The Optimal Design of Blocked and Split-Plot Experiments

By: Peter Goos

Write A Review

eText | 6 December 2012

At a Glance

Format
PDF

eText

$159.01

or 4 interest-free payments of $39.75 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Quality has become an important source of competitive advantage for the modern company. Therefore, quality control has become one of its key ac tivities. Since the control of existing products and processes only allows moderate quality improvements, the optimal design of new products and processes has become extremely important. This is because the flexibility, which characterizes the design stage, allows the quality to be built in prod ucts and processes. In this way, substantial quality improvements can be achieved. An indispensable technique in the design stage of a product or a process is the statistically designed experiment for investigating the effect of sev eral factors on a quality characteristic. A number of standard experimental designs like, for instance, the factorial designs and the central compos ite designs have been proposed. Although these designs possess excellent properties, they can seldom be used in practice. One reason is that using standard designs requires a large number of observations and can therefore be expensive or time-consuming. Moreover, standard experimental designs cannot be used when both quantitative and qualitative factors are to be in vestigated or when the factor levels are subject to one or more constraints.