Multi-object decision control of requirement structure for digital factory

CUI Jian， TAO Li-yan
（School of Management， Hangzhou Dianzi University， Hangzhou 310018， China）

Abstract： Aiming at realizing the optimal control on multi-object requirement structure in digital factory（DF），the model of multi-object decision control on requirement structure was put forward in every node，such as design，manufacture，assemble，logistics and so on. The form of math function was presented to depict the structure decision factor in every node，and the optimal process of multi-object decision was analyzed. The example of steam turbine was applied concretely to verify the model theory，entropy arithmetic based on Pareto was applied to the index coefficient of multi-object decision，the index weight coefficient of multi-objective was determined，the task implementation was weighed. The results indicate that model research validates the control theory of multi-object demand structure in digital factory，and the research on structure multi-object decision control for digital factory optimizes the structure resource of system implementation on the basis of meeting greatly customer requirement.
Key words： digital factory（DF）； demand structure； multi-object decision control； Pareto