Intelligent Design and ManufacturingAndrew Kusiak Focuses on design and manufacturing and a variety of issues pertinent to successful techniques involving concurrent engineering. Considers product design and manufacturing constraints simultaneously, emphasizing the consideration of every element of the product's life cycle from concept through disposal. Examines such areas as quality, cost, scheduling and user needs. Design and manufacturing problems are thoroughly discussed and solutions are given by using numerous modern applications and implements, including basic artificial intelligence tools. |
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Page 236
... output of production and thus it allows one to measure the economic feasibility of production ( 1 , 11 ) . In order to define input and output of a production system , those decision variables that have an effect on the input or output ...
... output of production and thus it allows one to measure the economic feasibility of production ( 1 , 11 ) . In order to define input and output of a production system , those decision variables that have an effect on the input or output ...
Page 537
... output corresponding to a recognized classification . The knowledge about the relation of input feature pattern to output classification pattern is embodied in the weights of the network , which are obtained through a prior training ...
... output corresponding to a recognized classification . The knowledge about the relation of input feature pattern to output classification pattern is embodied in the weights of the network , which are obtained through a prior training ...
Page 731
... output . The goal of a classification system , however , is to make a decision regarding its inputs ; it is therefore necessary to introduce a threshold decision at some point in the system . In our system , the output nodes use an output ...
... output . The goal of a classification system , however , is to make a decision regarding its inputs ; it is therefore necessary to introduce a threshold decision at some point in the system . In our system , the output nodes use an output ...
Contents
Technology Selection and Capacity Planning for Manufacturing | 10 |
Features in Design and Manufacturing | 39 |
Moving Objects in Intelligent Design | 73 |
Copyright | |
25 other sections not shown
Common terms and phrases
algorithm analysis application approach architecture Artificial Intelligence assembly automated beam search behavior breadth-first search CAD system cell chart clamping classified components computer-aided design configuration constraints contour contour line control charts cost database decision defined described Design and Manufacturing design process developed entities evaluation example expert system feature FIGURE fixture flowpath flowpath design function fuzzy geometric model goal graph heuristic implementation inference engine input integrated Intelligent Design interaction knowledge base Kusiak machine matrix MCAE Mechanical methods module neural network node objects operations optimal output parameters path performance problem procedure process planning product design representation represented robot rules scheduling selection sequence shown in Fig simulated annealing simulation solution solving space specific standard station strategy structure surface tabu task techniques tion tool toroidal graph transformation variables workpiece workstation