商品车多式联运联盟成员选择及利益分配

doi:10.13229/j.cnki.jdxbgxb.20210808

Abstract

Abstract:

In order to support the establishment and development of the league for commercial vehicles multi-modal transportation， this paper focuses on the two main issues： league member selection and benefit distribution. First， the organization form of multi-modal transportation league of commercial vehicles is determined by analyzing the existing logistics mode of commercial vehicles in China. Then， the evaluation index system is established considering five factors， which includes transportation capacity， service capacity， information processing capacity， financial capacity and emergency response capacity， on this basis， the method which can be used to select the candidate enterprises of the main members of the league is proposed combined with matter-element evaluation model and entropy method. The labor division model of ant colony suitable for benefit distribution among league members is established by analysis the similarity between ant colony and league members. Finally， a case study is conducted based on the actual operation data of the enterprise. The results of this research show that the model and method proposed can better solve the problems of member selection and benefit distribution， and support the establishment and operation of the commercial vehicles multi-modal league.

Key words: engineering of communication and transportation system, multi-modal transportation, logistics mode, league, benefit distribution

CLC Number:

U492.2

Hong-fei JIA,Ying-jun XU,Li-li YANG,Nan WANG. League member selection and benefit distribution of commercial vehicles multi⁃modal transportation[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1060-1069.

