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面向多级别顾客的差异化服务水平优化

韩珣 张锦

韩珣, 张锦. 面向多级别顾客的差异化服务水平优化[J]. 交通运输工程学报, 2020, 20(1): 192-203. doi: 10.19818/j.cnki.1671-1637.2020.01.016
引用本文: 韩珣, 张锦. 面向多级别顾客的差异化服务水平优化[J]. 交通运输工程学报, 2020, 20(1): 192-203. doi: 10.19818/j.cnki.1671-1637.2020.01.016
HAN Xun, ZHANG Jin. Optimization of differentiated service level for multi-level customers[J]. Journal of Traffic and Transportation Engineering, 2020, 20(1): 192-203. doi: 10.19818/j.cnki.1671-1637.2020.01.016
Citation: HAN Xun, ZHANG Jin. Optimization of differentiated service level for multi-level customers[J]. Journal of Traffic and Transportation Engineering, 2020, 20(1): 192-203. doi: 10.19818/j.cnki.1671-1637.2020.01.016

面向多级别顾客的差异化服务水平优化

doi: 10.19818/j.cnki.1671-1637.2020.01.016
基金项目: 

国家自然科学基金项目 71603219

国家社会科学基金项目 16CGL018

中央高校基本科研业务费科技创新项目 2682016CX054

详细信息
    作者简介:

    韩珣(1991-), 女, 四川成都人, 四川警察学院讲师, 工学博士, 从事城市物流网络规划和末端配送研究

    通讯作者:

    张锦(1963-), 男, 四川成都人, 西南交通大学教授, 工学博士

  • 中图分类号: U419.12

Optimization of differentiated service level for multi-level customers

More Information
  • 摘要: 基于顾客满意度受到当前供给各要素和以往服务体验共同影响的前提, 建立了参考效应下考虑距离、服务水平和价格等多因素影响的顾客效用函数; 对比顾客在不同企业获得的效用, 引入概率模型刻画顾客选择行为, 提出了服务水平与单位服务成本的关联函数, 构建利润最大化的服务水平优化模型并求解; 以具体商圈中自提服务水平为例, 对比分析了服务水平敏感性系数和竞争企业策略对优化结果的影响。研究结果表明: 敏感性系数从0.2变化为1.0时, 目标企业提供高服务水平带来需求覆盖率增长7.2%, 总利润提高10.4%;当竞争企业采取0.2的服务水平策略和1.2的价格策略时, 目标企业提供高于竞争企业0.39的服务水平吸引顾客, 并通过高价提高单位收益; 当竞争企业采取0.8的服务水平策略和1.8的价格策略时, 目标企业服务水平从0.59上调至0.63以应对竞争, 同时维持低价以保留部分价格敏感的客源; 当竞争企业采取0.2的服务水平策略和1.8的价格策略时, 目标企业通过提供高于竞争者0.47的服务水平提高市场覆盖率, 通过相近的价格保证利润空间; 当竞争企业采取0.8的服务水平策略和1.2的价格策略时, 目标企业提供低服务水平和价格以控制成本, 维持市场份额。

     

  • 图  1  面向多级别顾客的自提网点结构

    Figure  1.  Structure of pickup network for multi-level customers

    图  2  顾客效用影响因子

    Figure  2.  Impact factors of customer utility

    图  3  编码方式

    Figure  3.  Encoding method

    图  4  价格计算过程

    Figure  4.  Calculation process of price

    图  5  目标企业分类服务水平和价格策略

    Figure  5.  Classified service levels and price strategies of target company

    图  6  目标企业和竞争企业一般服务水平和价格策略

    Figure  6.  Average service levels and price strategies of target company and competing company

    表  1  不同算法比较结果

    Table  1.   Comparison result of different algorithms

    组别 χ1 χ2 最优平均值 平均运算时间/s
    遗传算法 粒子群算法 遗传算法 粒子群算法
    1 20 10 4 313 4 210 623 529
    2 40 10 8 011 7 989 1 121 1 015
    3 40 20 8 769 8 510 1 636 1 630
    4 60 10 8 935 8 931 1 735 1 669
    5 60 20 11 290 11 122 1 922 1 898
    6 60 30 13 360 13 003 2 120 2 062
    下载: 导出CSV

    表  2  竞争企业每周期竞争策略

    Table  2.   Competition strategy for each stage of competiting company

    周期 服务水平 价格
    标准服务 基础服务 专业服务 基础服务 专业服务 专业服务
    1 0.2 0.5 0.8 1.2 1.5 1.5
    2 0.5 0.8 0.5 1.5 1.8 1.5
    3 0.2 0.5 0.2 1.8 1.2 1.8
    4 0.8 0.8 0.5 1.2 1.5 1.8
    5 0.2 0.2 0.5 1.5 1.8 1.5
    下载: 导出CSV

    表  3  不同服务水平敏感系数下的优化结果

    Table  3.   Optimization results under different service levels' sensitivity coefficients

    指标 标准服务的服务水平策略 基础服务的服务水平策略 专业服务的服务水平策略 服务水平策略均值 顾客效用 需求覆盖率/% 总利润/元
    初级顾客 中级顾客 高级顾客 中级顾客 高级顾客 高级顾客
    敏感系数 0.2 0.56 0.68 0.56 0.62 0.62 0.56 0.60 58.64 51.0 158 888
    0.4 0.68 0.62 0.56 0.62 0.56 0.80 0.64 62.46 54.3 176 477
    0.6 0.74 0.56 0.68 0.62 0.56 0.74 0.65 64.41 56.0 184 415
    0.8 0.80 0.56 0.62 0.62 0.74 0.62 0.66 66.11 57.4 187 400
    1.0 0.74 0.62 0.56 0.68 0.68 0.68 0.66 67.05 58.2 190 185
    均值 0.70 0.61 0.60 0.63 0.63 0.68 0.64 63.73 55.4 175 360
    竞争企业 0.38 0.38 0.38 0.56 0.56 0.50 0.46 51.31 44.6 98 317
    下载: 导出CSV

    表  4  不同竞争企业策略下的优化结果

    Table  4.   Optimization results under different strategies of competing company

    情景 目标企业 竞争企业
    价格 服务水平策略 总利润/元 需求覆盖率/% 价格 服务水平策略 总利润/元 需求覆盖率/%
    策略 实际价格 策略 实际价格
    1 1.67 偏高 0.59 187 356 58.3 1.2 最低 0.2 4 590 41.7
    2 1.65 偏低 0.63 140 982 50.1 1.8 最高 0.8 200 855 49.9
    3 1.68 最高 0.67 208 165 61.4 1.8 偏高 0.2 122 959 38.6
    4 1.61 最低 0.62 118 616 47.0 1.2 偏低 0.8 24 816 53.0
    下载: 导出CSV
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  • 收稿日期:  2019-06-05
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