4S店的评价及奖励政策

4S店评价奖励 数学建模

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日期：2016年5

月

4日

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4S店评价奖励 数学建模

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4S店评价奖励 数学建模

4S店的评价及奖励政策

摘要

现4S店在国内发展极为迅速，为了加强对4S店的管理，提升服务质量，扩大市场份额，对汽车4S店进行各种评比及管理绩效评价，从而通过奖励政策激励4S店提高管理水平，提升品牌形象。针对4S店的评价及奖励政策问题，我们建立了数学模型。

针对问题一，我们根据附件的评比指标数据，选用层次分析法对55家4S门店的14项指标权重计算，判断矩阵见附录1，用Excel对55家店各项指标均值进行计算，用MATLAB对权向量和均值向量求积，对结果进行排序，得到该企业对4S店的季度和年度评比排名，而建立相应的数学模型，并绘出对应折线图及表格，通过折线图分析得到：各4S店实施奖励政策后我们所划分整体的核心指标与重要指标变化较为明显，而辅助指标变化不太明显，且在12个月中各项指标呈上升趋势。

针对问题二，在现有奖励总金额不变的情况下，对奖励方案的改进机及补充共提出两种方案，继续沿用问题一的层次分析法进行分解，建立方案一，对55家门店按月进行评比排名得出前十进行奖励，将问题一中所得出的权向量与各月均值向量进行求积，对结果进行排序，得出55家店的月度排名建立出数学模型，并建立表格列出前十排名。方案二，对55家门店以核心指标与重要指标作为评定指标建立各季度综合得分情况，并列出前十排名进行奖励。对考核中的两种方案及企业提出的方案进行显著性检验，检验结果表明：各类门店的辅助指标与核心指标及重要指标具有一定关联。不能片面的只考虑核心和重要指标，应同时考虑重要指标、核心指标、辅助指标对门店评优的影响，通过层次分析法，计算出各种指标在考核中所占的权重，再通过相应分值转换评选出季度评比的优秀门店。评选结果表明：两种奖励方案评选出的优秀门店名单相较于企业设立的奖励政策出现了一定的变动，在方案一，方案二和企业设定方案这三种评比结果进行比较中，方案一有较小波动而方案二则有较大明显差距，但也可侧面反映55家店的核心、重要指标完成情况。在两方案里优秀门店的各项指标都符合方案制定的预期，因此这两种考核方式更能全方面衡量门店的优秀程度。

针对问题三，为了合理的利用增加40万专项奖励资金，调动各家门店的积极性，我们通14项指标进行层次分析后对各指标的权重排名，得到销售完成率为最高指标并设为专项奖励的唯一指标，并对其四个季度的均值计算得出了各门店的季度排名，我们对其中的前十五名进行了奖励。这使得该专项奖励方案较好的区分了效益好的门店与效益差的门店，能够很好的鼓励效益较差的门店。对于排名在后20%的4S店，进行比较后发现在专项奖励下排名仍在后20%的门店中有一部分也在前两项的排名的后20%中。

针对问题四，为了提升4S店的管理水平，给企业、4S店和客户都带来利益，我们选择辅助指标中的服务效果、诚信运营、客户回头率、返修率和核心指标部分作为各家门店的评定指标，并在这些指标进行权重排列，权衡后采用季度对这些指标综合运算得分的排名，对排名前十的门店进行不同奖项的奖励。

创新点：

1

用Excel进行求均值，弥补了MATLAB软件在求多数据组均值方面的繁琐。

关键字：数学建模；层次分析法；矩阵论

4S店评价奖励 数学建模

问题重述

目前，4S店在国内发展极为迅速，为了提高服务体系以及扩大销售量，众多企业相继推出奖励政策对其下4S店进行评比奖励，以达到提高管理水平、提升企业形象的目的。国内某大型企业选取了55个经营规模、效益、品牌相近的4S店开始试行。评比指标包括以下14项：电话接待服务、店内接待服务、客户维护、员工面貌、店内环境、店内服务设施、户外环境、户外设施、诚信运营（有效举报数量）、客户回头率（到店客户中老客户占的百分比）、维修量完成率（实际维修数量与计划维修数量之比）、返修率（返修数量与实际维修数量之比）、销售量完成率（实际销售量与计划销售量之比）、利润完成率（实际利润额与计划利润额之比）。其中，1—9项按照10分制由客户、企业、相关专家等打分综合得到。

附件1—附件14给出了55家店各项评比指标的月度得分情况，据此完成以下问题：问题1：

1）根据附件的数据，选用适当的方法进行综合评比，并给出55家4S店每个季度以及年度评比结果；

2）定量分析实施奖励政策后各项考核指标的变化情况以及带来的整体效果。问题2：现有奖励总金额不变，作为对现有奖励方案的改进及补充，制定不少于两种对4S店的评比奖励方案，并论证这些方案的合理性；同时利用附件的数据，给出55家4S店的具体评比结果。

问题3：企业决定再增加40万元奖励资金，用来设立专项奖励，目的是充分发掘潜能，调动各家4S店的积极性。

1）请为该企业制定专项奖励政策，并论证其合理性；

2）利用附件所给的数据，给出55家4S店评比结果以及具体奖金分配方案；3）对于评比排名在后20%的4S店，指出存在的问题，并给出改进建议。问题4：为了提升4S店的管理水平，提高企业经济和社会效益，给这家汽车企业提出奖励政策的建议。

