供电企业现场作业智能排班(调度)模型及算法  

Model and Algorithm of the Field Intelligent Scheduling for Power Supply Enterprise

作　　者：吴鑫淼[1] 章坚民[1,2] 陈蒙伟[1] 

机构地区：[1]杭州电子科技大学自动化学院,杭州310018 [2]浙江创维自动化工程有限公司,杭州310012

出　　处：《计算机系统应用》2013年第4期83-87,共5页Computer Systems & Applications

摘　　要：现场作业调度一直是电网运营的一个难点,如何对人力资源进行有效的管理和分配,是保证电网公司计划任务按时高效完成的基础.研究了一种基于人工智能的自动人员派发模型及计算系统:借鉴车间调度理论,结合遗传算法,进行人力资源的智能调度,以实现电力计划任务的最大完工时间最短以及延迟损失最低的优化目标.最后,经过算例分析,证明了模型算法的可行性.The field scheduling is always a difficult point of power grid operation. How to carry out the management and allocation of human resource effectively is the foundation of power grid corps scheduled tasks to be completed timely and efficiently. This paper introduces a kind of automatic human resource distribution model and computing system based on artificial intelligence： We draw from the Job-shop theory; combine with genetic algorithm to carry out human resource scheduling to achieve the optimization target of the maximum completion time is the shortest and the delayed loss minimum. Finally, through the example analysis to prove the feasibility of the model and algorithm.

关 键 词：电力现场作业 车间调度 遗传算法 调度策略 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程]