Figures/Tables 7

Table 1

Table 2

Table 3

Table 4

Table 5

Table 6

Table 7

References 28

1	中国产业研究院. 2019-2025年汽车零部件物流市场深度调研与投资前景预测研究[Z].
2	Poppo L, Zhou K Z, Li J J. When can you trust "trust"? calculative trust, relational trust, and supplier performance[J]. Strategic Management Journal, 2016, 37(4): 724-741.
3	Albers S, Wohlgezoen F, Zajac E. Strategic alliance structures: an organization design perspective[J]. Journal of Management, 2016, 42(3): 582-614.
4	Wassmer U, Li S, Madhok A. Resource ambidexterity through alliance portfolios and firm performance[J]. Strategic Management Journal, 2017, 38(2): 384-394.
5	Agarwal R, Croson R, Mahoney J T. The role of incentives and communication in strategic alliances: an experimental[J]. Strategic Management Journal, 2010, 31(4): 413-437.
6	吴言波. 联盟组合配置、知识耦合与企业创新能力关系研究[D]. 成都: 电子科技大学经济与管理学院, 2020.
	Wu Yan-bo. Study on the relationship among alliance portfolio configuration, knowledge coupling and enterprise innovation ability[D]. Chengdu: School of Management and Economics,University of Electronic Science and Technology of China, 2020.
7	赵欣. 供应链环境下的整车物流资源整合研究[J]. 物流技术, 2014, 33(23): 35-36, 42.
	Zhao Xin. Study on integration of automobile logistics resources in supply chain environment[J]. Logistics Technology, 2014, 33(23): 35-36, 42.
8	Ohmae K. The global logic of strategic alliances[J]. Harvard Business Review, 1989, 67(2): 143-154.
9	张文瀛. 内河集装箱多式联运系统优化及协同策略研究[D]. 北京: 北京交通大学交通运输学院, 2020.
	Zhang Wen-ying. Research on optimization and collaboration strategies of inland river container intermodal transport system[D]. Beijing: School of Traffic and Transportation, Beijing Jiaotong University, 2020.
10	刘澜, 黄豪. 基于最优决策的国际铁路多式联运合作伙伴选择模型[J]. 中国铁道科学, 2019, 40(5): 110-117.
	Liu Lan, Huang Hao. Partner selection model for international railway intermodal transportation based on optimal decision[J]. China Railway Science, 2019, 40(5): 110-117.
11	Xiao Jian-hua, Niu Yun-yun, Chen Ping, et al. An improved gravitational search algorithm for green partner selection in virtual enterprises[J]. Neurocomputing, 2017, 217: 103-109.
12	陈凤菊. 基于多目标模糊优化的物流战略联盟伙伴选择问题研究[J]. 物流技术, 2015, 34(3): 205-208.
	Chen Feng-ju. Study on selection of strategic logistics alliance partners based on multiobjective fuzzy optimization[J]. Logistics Technology, 2015, 34(3): 205-208.
13	Su Jia-fu, Yang Yu, Zhang Xue-feng. A member selection model of collaboration new product development teams considering knowledge and collaboration[J]. Journal of Intelligent Systems, 2018, 27(2):213-229.
14	杜志平,付帅帅,王丹丹. 基于FAHP- Shapley值法的4PL跨境电商物流联盟利益分配研究[J]. 价格月刊, 2018(3): 44-49.
	Du Zhi-ping, Fu Shuai-Shuai, Wang Dan-dan. Research on benefit distribution of 4PL cross border e-commerce logistics alliance based on FAHP Shapley value method[J]. Price Monthly, 2018(3): 44-49.
15	贺政纲, 黄娟, 帅宇红. 基于蚁群劳动分工的多式联运利益分配研究[J]. 铁道学报, 2018, 40(11): 19-26.
	He Zheng-gang, Huang Juan, Yu-hong Shuai. Research on benefit allocation of multimodal transport based on ant colony′s labor division[J]. Journal of the China Railway Society, 2018, 40(11): 19-26.
16	杨伶俐. Shapley值法改进模型在跨境电商环境下供应链联盟利益分配中的应用研究[J]. 物流工程与管理, 2018, 40(12): 105-107.
	Yang Ling-li. The application of shapley value method in benefit distribution of supply chain alliance under cross-border E-commerce environment[J]. Logistics Engineering and Management, 2018, 40(12): 105-107.
17	傅硕文. 中小物流企业联盟利益分配研究[D]. 杭州:浙江工商大学管理工程与电子商务学院, 2015.
	Fu Shuo-wen. Research on the distribution of benefits of logistics alliance of small and medium enterprises[D]. Hangzhou: School of Management Engineering and E-Commerce, Zhejiang Gongshang University, 2015.
18	单毅. 基于铁路主导的公铁联运收益分配研究[D]. 成都: 西南交通大学交通运输与物流学院, 2020.
	Shan Yi. Research on the profit distribution of rail-road intermodel transport based on rail's dominant position[D]. Chengdu: School of Transportation and Logistics, Southwest Jiaotong University, 2020.
19	卫亮. 基于博弈论的空铁一体化合作策略及收益分配研究[D]. 北京: 北京交通大学交通运输学院, 2020.
	Wei Liang. Research on air-rail integrated cooperation strategy and income distribution based on game theory[D]. Beijing: School of Traffic and Transportation, Beijing Jiaotong University, 2020.
20	Bo Yang, Lin Wu. Research on benefit distribution of express enterprises based on cooperative game[J]. Scientific Journal of Economics and Management Research, 2020, 2(4): 11-16.
21	Maryati S, Firman T, An N S H, et al. Benefit distribution of community-based infrastructure: agricultural roads in indonesia[J]. Sustainability, 2020,12(5): No.2085.
22	秦田初. 电子信息企业动态联盟模式选择及其构建研究[D]. 桂林: 桂林电子科技大学商学院, 2010.
	Qin Tian-chu. Research on mode selection and construction of dynamic alliances of electronic information enterprise[D]. Guilin: School of Business, Guilin University of Electronic Technology,2010.
23	庄小云. 整车物流企业联盟收益分配研究[D]. 成都:西南交通大学交通运输与物流学院, 2012.
	Zhuang Xiao-yun. Research on revenue allocation in vehicle logistics enterprises alliance[D]. Chengdu: School of Transportation and Logistics,Southwest Jiaotong University, 2012.
24	李静, 张毕西. 我国整车物流高成本的原因及对策研究[J]. 物流技术, 2007, 26(8): 48-50.
	Li Jing, Zhang Bi-xi. Study on the cause and countermeasures of high-cost finished vehicle logistics in china[J]. Logistics Technology, 2007, 26(8): 48-50.
25	王兵. 中国物流联盟发展的挑战与机遇[J]. 物流技术, 2010, 29(15): 43-44.
	Wang Bing. Threats and opportunities for the development of logistics alliance in China[J]. Logistics Technology, 2010, 29(15): 43-44.
26	李静. 我国商整车物流联盟的组建问题研究[D]. 广州: 广东工业大学管理学院,2008.
	Li Jing. Research on the formation issues of vehicle logistics alliance in China[D]. Guangzhou: School of Management, Guangdong University of Technology, 2008.
27	中华人民共和国交通运输部. 关于推进供给侧结构性改革促进物流业"降本增效"的若干意见[EB/OL].[2022-03-10]. .
	Ministry of Transport of the People's Republic of China. Several opinions on promoting supply-side structural reform to promote "cost reduction and efficiency increase" in the logistics industry[EB/OL].[2022-03-10]. .
28	黄娟. 多式联运组织构建与利益分配研究[D]. 成都:西南交通大学交通运输与物流学院, 2018.
	Huang Juan. Research on organization construction and benefit allocation of multimodal transportation[D]. Chengdu: School of Transportation and Logistics, Southwest Jiaotong University, 2018.

