By George Chryssolouris (auth.)
Manufacturing platforms: conception and perform, moment Edition, presents an summary of producing platforms from the floor up. it's meant for college kids on the undergraduate or graduate point who're attracted to production, practising engineers who wish an summary of the problems and instruments used to handle difficulties in production structures, and executives with a technical history who are looking to develop into extra acquainted with production matters. The booklet has six chapters which have been prepared in accordance with the series used whilst developing and working a producing process. therefore, the topics emphasized are: the choice framework for production, the producing approaches, the producing gear and laptop instruments, the layout for production and the operation of producing platforms. The booklet makes an attempt a compromise among conception and perform in all addressed production structures concerns, protecting a protracted spectrum of concerns from conventional production procedures to leading edge applied sciences resembling digital truth, Nanotechnology and fast Prototyping.
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Extra resources for Manufacturing Systems: Theory and Practice
By considering flexibility as an attribute, intrinsic to a manufacturing system, the need for forecasts or estimates of external demands is obviated. This may make a measure of flexibility easier to apply. On the other hand, any flexibility calculation 26 1. Introduction which omits external demand runs the risk of omitting relevance as well. The number deriving at the end may be meaningless, unless some idea as to how much flexibility is actually needed is known. Here, measures, which consider external demand, have the advantage; estimation beats omission.
R/ and A/ be the individual machine failure rates, reliabilities and availabilities respectively in a transfer line with n machines, then we know: R = Rl X R2 X .. *. K — K\ '^ K2 ~^ ' ' ' ~^ /^n 20 1. Introduction 100 m\\\ 90 80 S (0 I N c c '" I I 1 Pi IK N 60 50 1 1 1 1 1 1 40 KM 111 1 K1 1 1 1 1 1 1\ l^ 1 30 No. 1 i K lI N^^\ nsTS-J r r-L n sr- jrLJ 1 1 1 NL Kl Machines 20 * 1 1 1 1 1 1 1 1 l^i-^L 1 1 1 1 1 1 1 1 1 ' M Y" j r ^ f ? -|-*»| r >1 1 1 r vM r1Sru 1 X 1 1 1 1 1 1 1 1 1 1 1 M r-, j-L -F 1 I I \ 1 T-L '^ r4 1 VJ > 1 M\\ 11 1 1 1 1 1 1 1 1 I I PH 1 Pi K 1 iH Kl II M SJ 70 a: LI 1 ithl'FF1 1 1 1 1 1 1 1 1 1 1 B 1 K1 r4 K H r>J \M iN.
It is not possible to simultaneously optimize cost, time, flexibility and quality. The overall outcome of a manufacturing decision is rather governed by trade-offs between the different manufacturing attributes. Assessment of these trade-offs requires a means of quantitatively evaluating each attribute. The more precisely defined these are, the easier it is to trade them off and make decisions. In industry to date, most quantitative measures in manufacturing refer to costand time-related attributes.
Manufacturing Systems: Theory and Practice by George Chryssolouris (auth.)