摘要
协同物流网络作为动态开放的网络需要整合多种资源,以完成多项并行的物流任务。为此,本文从物流服务集成商的角度,研究了带时间窗和资源约束的任务—资源集成调配问题。通过将物流任务分解为不同阶段,构造多阶段并发的协同物流网络任务—资源集成调配模型,并采用遗传算法对模型进行求解,以从候选资源集合中为任务阶段匹配合适的资源。算例结果表明,该模型能够有效实现N-N的任务-资源集成调配,使得协同物流网络的整体效益达到最优。
As a dynamic open network, the collaborative logistics network has to allocate multiple resources in order Then, it uses the genetic algorithm to solve the model in order to match appropriate resources for the task stages from the candidate set of resources. The example results show that this model can make N-N tasks and resources integrated deploy effectively and make the overall benefits of the collaborative logistics network the best.
作者
徐小峰
刘靖
XU Xiao-feng, LIU Jing(School of Economics and Management, China University of Petroleum, Qingdao 266580, Chin)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2018年第7期43-48,共6页
Operations Research and Management Science
基金
国家自然科学基金资助项目(71501188)
山东省自然科学基金资助项目(ZR2015GQ006)
中央高校基本科研业务费资助项目(17CX04023B)
关键词
协同物流网络
多阶段并发
任务-资源调配
遗传算法
collaborative logistics network
multi-stage concurrence
task-resource assignment
genetic algorithm