Related Articles 15

[1]	Xian-min SONG,Shu-tian YANG,Ming-xin LIU,Zhi-hui LI. Fluctuation characteristics and prediction method of bus travel time between stations [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(8): 1792-1799.
[2]	Wen-jing WU,Yong-bin ZHAN,Li-li YANG,Run-chao CHEN. Coordinated control method of variable speed limit in on⁃ramp area considering safety distance [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1315-1323.
[3]	Zhi ZHENG,Bo GENG,Fu-min WANG,Jun-hong DONG,Si-si WEI. Improvement of protective ability for existing low⁃grade concrete guardrail [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1362-1374.
[4]	Hong-fei JIA,Zi-han SHAO,Li-li YANG. Ride⁃sharing matching model and algorithm of online car⁃hailing under condition of uncertain destination [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 564-571.
[5]	Xing-hua LI,Fei-yu FENG,Cheng CHENG,Wei WANG,Peng-cheng TANG. Choice preference analysis and modeling of ridesplitting service [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 578-584.
[6]	Tian-jun FENG,Xue-lu SUN,Jia-sheng HUANG,Xiu-juan TIAN,Xian-min SONG. Two-phase signal intersection delay based on three crossing modes [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 550-556.
[7]	Xian-tong LI,Wei QUAN,Hua WANG,Peng-cheng SUN,Peng-jin AN,Yong-xing MAN. Route travel time prediction on deep learning model through spatiotemporal features [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(3): 557-563.
[8]	Yi-ran WANG,Jing-xu CHEN,Yue-ping WANG,Jin-biao HUO,Zhi-yuan LIU. Instant demand⁃responsive scheme for customized bus considering service fairness [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(11): 2574-2581.
[9]	Yan-feng JIA,Da-yi QU,Lu LIN,Rong-han YAO,Xiao-long MA. Coordinated speed control of connected mixed traffic flow based on trajectory [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2051-2060.
[10]	Chang-fu ZONG,Long WEN,Lei HE. Object detection based on Euclidean clustering algorithm with 3D laser scanner [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 107-113.
[11]	Liang JIANG,Yi HE. Risky driving behavior and influencing factors analysis for electric two⁃wheeler [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1107-1113.
[12]	Xiao⁃qin LUO,Dian⁃hai WANG,Sheng JIN. Traffic signal actuated control at isolated intersections for heterogeneous traffic [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(3): 695-704.
[13]	Zhi⁃hui LI,Tao ZHONG,Yong⁃hua ZHAO,Yong⁃li HU,Hai⁃tao LI,Jing⁃wei ZHAO. Pedestrian tracking algorithm for autonomous driving [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(3): 680-687.
[14]	QU Da-yi,YANG Jing-ru,BING Qi-chun,WANG Wu-lin,ZHOU Jing-chun. Arterial traffic offset optimization based on queue characteristics at adjacent intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1685-1693.
[15]	LI Zhi-hui, HU Yong-li, ZHAO Yong-hua, MA Jia-lei, LI Hai-tao, ZHONG Tao, YANG Shao-hui. Locating moving pedestrian from running vehicle [J]. 吉林大学学报(工学版), 2018, 48(3): 694-703.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

一级	二级	指标内涵
运输能力	送货准点率	准时送货次数与总送货次数的比值
	提货准点率	准时提货次数与总送货次数的比值
	中转协调性	定性指标，主要通过中转时间和次数确定
	货物完好率	完好货物量与总货物量的比值
	联运协调性	定性指标，主要通过联运中转时间判定
	单位货运周转碳排放量	年碳排放量与货物周转量的比值
服务能力	客户满意度	定性指标，通过问卷回访结果确定
	客户有效投诉率	有效投诉订单数量与总订单数量的比值
	客户投诉处理率	已处理完毕投诉订单数量与总投诉订单数量比值
信息处理能力	订单处理速度	单位时间内对客户的需求信息及时处理的次数
信息处理能力	信息反馈准确率	收到的由运输信息设备反馈的物流信息与实际运输信息一致的数量与总反馈物流信息比率
应急能力	突发事故处理能力	定性指标，主要根据处理突发事件响应速度、处理过程和结果满意度等衡量
应急能力	矛盾冲突协调能力	定性指标，主要根据快速、有效、公正的处理相关矛盾的能力来衡量
财务能力	市场占有率	企业产品（或服务）的销售量（或销售额）在市场同类产品（或服务）中所占比重
	业务收入年增长率	本年度主营业务收入较上一年度主营业务收入的增长幅度
	单位服务利润率	物流运输公司每提供单位运输服务所赚取的利润与单位运输成本的比值
	资产负债率	总负债与总资产的比值
	资产收益率	净利润与平均资产总额的比值

