Abstract: The key factors in volved inprocess programming of data entering in BPO are analyzed,which include requirements of task,process method, schedule and equipment. The programming method is used to build the maths model, and the Genetic algorithm(GA)is selected to solve the optimization model in view of its easy encoding easy, fast search and robustness compared to other methods. According to the characteristics of the model, the normal GA is used for single-objective optimization. A case study is conducted and solved by MATLAB,and it shows this method is effective.

Key words: operational management, BPO, data entering, genetic algorithm, low cost

摘要： 本文对数据处理服务外包业务工艺规划所涉及的要素——成品数据要求、工艺方法、工序排序和设备工具进行了分析,结合数据处理业务流程特点,采用数学规划方法建立了非线性优化模型。在综合比较各类求解非线性规划的方法的基础上,鉴于遗传算法具有编码容易、搜索速度快以及鲁棒性等优点,选择遗传算法求解单目标优化问题。通过选取实际企业数据,利用MATLAB编程求解,验证了本文结果的适用性。

关键词: 运营管理, 服务外包, 数据处理, 遗传算法, 低成本