摘要
为克服跨组织资源服务链中某个资源服务企业的不确定性,导致在规定的交货期内没有完成生产任务,从而使整个服务链的生产周期受到影响的问题,提出了资源服务的替代性调度和协作性调度,构建了在交货期内,使得时间最短和时间成本综合最优的数学模型,并针对该问题模型利用粒子群算法进行求解。最后通过一个仿真跨组织资源链调度算例,并根据数学模型和用粒子群算法求解,分别获得了算例基于替代性调度和协作性调度的方案,验证了这两种调度模型的有效性和可行性。
To overcome the uncertainty of some resource service enterprise in cross-organizational re-source service chain which will cause the failure to complete productive task within the specified time of de-livery and influence the production cycle of the whole service chain, this paper puts forward alternative scheduling and collaborative scheduling of resource service, establishes a mathematical model realizing the shortest time and optimal time cost within the time of delivery, uses particle swarm algorithm to solve the problem, respectively.obtains programs of the case based on alternative scheduling and collaborative sched-uling through a simulated cross-organizational resource chain scheduling case according to the mathematical model and particle swarm algorithm and verifies the validity and feasibility of both scheduling models.
出处
《浙江理工大学学报（社会科学版）》
2014年第1期13-17,28,共6页
Journal of Zhejiang Sci-Tech University：Social Sciences
基金
国家自然科学基金资助项目(71271192)
浙江省自然科学基金资助项目(LY12G01008)
浙江省科技厅公益计划项目(2013C31016)
关键词
资源服务链
交货期
仿真调度
数学模型
resource service chain
time of delivery
simulation scheduling
mathematical model
