"Optimizing Engineering Designs" concerns the experimental stages in the design or development of new products. Experiments often constitute the most time-consuming phase within the schedule of a product's development. Shortening this phase by means of exact planning and reliable results can lead to an enormous advantage over competition. This text demonstrates the setting up of cost effective and accurate experiments, whether on paper/computer, or using a prototype. Taguchi methods have been dominant, but a number of alternatives are now offered, and are gaining popularity. Time series analysis, Taguchi, Shanin and genetic algorithm are the four major techniques covered. There is also a major chapter introducing other methods and their benefits and drawbacks.
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 229 mm
Breite: 157 mm
Gewicht
ISBN-13
978-0-07-707780-8 (9780077077808)
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Schweitzer Klassifikation
Criteria for use of methods for design of experiments; applying design of experiment methods depending on certain situations; problem analysis, empiric parameter reduction; experiment design according to Shanin; variance analysis as an aid for solving problems; introduction into the design of experiment according to Taguchi; robust design; simultaneous optimization of product and manufacture process; parameter design according to Taguchi; time series analysis; Plackett-Burman or screening design; response surface methodology - RSM; genetic algorithms.