云制造模式下粤港澳大湾区供应链的调度优化问题研究

Research on Scheduling Optimization of Supply Chain in Guangdong-Hong Kong-Macao Greater Bay Area under Cloud Manufacturing Mode

将粤港澳大湾区建设成为世界现代服务业基地是粤港澳大湾区发展的重点之一,而供应链是提供服务的基础,提高其能力和效率,才能保障服务的质量。随着云制造这种新型制造服务模式的发展,该模式下的供应链调度优化已经成为当今制造业研究的热点。利用遗传算法和蚁群优化的混合算法来解决云制造供应链调度优化问题,相较于传统的优化运算而言,该混合运算结合了不同算法和模型之间的优点,具有独特的优势。

To build Guangdong-Hong Kong-Macao Greater Bay Area into the world's modern service industry base is one of the key points in the development of Guangdong-Hong Kong-Macao Greater Bay Area,and the supply chain is the basis of providing services.Only by improving its ability and efficiency can the quality of services be guaranteed.With the development of cloud manufacturing as a new manufacturing service mode,the optimization of supply chain scheduling under this mode has become a hot topic in manufacturing research.The hybrid algorithm of genetic algorithm and ant colony optimization is used to solve the scheduling optimization problem of cloud manufacturing supply chain.Compared with the traditional optimization algorithm,the hybrid algorithm combines the advantages of different algorithms and models and has unique advantages.