higher pro ts for the company.

We now illustrate the process of ATaG programming and software synthesis through a case study. In this case study, the programmer is interested in synthesizing an application consisting of two behaviors-bject tracking and temperature gradient monitoring-for a particular network deployment. The purpose of this case study is

problem as a convolution lter: what should it do when the post-displacement location in the source image is out of bounds The lter provides the following options. DisplacementMapFilterMode.IGNORE uses the undisplaced source pixel instead. DisplacementMapFilterMode.WRAP uses the pixel that would be present if the source image tiled in nitely. DisplacementMapFilterMode.CLAMP uses the nearest in-bounds pixel. DisplacementMapFilterMode.COLOR uses a prede ned substitute color instead. The default is WRAP.

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Statistical methods play a vital role in quality improvement Some applications are outlined below: 1 In product design and development, statistical methods, including designed experiments, can be used to compare different materials, components, or ingredients, and to help determine both system and component tolerances This application can signi cantly lower development costs and reduce development time..

color The substitute color when mode is DisplacementMapFilterMode.COLOR. alpha The alpha value of the substitute color when mode is DisplacementMapFilterMode.COLOR.

Statistical methods can be used to determine the capability of a manufacturing process. Statistical process control can be used to systematically improve a process by reducing variability. Experimental design methods can be used to investigate improvements in the process. These improvements can lead to higher yields and lower manufacturing costs. Life testing provides reliability and other performance data about the product. This can lead to new and improved designs and products that have longer useful lives and lower operating and maintenance costs.

Some of these applications have been illustrated in earlier chapters of this book. It is essential that engineers, scientists, and managers have an in-depth understanding of these statistical tools in any industry or business that wants to be a high-quality, low-cost producer. In this chapter we provide an introduction to the basic methods of statistical quality control that, along with experimental design, form the basis of a successful qualityimprovement effort.

The parameters in the given order are also the parameters to DisplacementMapFilter s constructor, where they are optional. In Example 37-13, Perlin noise, covered in 36, is used to animate a ag apping in the wind.

16-2

EXAMPLE 37-13

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