1）说明企业应该制定哪些奖励政策，以期兼顾企业、4S店和客户的三者利益。奖励政策中要至少有一种不同于问题1—问题3所设立的奖项，并论证其合理性；

2）对于新设立的奖励政策，利用附件的数据测算评比结果。

4S店评价奖励 数学建模

问题1：针对55家4S店的综合得分情况，这一问题，运用层次分析法对十四

项指标进行运算得出各项权重进行定性分析。对于季度和年度的综合得分，用Excel对一个季度及年度的十四项指标进行均值计算，根据层次分析法(AHP法)需对十四项指标进行分层，划分出核心指标、重要指标、辅助指标三类并对数据进行季度、年度的综合评比统计。为研究题设奖励方案实施后，各类别门店各项考核指标的变化，需求出相应门店指标的季度和年度评比得分平均值，并绘制出曲线图，根据曲线图的波动以及增幅情况，可以分析出题设奖励方案的实施对各类门店带来的效果。

问题2：在面对现有奖励总金额不变的情况下，之前年度与季度不能细化的去

了解各个门店工作的优秀情况，且在14项指标中我们仅能笼统的了解到55家门店的综合得分情况，为此制定较为合理的评比奖励方案，我们需要作出更加细化的评比方案及14项指标中个别指标完成程度方案。由此我们在14项指标中筛选出核心指标及重要指标作为奖励方案的评比指标并从月度、季度、年度中择优考虑引用季度进行评比，并引用问题一中的权重计算，从而得出新的季度评比奖励方案。再细化了解的问题上，我们在问题一的基础上将季度细化为月度，并计算出14项指标的权重及对各项指标月度均值进行计算，两者求积，从而形成以月度评比的奖励方案。

问题3：针对55家4S店这一庞大队伍，为充分勾起它们的竞争意识及发掘出

它们潜能，调动各家4S店的积极性，企业增设40万专项奖励资金。而在如何合理运用的问题上，我们需要建立对专项指标进行奖励的数学模型。为此我们可通过对14项指标权重计算得到所占份量的一项指标，并在月度、季度、年度三者中进行综合考虑后采用较为合理评定奖励的时间区间后，可进行推行前十奖项的设立。

问题4：对于问题四中如何在兼顾企业、4S店及客户三者之间的利益上，提出

一项新设立的奖励政策。在企业方面，销售利润是他们最为关注的地方；在4S店中，在于经营过程里能够有合理的奖励资金；在客户方面，在进入4S时是否能够得到最好的服务最为重要。由此可见，我们可以从销售利润、奖励金额分配及服务的提升这三个方面进行政策的提出。

4S店评价奖励 数学建模

1、假设所给14项指标数据真实有效，能够展现各个门店在实际经营中的业绩与问题；2、假设所有的4S店受周边环境，地区人口密度是否密集等其他因素影响较小，可以忽略不计，能够反映该店的日常经营情况；

3、假设诚信运营、客户回头率、维修量完成率、返修率、销售量完成率、利润完成率数据真实能够反映实际情况，具有客观性；

4、假设企业给定的各4S店的各项指标的达标值均在合理范围之内；

5、在数据计算过程中，假设误差在合理范围之内，对数据结果的影响可以忽略。6、假设55家4S店对企业制定的奖励方案没有异议

符号说明

S

Wi

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SAlambdabCIRICR

总分权重各项分数均值判断矩阵矩阵最大特征根一致性指标平均随机一致性指标

一致性比例

模型的建立与求解

问题一

模型的建立：

对于4S店，我们对14项指标的性质综合考虑后进行分类筛选成核心指标、重要指标、辅助指标。其中辅助指标还可分为服务效果和门店面貌两部分。利用层次分析法(AHP法)(文献[1])解决多项指标的复杂问题，采用定性与定量相结合的决策分析方法。该方法将定量分析与定性分析结合起来，我们从中判断各指标实现的难易来判断相对重要程度，并合理地给出每个指标的标准的权数，利用权数求出各个指标的优劣次序，由此可有效地解决那些难以用定量方法解决的课题。层次分析法在面对指标的性质和要得到评比后的得分情况时，可将指标分解成不程度的大指标，形成一个多层次的分析结构模型，

4S店评价奖励 数学建模

从而最终使十四个指标归结为最低层相对于最高层(评比得分)的相对重要权值的排定。层次结构模型图如下图所示：

季/年度综合评比得分

核心指标重要指标辅助指标

销售量完成率利润完成率

诚信运营

客户回头率维修量完成率

返修率

服务效果门店面貌

电话接待服务店内接待服务

客户维护员工面貌店内环境

店内服务设施

户外环境户外设施

在季度评比的奖励方案上。将一个季度的十四项均值算出与权重相乘得出季度综合得分。对于年度奖励的评比，需对一年里的十四项指标的均值计算，并与权重相乘得到55家店的年度综合得分后进行排名，最后确定获得年度奖励的名单。总评总分计算方法：

14

i

S WiXi

MATLAB执行程序见附录2

1）季度评比获奖模型

4S店评价奖励 数学建模

2）年度评比获奖模型

55家店12个月综测折线图

由对附件1—附件14的分析分别计算出各四个季度的十四项评比得分平均值见附录3-附录6，及年度的十四项评比得分平均值见附录7，利用层次分算出十四项评比各项权重（文献[3]）。

