Abstract
In order to control the quality costs of forgings efficiently and ensure the optimization of enterprise production value input and benefit output, using piston, output shaft and other typical forgings as application objects, choosing cold and warm forging process instead of the former single hot forging or cold forging process, reinforcing Statistical Process Control (SPC) of processing quality and appropriately distributing quality failure cost and quality assurance cost in order to efficiently match the total cost of quality, quality process capacity index and production program so that the stability of forging quality can be improved. Using Data Envelopment Analysis (DEA) to contrast and analysis the quality cost data of new process and old process, of which the result shows that the technical input and benefit output of new process accord with mass production requirements in the prior period of enterprise industrialization.
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