首页> 中文期刊>中国机械工程学报 >Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan

Cooperative Optimization of Reconfigurable Machine Tool Configurations and Production Process Plan

     

摘要

The production process plan design and configurations of reconfigurable machine tool (RMT) interact with each other. Reasonable process plans with suitable configurations of RMT help to improve product quality and reduce production cost. Therefore, a cooperative strategy is needed to concurrently solve the above issue. In this paper, the cooperative optimization model for RMT configurations and production process plan is presented. Its objectives take into account both impacts of process and configuration. Moreover, a novel genetic algorithm is also developed to provide optimal or near-optimal solutions: firstly, its chromosome is redesigned which is composed of three parts, operations, process plan and configurations of RMTs, respectively; secondly, its new selection, crossover and mutation operators are also developed to deal with the process constraints from operation processes (OP) graph, otherwise these operators could generate illegal solutions violating the limits; eventually the optimal configurations for RMT under optimal process plan design can be obtained. At last, a manufacturing line case is applied which is composed of three RMTs. It is shown from the case that the optimal process plan and configurations of RMT are concurrently obtained, and the production cost decreases 6.28% and nonmonetary performance increases 22%. The proposed method can figure out both RMT configurations and production process, improve production capacity, functions and equipment utilization for RMT.

著录项

  • 来源
    《中国机械工程学报》|2012年第5期|982-989|共8页
  • 作者

    XIE Nan; LI Aiping; XUE Wei;

  • 作者单位

    Sino-German College of Applied Science, Tongji University, Shanghai 201804, China;

    Institute of Advanced Manufacturing Technology, Tongji University, Shanghai 201804, China;

    College of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou 325000, China;

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