对比第一季度与第二季度、第三季度与第二季度、第四季度与第二季度可知在奖励政策推行之后，核心指标与重要指标变化较为明显，而辅助指标变化不太明显，在对12个月55家店的各项指标的趋势变化折线图可知，各项指标均呈现上升趋势，由此可知55家店总体水平不断提高。

4S店评价奖励 数学建模

问题二

模型建立：

在问题二中，在现有奖励总金额不变的情况下，对奖励方案的改进及补充共提出两种方案。方案流程图如下：

方案一：利用数学方法对一个复杂系统的多因素信息加工和提炼，以求得其优劣等级的一种评价方法层次分析法求因素的权重，而这种评价方法过程涉及模糊因素，称为模糊综合评判。确定因素的权重是模糊综合评判的核心问题，继续沿用问题一的层次分析法进行分解，建立方案一，对55家门店按月进行评比排名得出前十进行奖励，将问题一中所得出的权向量与各月均值向量进行求积，对结果进行排序，得出55家店的月度排名建立出数学模型，并建立表格列出前十排名。MATLAB执行程序见附录8

方案二：对55家门店以核心指标与重要指标作为评定指标建立各季度综合得分情况，并列出前十排名进行奖励。对考核中的两种方案及企业提出的方案进行显著性检验，

检验结果表明：各类门店的辅助指标与核心指标及重要指标具有一定关联。不能片面的只考虑核心和重要指标，应同时考虑重要指标、核心指标、辅助指标对门店评优的影响，通过层次分析法，计算出各种指标在考核中所占的权重，再通过相应分值转换评选出季度评比的优秀门店。MATLAB执行程序见附录9

4S店评价奖励 数学建模

结果如下：

评选结果表明：两种奖励方案评选出的优秀门店名单相较于企业设立的奖励政策出现了一定的变动，在方案一，方案二和企业设定方案这三种评比结果进行比较中，方案一有较小波动而方案二则有较大明显差距，但也可侧面反映55家店的核心、重要指标完成情况。在两方案里优秀门店的各项指标都符合方案制定的预期，因此这两种考核方式更能全方面衡量门店的优秀程度。

55家4S店月度的具体评比结果：

综合评比排名

排名

12345678910111213141516171819202122232425262728

一

1941181621323726362334425222610351715131243443053825

二

19214126373432163536218104522361722124355301320532544

三

19323441372118164222310172352612523662943302555201131

四

19413234102137351321723361812262016253055422436543152

五

192123455411037112254188174450311448235262532262053

六

19234413523374266363210182220175530442916542111254350

七

1934241023354154172618375532254463622215231112916320

八

1934241353255423172131541122182610362052446372915349

九

1923441353231105542311364426251837212254634049503952

十

1934214122

255231026204035254371732611315018368525444

十一

19344121022215537351754450818204432148311165236409

十二

192123455411037112254188174450311448235262532262053

4S店评价奖励 数学建模

293031323334353637383940414243444546474849505152535455554020542439117492946313514502851339127423848474529241115340541431463985284950339715127384842474571354464015533241444503985493315148928274745423849242946394440311508481515114533394728542727384540335435192436304639141249738163315282942134552747121535251132483114534033494845939467127538284742433040512481339503345487121415149475327289464238512253981330534024145074316483328274694247151545382017435124137531514830121482946274228334559471638155313314724949461481643295112394230333827528474526495171453251523244330422946312381633394527471328540335435192436304639141249738163315282942134552747

问题三

模型建立：

针对55家4S店这一庞大队伍，为充分勾起它们的竞争意识及发掘出它们潜能，调动各家4S店的积极性，企业增设40万专项奖励资金，我们需要建立对专项指标进行奖励的数学模型（附录10）。

为此我们通过对14项指标权重计算得到销售量完成率所占份量的较大，所以选用销售量完成率作为唯一指标。并在月度、季度、年度三者中进行综合考虑后采用季度作为合理评定奖励的时间区间，以季度作评定期限计算出每个季度的综合得分均值后进行综合比分排名，便可得到排名前十的名单。季度综合排名如下：

以销售量为评比因素的季度前十排名

第一季度

第二季度

第三季度

第四季度

一二三四五六七八九十

18482115124146234340

484721446257401726

448257472023402126

4621425264048382420

4S店评价奖励 数学建模

四个季度各个4S店销售量在奖励政策推出之后的变化折线图(文献[2])如图所示：

问题三的结果分析：

1)由以销售率作为评比因素得出的排名表以及折线图可知，在以销售率作为评比因素

的政策推出之后，各个4S店的销售率呈上升趋势，而对于营销企业而言，销售量的提升是一项品牌打造的决定性力量，因此此方案能提升销售率，具有可行性。2)由以销售率作为评比因素所得出的55家4S店的具体评比情况见附录11，下图是针

对此种评比方案所提出的奖励资金分配方案(以一个季度为例):

评比排名

第1-5名第6-10名第11-15名

奖励金额（万元/店）

10.60.4

3)对于排名在后20%的4S店，在与问题一与问题二的方案二的排名的后20%进行比较

后发现在专项奖励下排名仍在后20%的门店中有一部分也在前两项的排名的后20%中，如第1、3、28、45等家店。经过分析后我们认为这些店可能存在的问题有接待

4S店评价奖励 数学建模

服务不够热情，员工面貌不佳，店内外环境以及服务设施差等问题。我们给出的建议有：加强员工建设，增强员工精神风貌，美化环境和改善服务设施，制定合理的销售计划并注意信息反馈。

