摘要
在对MC模式下供应链调度的基本运作特征描述及界定基础上,分析了调度过程中主导矛盾的缓解思路;通过将该思路引入动态调度的运作过程,分析了MC模式下的供应链动态调度机理.在调度求解过程中,引入蚁群觅食的寻优机理并对其进行特定的算法设计及改进,提出了供应链动态调度的蚂蚁寻优算法.算法特点为在运算过程中不仅能够反映该生产方式独特的运作特征要求,而且能够融入对主导矛盾的缓解思路.通过仿真,验证了算法的可行性.
Essential operation properties for supply chain dynamic scheduling in mass customization are described and defined. To relieve the dominant contradiction, train of thought for scheduling process is put forward on the basis of former work. Then this thinking is followed in the operation process of dynamic scheduling, and supply chain scheduling mechanism in mass customization is also analyzed. Optimization mechanism is introduced into the process while finding the scheduling solution, and ants optimization algorithm for supply chain dynamic scheduling is adopt- ed to devise and improve its particular algorithm. Characteristic of the new algorithm lies in that in computation process it can not only reflect unique requirements for the operation characteristic of this manufacture mode, but will also compromise the relief train of thought for the dominant contradiction. Feasibility of the new algorithm ultimately gets validated through a simulation.
出处
《管理科学学报》
CSSCI
北大核心
2007年第3期7-14,共8页
Journal of Management Sciences in China
基金
国家自然科学基金重点项目资助(70532004)
国家自然科学基金委创新研究群体科学基金资助(70321001)
教育部人文社科基金项目资助(06JC630017)
中国博士后科学基金一等资助项目(20060400074)
关键词
大规模定制
供应链调度
动态
蚂蚁寻优算法
仿真
mass customization
supply chain scheduling
dynamic
ants optimizing algorithm
simulation
