원문정보
초록
영어
Design of complex mechanical equipment and scheme of manufacturing need a comprehensive consideration of constraints, and it embodies multiple layers, complexity, multiple types and uncertainty. This paper analyzes the question of scheme optimization for complex mechanical equipment and proposes a method of manufacturing scheme optimization for complex mechanical equipment based on multi -attribute fuzzy information measurement model. This method functions to build an indicator system of optimization scheme for manufacturing complex mechanical equipment. Three models are designed to evaluate all optimization indicators the system, namely model for computation of fuzzy interval indicator’s information quantity, model for computation of qualitative indicator information quantity and model for computation of fuzzy indicator’s information quantity with degree of membership. Weights are given to information quantity optimization indicators in different layers get total complex mechanical equipment scheme choose optimal strategy based on design manufacture.
목차
1. Introduction
2. Information Axiom
3. Measurement Model and Algorithm of Information Quantity of Manufaturing Machine Tool Scheme
3.1 Optimal Indicator System of Complex Mechanical Equipment Scheme
3.2 Computation Model for Information Quantity of Optimal Indicators with Fuzzy Interval
3.3 Computation Model for Information Quantity of Qualitative Optimal Indicator
3.4 Computation Model for Information Quantity of Fuzzy Optimal Indicator Based on Membership Degree
3.5 Measurement Model of Multi-attribute Fuzzy Information and Algorithm Implementation of Complex Mechanical Equipment Scheme
4. An Example
5. Conclusion
References