问题四：模型的建立

在兼顾企业、4S店和客户的利益前提下，为了提高企业的经济、社会效益以及4S店的管理水平，通过建模的过程，做出如下分析;在企业方面，销售利润是他们最为关注的地方；在4S店中，在于经营过程里能够有合理的奖励资金；在客户方面，在进入4S时是否能够得到最好的服务最为重要。从中，我们发现指标中以电话接待服务、店内接待服务、客户维护、诚信运营、客户回头率、返修率、销售完成率、利润完成率等评比因素进行前十名的季度奖励能够很好地调度三者关系，因此根据这些评比因素进行评比，能达到扩大销售额、提升品牌形象的目的。（MATLAB程序见附录12）相关奖励制度;

评比排名第1名第2-3名第4-6名第7-10名

奖励金额（万元/店）

6.25542

根据对奖励政策下55家4S店的排名分析，在实施了该奖励政策后，我们可以看到在设立指标上做的比较好的店一直维持在前十左右，表明该奖励政策有效，能对各4S店产生影响。该奖励方案能够兼顾并提升企业，4S店和客户三者利益。

4S店评价奖励 数学建模

新奖励政策下的季度前十排名：

以电话接待服务、店内接待服务、客户维护、客户回头率、返修率、销售完成率、利润完成率为评比因素

的季度前十排名第一季度

36

第二季度

10

第三季度

31

第四季度

22

参考文献

[1]赵静，但琦.数学建模与数学实验（第四版）.高等教育出版社.2014.8.

[2]余胜威.MATLAB数学建模经典案例实战.北京：清华大学出版社.2015.15~26.

[3]guochengxuan.层次分析法确定权重/p/guochengxuan01.2016.5.2[4]1107510071.葡萄酒评价模

型./view/616d7348fe4733687e21aa7f.html?from=search2016.5.1

[5]（美）GeraldRecktenwald著伍卫国万群张辉等译.数值方法和MATLAB实现与应用.机械工程出版社.2004.9

4S店评价奖励 数学建模

附录

附录1

判断矩阵以及权重计算程序:SA=[12355

1/2124454657687989898989;8;1/31/213331/51/41/31111/51/41/31111/51/41/31111/61/51/41/21/21/21/71/61/51/31/31/31/81/71/61/41/41/41/91/81/71/51/51/51/91/81/71/51/51/51/91/81/71/51/51/51/91/81/71/51/51/51/91/81/71/51/51/5

];

[V,D]=eig(SA);

w=V(:,1)/sum(V(:,1));lambdab=max(eig(SA));nb=size(SA);

CI=(lambdab-nb)./(nb-1);RI=1.58;附录CR=CI./RI;

2：MATLAB问题一模型程序附录2：Az1=[7.929.389.03

9.428.037.829.188.928.448.869.228.909.377.499.427.226.927.428.618.978.188.899.339.659.689.378.007.687.248.977.178.127.488.049.428.787.318.048.007.557.967.318.357.938.598.509.137.629.208.648.496.898.887.526.16

6.78

45232323121/211/31/21/41/31/41/31/41/31/41/31/4

1/3

8.159.267.789.177.608.509.689.298.908.278.348.948.526.379.318.686.917.07

677777;455555;455555;455555;344444;233333;122222;11111;11111;11111;11111;1

1

1

1

1;

8.079.247.939.268.968.219.696.938.347.208.437.107.227.447.667.499.519.217.457.949.487.448.179.098.238.907.717.629.118.749.018.887.777.946.68

7.40

7.917.207.259.259.388.238.659.127.759.178.856.988.177.909.049.159.117.608.988.387.848.437.468.807.387.407.728.747.016.458.388.208.266.477.23

7.52

6.599.056.658.898.529.628.239.188.509.397.618.268.898.856.787.367.787.95

1/21/21/21/21/2

4S店评价奖励 数学建模

8.018.558.458.117.758.608.488.748.119.188.638.137.918.128.158.268.328.618.498.079.048.018.267.728.157.648.878.238.458.258.058.318.427.887.747.888.108.038.427.837.808.917.978.439.048.298.648.887.529.217.948.508.218.818.949.248.448.038.438.668.668.179.438.657.978.770.330.080.250.330.580.170.250.670.170.420.250.580.2564.35

71.14

8.409.248.268.458.818.357.977.818.108.597.967.677.897.978.827.527.818.128.628.288.398.088.238.328.248.508.067.988.207.997.368.449.408.918.638.647.697.347.807.838.477.248.048.018.249.297.107.528.518.339.128.978.478.748.718.428.738.138.268.220.170.330.170.420.580.580.080.420.500.170.420.6768.38

61.82

8.517.978.269.288.778.029.028.448.668.788.718.768.028.138.427.768.919.018.457.688.937.919.088.637.659.098.378.148.677.668.128.597.958.368.768.219.388.758.987.148.386.847.089.449.187.467.127.578.278.778.848.218.427.928.378.518.098.278.028.540.500.250.330.670.500.330.330.250.420.250.420.3368.54

71.14

8.197.708.458.618.048.948.788.588.657.649.108.908.468.798.298.067.907.668.568.897.968.229.018.288.598.639.028.257.628.227.378.607.807.538.999.167.309.179.069.167.658.919.357.329.168.957.068.408.438.208.319.348.358.828.808.798.408.438.898.590.500.080.500.250.420.420.330.670.250.330.080.2570.80

