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Design methodology decision tree

A decision tree for Design Methodology is illustrated in Fig. 3.2. Each step in the tree is explained briefly below. The steps have also their own subtrees, which are described separately. [Pg.20]

The next step we see in RTM is to introduce passive and active control which can account for part to part variability and reduce the scrap rate and make the process more reliable and attract manufacturers to consider lightweight composites as a serious alternative to stamped aluminum parts. There are control algorithms available which in unison with flow simulations (offline in which one anticipates the differences and creates a decision tree based on the disturbance that can be identified with sensors, and online simulations which try to correct the flow during injection) can be integrated in an automated environment which will make RTM competitive for high volume production. This methodology has been demonstrated in a laboratory environment and hopefully will be adopted by some industries to reap the benefits. Until then RTM will serve as prime candidate for low volume specific design components. [Pg.303]

Understand decision tree methodologies used to evaluate supply chain design decisions under uncertainty. [Pg.142]


See other pages where Design methodology decision tree is mentioned: [Pg.17]    [Pg.17]    [Pg.357]    [Pg.166]    [Pg.160]    [Pg.168]    [Pg.169]    [Pg.90]   
See also in sourсe #XX -- [ Pg.17 , Pg.18 ]




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