基于联合覆盖的自提点服务组合优化问题  

Service Composition of Pickup Point under Cooperative Coverage

作　　者：韩珣[1] 张锦[1,2] 陈义友[1] HAN Xun;ZHANG Jin;CHEN Yiyou(Southwest Jiaotong University, Chengdu, Chin)

机构地区：[1]西南交通大学交通运输与物流学院 [2]西南交通大学综合交通运输智能化国家地方联合工程实验室

出　　处：《管理学报》2018年第6期927-935,共9页Chinese Journal of Management

基　　金：国家社会科学基金资助青年项目(16CGL018)

摘　　要：企业通过品牌的树立和信息的共享,形成设施点对消费者的吸引合力。考虑顾客行为受到一定区域内、同企业的所有自提点的影响这一因素,运用分段函数刻画不同顾客对各服务产品的距离满意度,通过联合覆盖刻画顾客行为受到多个设施的影响,从而建立竞争环境下的自提点服务组合优化模型。采用帝国竞争算法进行求解,并用算例验证了模型和算法的有效性。研究表明:随着预算的增加,每单位成本带来的需求覆盖量增值逐渐减小;随着信号量阈值的增加,最大需求覆盖量呈上升趋势。通过对比联合覆盖与非联合覆盖模型,前者在覆盖量和覆盖成本方面均优于后者。Through the establishment of the brand and the sharing of information,the enterprise forms the attraction to the consumers.Customers are influenced by all pickup points belonging to a similar enterprise.Distance satisfaction of different customers to each service product was described by piecewise function,and the circumstance that customer behavior was affected by multiple facilities was depicted by cooperative coverage.Service composition optimization model of pickup point under competitive environment was established.Imperial competition algorithm was used to solve the problem,and the effectiveness of the model and algorithm was verified by a case.The result shows that as the budget increases,the added demand for each unit of cost increases gradually.With the increase of signal threshold,the maximum demand coverage shows an upward trend.Compared with non-cooperative coverage model,cooperative coverage model is superior in terms of demand coverage and coverage cost.

关 键 词：自提点 服务组合优化 联合覆盖 帝国竞争算法 

分 类 号：C93[经济管理—管理学]