64.74

8.887.987.929.039.038.218.178.298.668.357.719.088.767.919.389.368.488.016.927.807.338.648.177.188.818.768.858.137.808.690.170.250.080.500.670.2564.96

4S店评价奖励 数学建模

73.3168.9278.1366.4377.4171.2469.3871.1864.3971.3676.1678.8376.1778.1575.0176.3973.0064.6174.2773.4063.6272.3965.7166.0166.3462.56

103.86112.60111.59108.5396.23112.06102.9994.21104.92106.9173.8875.8470.7869.6271.86106.54105.4476.1465.2878.5664.7069.4798.7992.9073.0571.6766.8075.7473.97106.26104.8769.3563.2865.8066.0168.21108.80113.93114.44107.49112.63113.7399.8595.1992.48111.27107.85113.35104.1595.3593.2599.95104.4596.5393.80113.17114.09107.37108.646.982.826.474.414.315.144.886.766.396.182.536.552.633.307.776.907.896.808.046.205.177.277.674.252.855.526.346.777.615.773.2694.27104.8196.06113.5496.36109.0991.28110.56103.96102.04110.34111.27113.46110.06111.6590.86104.45108.30104.79108.45110.33109.94101.98112.27110.41112.77111.32114.17110.07109.55106.3896.8595.0984.3991.8586.8287.55103.2989.5295.0187.7493.8893.7593.1493.3592.7888.2785.0490.0788.5498.6894.5690.7190.4492.95101.0497.4996.34109.0992.2196.75101.66];

A1=Az1.*repmat(w,size(Az1)./size(w))B1=A1'

C1=B1(1:55,1:8);D1=B1(1:55,10:11);E1=B1(1:55,13:14);F1=B1(1:55,9);G1=B1(1:55,12);H1=[C1,D1,E1];I1=[F1,G1];

95.1792.20113.1494.27108.73114.5899.01117.29109.86110.95111.9698.885.677.322.555.842.876.897.355.762.606.943.706.357.265.703.187.826.525.1393.21112.19100.28110.19109.54110.80111.54112.84112.32108.57107.14107.6295.54110.7699.5997.01

108.04

99.68

107.58103.91101.1085.5993.7880.6188.31105.45110.0298.7799.12109.18106.1495.7486.06106.54102.79101.9594.9893.667.698.062.766.096.986.2187.7390.42

95.3796.8688.5894.33107.27110.27109.12112.11101.80109.88100.20101.75

4S店评价奖励 数学建模

jg1=mean(H1,2)jg01=mean(I1,2)jg010=(-1).*jg01jieguo1=jg1+jg010p1=[-sort(-jieguo1)]xuan1=p1(10,1);

[i,j]=find(jieguo1>=xuan1);dian1=[i];

kf=jieguo1(i,1);mf=[kf,i];

mff=sortrows(mf,-1);mfff=mff(1:10,2)

附录3;第一季度十四项指标均值

第一季度十四项指标均值

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849

17.108.848.926.966.989.296.936.265.878.976.837.099.366.989.156.569.078.758.908.258.306.738.226.599.277.425.698.418.728.448.449.535.927.448.608.649.106.869.326.207.966.037.368.967.306.265.335.757.38

27.817.548.009.566.606.607.307.367.698.789.409.369.327.147.189.038.738.508.297.206.907.739.398.917.906.957.606.658.766.376.746.597.007.697.758.687.176.357.327.898.866.826.556.796.129.118.296.648.45

37.195.626.587.267.067.625.876.017.795.757.196.594.966.696.516.907.778.687.237.478.708.248.507.545.285.485.555.988.747.747.598.007.997.196.975.957.415.537.676.006.445.996.944.676.746.515.075.455.71

47.787.417.268.777.737.416.856.548.417.166.627.807.617.348.417.367.386.988.007.647.927.567.917.016.628.076.617.987.556.507.098.437.598.267.717.738.497.717.317.587.217.837.896.468.107.376.987.046.79

57.266.906.626.626.657.217.327.687.037.367.117.956.776.926.477.256.626.867.747.107.006.657.668.436.506.457.708.607.067.897.637.476.727.328.227.397.246.807.476.998.737.296.717.286.457.076.517.287.48

66.777.127.067.776.928.118.168.338.287.236.277.396.818.006.499.017.506.517.177.317.726.467.546.746.767.178.937.427.356.887.217.297.997.037.338.786.487.199.187.707.107.807.326.467.537.657.148.198.53

76.898.266.866.409.108.276.658.726.007.237.337.247.168.326.598.998.386.758.757.797.216.517.156.297.107.927.098.087.717.996.416.878.828.867.237.866.478.866.888.898.566.568.917.957.837.287.326.156.71

88.128.477.737.447.708.477.417.577.988.767.618.368.608.617.557.508.868.597.137.887.818.057.887.087.998.838.468.487.938.298.157.928.588.518.377.377.628.957.927.417.527.458.027.997.158.447.377.677.62

90.330.330.000.000.670.330.670.330.330.330.330.000.670.331.000.330.000.671.000.001.000.330.330.000.000.670.000.001.330.000.330.330.330.671.330.670.001.000.000.331.330.330.000.331.000.001.001.000.33

