Tolerance Design and Adjustment of Complex Customized Product Based on Cloud Manufacturing ¬リニ

A local and temporal separated manufacturing becomes possible, which can enhance the economic efficiency of the production. Complex products such as spacecraft, large CNC Machine, large compressor face challenges in their development process. The cloud manufacturing which is based on the development of cloud computing and Internet of Things system makes the collaborative manufacturing process of complex customized product become rapid intelligent efficient and of low-energy consumption. Cloud Manufacturing is a new manufacturing pattern which organizes the manufacturing resource to provide customers with all kinds of manufacturing services as needed. Customers who have taken part in this kind of manufacturing process could integrate the resource anytime anywhere according to the product requirement. Different from the traditional manufacturing pattern, Cloud manufacturing is multi-selective dynamic and the process may be across the stage. With more resources in the manufacturing process involved, cost of the manufacturing may be increased, so the cloud manufacturing is more suitable for small batch manufacture process of large and complex manufacturing process of customized products. In this article, we put forward a dynamic tolerance design and management framework of complex customized product based on cloud manufacturing. When the product comes into the manufacturing process, the dimension might be overflown of the acceptable zone which had been designed in the engineering phase, therefore we introduce a dynamic control that at every stage of the manufacturing we re-organize the resource based on the real-time information of the manufacturing cloud (in other word, ability of the manufacturing service) and the performance of former service. To ensure the function of the product expressed integrality and assembly process carried out smoothly, we could obtain the target optimal solution of dynamic allocation process of the tolerance on the follow-up process according to the minimum goal of the cost time and quality loss in dynamic adjustment and process stability. © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the organizing committee of 13th CIRP conference on Computer Aided Tolerancing.