供应链协同生产作业调度优化研究  

Optimization of Collaborative Scheduling in Supply Chain

作　　者：郑子钊[1] 胡燕海[1] 

机构地区：[1]宁波大学机械工程与力学学院,浙江宁波315211

出　　处：《宁波大学学报（理工版）》2011年第1期71-74,共4页Journal of Ningbo University：Natural Science and Engineering Edition

基　　金：国家自然科学基金(70871062);浙江省自然科学基金(Y607470)

摘　　要：提出工序制造单元的概念,以供应商最小化加工流程时间为目标,建立了供应链协同生产作业调度模型,并运用双层编码遗传算法对模型进行了求解,最后通过算例仿真计算表明:提出的模型和算法可以获得满意解.通过对供应商生产作业调度的分析,调度结果既可以指导供应商合理的安排生产,同时可以作为核心制造商分配订单的参考依据.The concept of operating manufacture cell is proposed. Aiming at minimizing processing time, the model of collaborative scheduling in supply chain is established. The genetic algorithm of hybrid double-coding is applied to the solution of the model, and the simulation shows that the model and algorithm is able to obtain satisfactory solution. It suggests that the scheduling results can direct suppliers to handle the production tasks more reasonably as well as efficiently.

关 键 词：供应链 协同 生产作业调度 遗传算法 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]