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 248
... Variables . Another distinction between models is due to the capacity for performing different design decisions based on the use of different decision variables incorporated in the models . Three basic categories of decision variables ...
... Variables . Another distinction between models is due to the capacity for performing different design decisions based on the use of different decision variables incorporated in the models . Three basic categories of decision variables ...
Page 571
... variables , control parameters , and so on . Now one can use a well developed and powerful technique describing the system Input - Black Box ( “ Machine " ) – Output . In this scheme , input -variables are classified into three ...
... variables , control parameters , and so on . Now one can use a well developed and powerful technique describing the system Input - Black Box ( “ Machine " ) – Output . In this scheme , input -variables are classified into three ...
Page 576
... variable or , at least , a target subset of this variable . The values of the input variables that should produce a desirable output are normally not known and should be determined or estimated a priori . In other words , inverse ...
... variable or , at least , a target subset of this variable . The values of the input variables that should produce a desirable output are normally not known and should be determined or estimated a priori . In other words , inverse ...
Contents
Features in Design and Manufacturing | 39 |
Moving Objects in Intelligent Design | 73 |
Qualitative Reasoning Methods in Design | 103 |
Copyright | |
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activities algorithm alternative analysis application approach architecture assembly automated behavior capacity cell chart complete components considered constraints cost database decision defined described determine developed discussed elements Engineering equipment error evaluation example expert system FIGURE fixture flexible function geometric given goal graph implementation Industrial input inspection integrated Intelligent knowledge limits machine manufacturing Manufacturing Systems material mean Mechanical methods node objective operations optimal output parameters path performance possible presented problem procedure process planning reasoning referred representation represented Research robot rules scheduling selection sequence shown simulation solution solving space specific stage standard station step strategy structure surface Table task techniques tion tool transformation units University variables workpiece workstation