网络货运平台背景下考虑物流服务努力的供应链定价策略研究

doi:10.16381/j.cnki.issn1003-207x.2022.1048

Abstract

Abstract:

With the rapid development of the online freight platforms， they provide two transport modes as a new solution for manufacturers’ logistics outsourcing， namely “Uploading the Source of Goods” and “Finding Trucks to Transport Goods”. During the transportation of goods， a higher logistics service effort level can reduce waste of resource and improve transport efficiency. Considering logistics service effort， a tripartite game model of manufacturer， online freight platform， and retailer is described to study their decisions and pricing strategies. By solving the model， equilibrium outcomes are characterized， including effort level， prices， profits， consumer surplus， and social welfare. Meanwhile compareing the equilibrium outcomes under several cases to investigate the impact of the logistic service effort. Moreover comparing the cases with and without logistic service effort， it is found that when considering the logistics service effort， the goods’ selling price， wholesale price， and transportation price will decrease， in which case consumer surplus and social welfare will increase. The findings also indicate that making logistics service effort cannot always improve the profits of the participants. The sharing ratio of logistics service effort cost has an important impact on the mode choice of the online freight platform and the manufacturer. It is found that in the mode “Uploading the Source of Goods”， the online freight platform is more beneficial when it pays a smaller proportion of the cost of logistics service effort； while in the mode “Finding Trucks to Transport Goods”， the manufacturer is more beneficial when it pays a smaller proportion of the cost of logistics service effort. The interval of cost-sharing proportion for the win-win situation between the manufacturer and the online freight platform is shown under different transport modes. Furthermore， the existence of the logistics service effort tends to benefit the retailer all the time， and it is more likely to increase the online freight platform’s profit than the manufacturer’s profit.

Key words: online freight platform, logistics service effort level, supply chain pricing

CLC Number:

F274

Xiaolong Guo, Tingting Tang, Zenghui Su. Pricing Strategies Considering Logistics Service Efforts on the Online Freight Platform[J]. Chinese Journal of Management Science, 2025, 33(3): 277-286.

Figures/Tables 9

参数符号	含义
$a$	潜在市场需求
$b$	市场需求对售价的敏感性
$c$	制造商获得货物的成本， $c > 0$
$h$	制造商承担的损耗补偿成本比例， $0 < h < 1$
$k$	默认物流服务水平下的运输损耗率， $0 < k < 1$
$m$	制造商承担的物流服务成本比例， $0 < m < 1$
$s$	货物现货市场价格， $s > c$
$λ$	物流服务成本参数

决策变量与函数符号	含义
$e$	物流服务努力， $e ∈ (0,1)$ ，上传货源模式中由制造商决策，找车拉货模式中由网络货运平台决策
$g$	网络货运平台决策的运输价
$p$	零售商决策的售价
$w$	制造商决策的批发价
$C (e)$	物流服务成本函数， $C e = 0.5 λ e 2$
$L (e)$	损耗补偿成本函数， $L e = s (1 - e) k D$

$k$	模型	$e *$	$g *$	$w *$	$p *$	$π s *$	$π t *$	$π r *$
0.1	$b$	—	$4.81$	$7.775$	$8.888$	$2.475$	$4.951$	$1.238$
	1	$0.067$	$4.806$	$7.765$	$8.882$	$2.487$	$4.962$	$1.249$
	2	$0.045$	$4.807$	$7.768$	$8.884$	$2.485$	$4.966$	$1.245$
0.3	$b$	—	$4.93$	$8.075$	$9.038$	$1.853$	$3.706$	$0.926$
	1	$0.181$	$4.898$	$7.994$	$8.997$	$1.931$	$3.781$	$1.006$
	2	$0.119$	$4.909$	$8.022$	$9.011$	$1.922$	$3.808$	$0.979$
0.5	$b$	—	$5.05$	$8.375$	$9.188$	$1.32$	$2.641$	$0.660$
	1	$0.275$	$4.968$	$8.169$	$9.085$	$1.488$	$2.787$	$0.838$
	2	$0.176$	$4.997$	$8.243$	$9.122$	$1.466$	$2.855$	$0.772$

$k$	模型	$e *$	$g *$	$w *$	$p *$	$π s *$	$π t *$	$π r *$
0.1	$b$	—	$4.81$	$7.775$	$8.888$	$2.475$	$4.951$	$1.238$
	1	$0.030$	$4.808$	$7.770$	$8.885$	$2.480$	$4.967$	$1.243$
	2	$0.075$	$4.806$	$7.764$	$8.882$	$2.470$	$4.976$	$1.245$
0.3	$b$	—	$4.93$	$8.075$	$9.038$	$1.853$	$3.706$	$0.926$
	1	$0.080$	$4.916$	$8.039$	$9.019$	$1.888$	$3.817$	$0.961$
	2	$0.202$	$4.894$	$7.984$	$8.992$	$1.808$	$3.880$	$1.016$
0.5	$b$	—	$5.05$	$8.375$	$9.188$	$1.320$	$2.641$	$0.660$
	1	$0.117$	$5.015$	$8.287$	$9.144$	$1.391$	$2.872$	$0.733$
	2	$0.310$	$4.957$	$8.143$	$9.071$	$1.198$	$3.018$	$0.862$

$m$	模型	$e *$	$g *$	$w *$	$p *$	$π s *$	$π t *$	$π r *$
0.15	1	$0.403$	$4.893$	$7.983$	$8.991$	$1.790$	$2.685$	$1.017$
0.15	2	$0.131$	$4.959$	$8.147$	$9.073$	$1.692$	$3.290$	$0.859$
0.3	1	$0.189$	$4.945$	$8.112$	$9.056$	$1.676$	$3.316$	$0.891$
0.3	2	$0.160$	$4.952$	$8.129$	$9.064$	$1.674$	$3.321$	$0.875$
0.45	1	$0.123$	$4.960$	$8.151$	$9.076$	$1.641$	$3.335$	$0.855$
0.45	2	$0.207$	$4.940$	$8.101$	$9.050$	$1.611$	$3.371$	$0.902$
0.6	1	$0.091$	$4.968$	$8.170$	$9.085$	$1.624$	$3.315$	$0.837$
0.6	2	$0.293$	$4.920$	$8.049$	$9.025$	$1.389$	$3.462$	$0.951$
0.75	1	$0.073$	$4.973$	$8.181$	$9.091$	$1.614$	$3.294$	$0.827$
0.75	2	$0.498$	$4.871$	$7.926$	$8.963$	$0.292$	$3.681$	$1.075$

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Pricing Strategies Considering Logistics Service Efforts on the Online Freight Platform

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