1048.1665.1753.9746.9168.8661.4168.8151.1050.4766.9855.5874.1353.3775.4568.2274.5266.2660.0262.4058.2061.9748.9962.5770.6654.1061.1848.9667.2774.9471.0074.1566.6760.4173.6456.5555.8673.6762.0946.3766.8265.3158.7851.1870.1953.4947.2964.7947.8154.95

11102.9296.05104.60114.6399.8288.38102.1091.69103.08104.6697.3689.4799.70101.25100.0185.9999.30112.81111.99101.99105.53112.2494.9890.7485.45112.0884.9889.3885.55105.71102.06113.1886.95102.73112.27102.3898.5090.9384.1194.4699.7493.24122.24104.3287.9690.6787.30111.27110.69

129.482.659.015.805.076.6010.402.7110.947.086.368.988.978.778.842.1610.6410.382.649.862.562.7310.769.568.162.673.119.4310.559.1211.158.049.974.159.777.446.2110.619.865.713.4010.727.873.879.977.598.9010.7410.69

1383.5591.7788.55107.7189.2786.67109.0192.81103.42103.8883.96110.6996.7894.05111.02104.52107.04113.36106.07105.71111.77108.72110.54108.68108.23106.7794.1784.6798.09103.5196.61102.70104.10100.22103.50107.77109.14105.4595.56109.48110.6187.84110.5191.6979.80110.55106.73113.22105.61

4S店评价奖励 数学建模

5051525354557.656.098.536.699.567.457.678.847.018.427.137.115.255.925.875.836.626.877.877.828.428.357.127.308.687.868.477.558.548.158.516.908.768.646.956.516.266.186.358.175.697.127.088.348.337.778.148.031.330.330.330.330.330.0047.6861.1763.2771.7060.8248.84106.65103.51108.5693.29105.38103.988.5911.068.238.6110.084.91105.1583.64105.1592.1482.7598.38附录4;第二季度十四项指标均值

第二季度十四项指标均值

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455

17.519.529.098.337.619.297.326.286.159.618.057.839.447.499.036.979.288.879.149.028.357.218.957.649.398.056.378.259.358.548.849.576.278.119.188.969.236.999.337.277.946.437.438.978.727.156.767.078.127.716.578.366.339.538.31

28.807.698.719.436.826.937.587.387.599.109.489.598.927.097.029.038.788.749.508.166.968.279.438.828.847.248.096.888.567.057.616.917.888.867.839.407.887.227.707.849.477.117.407.827.379.738.336.849.027.989.016.688.047.757.43

38.127.097.658.067.928.897.417.099.037.537.747.417.297.187.037.218.658.558.438.348.929.488.768.546.456.126.076.929.178.618.248.838.637.948.277.158.356.418.646.307.677.467.796.197.407.176.156.626.926.327.416.747.437.437.61

48.318.028.129.108.447.747.957.128.467.907.158.197.837.739.318.338.347.488.418.348.538.168.387.577.598.367.458.387.807.257.488.627.968.628.278.839.068.227.748.108.288.498.507.078.897.927.687.687.398.578.308.948.687.807.95

57.607.737.417.537.577.678.438.527.887.748.538.627.268.017.427.797.587.528.157.817.407.529.058.757.377.338.358.827.728.478.058.207.048.468.797.897.697.098.377.428.537.387.357.567.157.717.367.867.638.788.308.697.918.908.78

67.858.228.058.367.519.068.148.488.407.957.697.517.858.028.069.127.897.357.897.987.527.368.207.427.418.059.657.647.717.097.858.018.387.288.109.447.397.829.348.967.738.177.617.208.237.597.888.068.018.598.209.049.077.557.56

77.608.776.886.799.398.506.909.366.807.148.337.677.398.836.808.849.427.348.508.428.067.048.176.727.028.926.858.388.747.987.716.719.609.387.337.997.049.347.899.499.366.688.968.517.897.818.216.367.216.997.116.868.296.637.84

88.368.498.058.057.928.407.948.048.419.058.138.898.728.718.058.029.098.217.488.318.298.388.117.468.008.488.508.598.258.378.068.368.198.608.867.818.089.358.407.907.897.818.268.427.488.307.647.978.067.528.228.918.218.428.61

90.670.000.330.670.000.670.670.000.000.670.330.000.671.000.670.330.330.000.670.001.000.001.000.000.330.000.330.330.670.000.670.000.670.000.000.330.000.670.670.330.330.330.330.330.670.670.670.670.330.000.330.000.000.000.67

1061.5964.8164.5354.3658.8273.8463.7560.5260.0174.8064.7180.8162.4279.2775.4378.0573.8568.5470.8766.4469.3661.8871.2776.8462.8071.0059.0176.8880.4377.8979.3374.5969.7279.7763.5462.9179.1171.5959.4575.7473.4067.7663.6278.1864.5059.9768.7065.7859.3869.6176.3260.9869.6564.4663.94

1199.83115.65113.08102.6492.01109.8794.19107.55106.91115.74100.6491.96102.28104.57102.9492.04102.62114.53113.67104.67114.50114.1597.9692.6389.99113.6093.9493.0291.56110.76105.79112.5192.80106.73114.77104.56101.9893.2592.3497.80102.1496.37118.38108.0992.0694.6292.13112.82114.00108.69110.16111.5996.49107.98107.07

127.112.826.754.084.475.857.332.687.655.584.986.926.656.096.333.186.947.922.416.753.013.458.007.565.922.962.737.288.106.777.885.586.594.016.346.055.257.018.034.612.867.165.102.926.935.056.116.657.876.387.576.795.156.313.27