评价指标	企业名称
评价指标	A1	B1	C1	D1	E1	G1
送货准点率	0.836	0.789	0.887	0.924	0.803	0.847
提货准点率	0.974	0.969	0.770	0.881	0.903	0.760
中转协调性	6.000	8.000	7.000	10.000	8.000	6.000
货物完好率	0.885	0.916	0.943	0.981	0.952	0.881
联运协调性	7.000	8.000	7.000	9.000	5.000	5.000
单位货运周转碳排放量/g	26.530	23.203	23.046	23.058	18.261	26.828
客户满意度	0.820	0.766	0.700	0.936	0.956	0.796
客户有效投诉率	0.809	0.953	0.758	0.849	0.959	0.768
客户投诉处理率	0.910	0.868	0.898	0.710	0.744	0.759
订单处理速度	3.000	8.000	9.000	7.000	6.000	4.000
信息反馈准确率	0.953	0.919	0.807	0.846	0.815	0.810
突发事故处理能力	5.000	9.000	7.000	10.000	8.000	5.000
矛盾冲突协调能力	9.000	9.000	4.000	7.000	10.000	5.000
市场占有率	0.202	0.127	0.039	0.133	0.247	0.252
业务收入年增长率	0.196	0.309	0.137	0.270	0.365	0.277
单位服务利润率	0.197	0.114	0.367	0.284	0.304	0.266
资产负债率	0.582	0.573	0.537	0.418	0.547	0.524
资产收益率	0.288	0.126	0.207	0.234	0.282	0.158

指标	N1		N2		N3		N4
指标	下限	上限	下限	上限	下限	上限	下限	上限
送货准点率	0	0.8	0.8	0.9	0.9	0.95	0.95	1
提货准点率	0	0.8	0.8	0.9	0.9	0.95	0.95	1
中转协调性	0	3	3	5	5	7	7	10
货物完好率	0	0.9	0.9	0.95	0.95	0.97	0.97	1
联运协调性	0	4	4	6	6	8	8	10
单位货运周转碳排放量/g	28	32	24	28	20	24	16	20
客户满意度	0.7	0.8	0.8	0.9	0.9	0.95	0.95	1
客户有效投诉率	0.7	0.8	0.8	0.9	0.9	0.95	0.95	1
客户投诉处理率	0.7	0.8	0.8	0.9	0.9	0.95	0.95	1
订单处理速度	0	3	3	5	5	7	7	10
信息反馈准确率	0	0.85	0.85	0.9	0.9	0.95	0.95	1
突发事故处理能力	0	6	6	8	8	9	9	10
矛盾冲突协调能力	0	6	6	8	8	9	9	10
市场占有率	0	0.05	0.05	0.2	0.2	0.5	0.5	1
业务收入年增长率	0	0.15	0.15	0.3	0.3	0.5	0.5	1
单位服务利润率	0	0.15	0.15	0.3	0.3	0.5	0.5	1
资产负债率	0.7	1	0.5	0.7	0.3	0.5	0	0.3
资产收益率	0	0.2	0.2	0.35	0.35	0.6	0.6	1

指标	权重W	指标	权重W
送货准点率	0.0984	订单处理速度	0.0414
提货准点率	0.1113	信息反馈准确率	0.1028
中转协调性	0.0414	突发事故处理能力	0.0334
货物完好率	0.1310	矛盾冲突协调能力	0.0614
联运协调性	0.0265	市场占有率	0.0321
单位货运周转碳排放量	0.0144	业务收入年增长率	0.0038
客户满意度	0.0929	单位服务利润率	0.0057
客户有效投诉率	0.1050	资产负债率	0.0042
客户投诉处理率	0.0934	资产收益率	0.0010

权重和投入		影响因素				合计
权重和投入		运力投入	服务水平	应急处理	风险分担	合计
权重		0.52	0.36	0.09	0.03	1
投入	B1	13.73	7.5	10.26	4.02	10.88
	E1	27.32	15.88	28.74	44.72	23.85
	F2	26.05	23.59	23.93	15.37	24.65
	J2	13.63	23.71	27.62	11.38	18.45
	M2	25.06	13.71	10.37	21.75	19.55
	T2	17.73	27.03	11.73	17.37	20.53
	A3	54.24	38.16	23.58	53.24	45.66

League member selection and benefit distribution of commercial vehicles multi⁃modal transportation

RICH HTML

PDF (PC)