1388.56111.4793.30111.6492.8190.12112.1797.25109.05107.6289.32110.17101.0799.12109.85109.10111.87111.32108.69110.49112.23109.04112.16110.06112.04113.1999.0487.85102.53108.16101.86107.37109.34105.03108.04111.18111.36108.9299.14111.10109.1692.29109.4696.4584.63111.11114.10113.97111.55107.8594.71108.1896.6488.18106.77

1491.6689.7978.6687.9682.78103.4799.4695.3489.9382.7097.1185.6289.4483.3679.2289.0174.3391.8389.2288.7687.0586.5189.6484.3299.55107.0583.0884.9379.2086.2084.5092.9593.8694.38104.1390.0588.7486.5687.5085.8595.76100.6791.0577.6798.6392.4091.63106.6987.1791.16102.4898.3096.35100.8099.76

附录5;第三季度十四项指标均值

第三季度十四项指标均值

12

8.069.61

9.428.47

7.688.28

8.798.48

8.388.93

9.029.16

8.009.05

9.069.15

0.330.00

70.3575.53

104.73121.68

7.043.46

95.39107.97

98.3796.84

4S店评价奖励 数学建模

56781213141516202122232429303132363738394044454647485354558.038.937.897.287.728.968.149.277.228.957.888.029.138.949.259.129.659.868.839.347.389.297.958.989.127.277.157.686.739.678.987.527.468.528.009.869.087.637.558.778.017.909.739.549.419.227.449.047.659.648.237.418.028.329.297.899.319.247.309.138.747.898.569.577.847.838.446.608.297.958.108.899.209.749.439.309.318.699.259.507.498.666.749.547.376.978.267.735.936.788.128.728.188.598.068.828.408.088.808.219.518.718.439.228.459.138.488.318.408.069.169.739.468.968.298.988.159.418.118.368.088.948.618.408.508.198.999.309.057.879.168.158.628.498.128.899.339.348.498.808.438.638.909.027.918.748.638.727.868.627.978.578.199.419.127.599.618.718.398.708.558.568.709.208.838.218.939.498.058.037.609.268.339.708.418.679.599.527.719.118.009.279.009.428.148.109.418.857.419.217.888.109.207.169.018.268.887.458.616.969.388.038.236.819.207.589.258.809.319.658.177.958.967.458.347.878.878.428.808.828.379.429.238.758.018.558.408.629.048.518.248.748.538.588.568.268.189.759.178.398.347.878.728.008.418.918.549.080.000.000.000.000.670.000.000.671.330.670.332.000.001.330.670.330.000.330.000.670.000.000.000.000.330.330.000.000.670.330.0069.7172.0473.1569.3679.7972.6078.2376.0476.6873.6275.6668.8676.0477.5781.0476.9179.3379.0968.9077.8379.0874.0574.6477.4670.0768.1178.0172.3977.7271.2264.9095.23113.9197.50112.5396.15106.92109.07107.6195.68109.55114.77113.83101.4297.0295.14114.81110.54113.47109.25106.0896.8996.52101.88113.1595.7399.0295.83114.63100.71112.56111.634.806.126.873.006.706.296.045.313.735.953.034.277.867.437.876.957.976.736.725.656.977.744.183.666.565.756.425.944.105.242.6598.8695.26114.31102.67110.61107.42104.95110.07112.48114.30111.52112.32112.24112.42107.80111.18108.09112.76110.62109.51110.26104.45113.10102.4690.39110.92113.04114.25102.0392.66110.4291.94111.37105.47102.5993.0097.0692.0990.3296.5697.6897.9997.9196.1891.8991.2194.7791.63100.5895.7399.0893.7194.4398.5493.63103.1299.8499.03110.73103.52107.08105.98

附录6;第四季度十四项指标均值

第四季度十四项指标均值

1234567891011121314

19.019.578.988.909.649.439.518.988.149.858.898.649.269.11

29.859.039.599.917.938.789.278.879.199.809.899.909.828.79

39.029.209.319.749.369.548.398.669.588.459.739.286.638.67

49.339.909.489.569.278.669.148.769.639.039.168.979.559.73

59.379.509.249.179.379.449.119.659.509.279.479.668.189.61

69.279.309.079.338.599.589.339.329.629.279.238.658.698.88

78.699.579.118.659.619.408.229.407.649.229.588.428.699.56

89.719.659.709.249.039.419.548.849.669.819.449.819.359.27

90.000.000.330.671.330.000.670.000.000.000.330.000.330.00

1077.3079.0378.5679.0476.7877.2777.4977.9777.8879.5678.5277.7777.3176.68

11107.98117.03114.21110.2397.87114.00101.36113.26113.68114.29108.7099.24110.79112.77

124.292.333.983.352.914.094.701.814.602.993.304.433.673.81

13109.59108.04104.01116.73104.49100.80113.29108.39114.21112.5597.71110.76110.58110.04

14107.34105.1696.73102.68100.11115.20114.29111.66107.87101.05115.06101.05106.26100.13

4S店评价奖励 数学建模

1718192021222324252627282930313233343536373839404142434445464748495051525354559.479.579.729.469.239.149.549.699.629.237.749.279.569.489.749.788.509.609.789.149.828.739.738.999.338.788.269.778.968.218.469.209.689.638.339.468.179.719.689.689.919.818.628.979.899.679.719.818.409.087.909.347.839.698.678.659.899.069.869.208.949.129.299.898.099.289.829.059.529.258.479.118.979.408.629.599.439.749.579.319.719.289.709.779.759.568.527.628.109.409.609.509.659.719.509.749.068.859.558.889.697.988.659.449.558.048.738.657.508.268.117.998.578.598.699.039.409.519.279.469.499.579.219.669.039.249.929.479.698.769.738.619.869.569.309.519.839.719.659.069.699.839.649.328.889.709.108.629.068.439.439.749.699.659.328.819.389.509.278.888.729.439.619.529.178.859.479.548.759.339.019.488.849.419.429.239.119.108.979.309.308.939.269.309.409.208.729.229.449.549.519.559.479.469.429.258.999.329.549.349.239.448.458.509.199.328.527.877.869.448.879.327.589.469.509.228.749.519.488.769.018.578.769.048.879.399.269.519.329.159.199.539.409.149.519.009.778.709.737.959.577.408.589.728.269.219.688.159.687.929.789.767.689.528.989.399.399.469.569.329.509.688.778.709.518.438.688.098.868.078.798.529.009.729.359.379.149.169.499.188.898.909.159.839.069.729.648.898.658.939.079.319.078.819.679.428.838.579.468.998.968.709.138.888.978.829.379.069.599.489.659.370.000.330.000.000.000.000.670.000.671.000.000.000.000.000.670.670.000.001.331.000.000.001.330.000.000.330.330.670.670.000.670.001.000.000.000.000.000.330.3376.6576.9276.0579.2577.7177.8175.5478.3076.0178.4477.6780.1978.9178.8979.7879.6977.1079.8677.0675.5374.9479.2378.5679.8577.6976.8075.5077.1375.9879.1178.0476.8377.2577.1275.7978.2476.8276.3672.57110.74114.11117.35113.77115.70114.69105.06100.2898.96113.54102.41100.9897.66113.82113.00114.24100.27114.11116.28112.91110.04100.31100.01105.67109.80105.76113.71113.9198.88101.8199.92113.95116.75108.99114.14113.43105.01115.17111.893.495.542.483.641.922.744.464.873.461.962.234.025.054.345.184.454.502.613.684.173.564.505.052.481.834.124.242.264.453.693.943.744.582.874.864.192.653.192.20113.62112.29113.03114.58118.32110.17111.64114.99116.10116.10109.4597.72109.39110.33112.62110.98109.86112.45109.48109.95111.32115.13108.79115.41111.68103.57112.39107.7696.10118.52111.41115.22111.46113.57107.83109.33107.9198.10109.9795.40106.65106.05105.72106.11106.56104.20100.34116.28118.17102.97101.02100.38102.46100.84109.22108.50110.01117.25104.19107.73101.05102.06106.70111.32116.64107.67103.25108.10108.83107.11116.83106.10113.20115.91114.11112.90112.11109.47

附录7;年度十四项指标均值

年度十四项指标均值

12345678910111213141516171819202122232425262728

17.929.389.038.158.079.247.917.206.599.428.037.829.267.939.267.259.259.059.188.928.447.788.968.219.388.236.658.86

28.978.188.899.687.227.448.177.908.239.339.659.689.297.667.499.049.159.189.378.007.688.909.519.219.117.608.507.24

38.007.557.968.528.238.907.387.408.897.318.357.936.377.717.627.728.748.858.598.509.139.319.118.747.016.456.787.62

48.558.458.409.248.517.978.197.708.888.117.758.268.458.269.288.458.617.988.608.488.818.358.778.028.048.947.928.74

58.158.267.897.978.028.138.468.798.178.328.618.827.528.427.768.298.068.298.498.077.818.128.919.017.907.668.669.04

68.238.458.248.507.659.098.598.638.768.258.058.067.988.378.149.028.257.918.318.428.207.998.677.667.628.229.387.88

77.808.917.697.349.388.757.309.176.927.978.437.807.838.987.149.069.167.809.048.298.477.248.386.847.658.917.338.64

88.818.948.518.338.278.778.438.208.819.248.449.128.978.848.218.319.348.768.038.438.478.748.427.928.358.828.858.66

90.330.080.170.330.500.250.500.080.170.250.330.170.420.330.670.500.250.250.580.170.580.580.500.330.420.420.080.25

1064.3571.1468.3861.8268.5471.1470.8064.7464.9673.3168.9278.1366.4377.4173.8876.1473.0569.3571.2469.3871.1864.3971.3675.8465.2871.6763.2876.16

11103.86112.60111.59108.5396.23106.5498.79106.26108.80112.06102.9994.21104.92106.91105.4492.90104.87113.93114.44107.49112.63113.7399.8595.1792.20113.1494.9895.19

126.982.826.474.414.315.677.322.557.695.144.886.766.396.185.842.876.898.062.536.552.633.307.777.355.762.602.766.90

1394.27104.8196.06113.5496.3693.21112.19100.28109.12109.0991.28110.56103.96102.04110.19109.54110.80112.11110.34111.27113.46110.06111.65111.54112.84112.32101.8090.86

1496.8595.0984.3991.8586.82107.58103.91101.1095.3787.55103.2989.5295.0187.7485.5993.7880.6196.8693.8893.7593.1493.3592.7888.31105.45110.0288.5888.27

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