考虑风险分摊的云制造服务供需关系韧性评估和提升方法研究

doi:10.16381/j.cnki.issn1003-207x.2024.0848

Abstract

Abstract:

The improvement of supply-demand relationship resilience is crucial to enhancing the resilience of industrial and supply chains. Therefore， the platform advantages of cloud manufacturing are utilized to study the quantitative methods for improving the resilience of supply-demand relationships. First， based on whether the supply and demand parties purchase demand forecasting services from the cloud platform， the cloud manufacturing service transaction model is divided into three modes： independent risk-bearing mode， one-party cooperation with the cloud platform mode， and tripartite cooperation mode. The optimal pricing strategies for both the supply and demand sides under these three transaction modes are then calculated using a Stackelberg game. Second， the profits and loss rates of the supply and demand sides under market disturbances are used as evaluation indicators of the resilience of the supply-demand relationship， and the entropy weight method is employed to quantify the resilience level. A method is proposed to improve the resilience of the supply-demand relationship by combining quantity flexibility contracts and cost-sharing contracts to address disturbance risks in the tripartite cooperation mode. Numerical simulations are conducted to illustrate the impact of market demand changes on the optimal pricing and profits of both parties， analyze the rationality of cost-sharing contracts under different disturbance scenarios， and compare the resilience levels across different cooperation modes. The results show that enterprises cooperating with the cloud platform have an information advantage and achieve higher profits， but cooperation only between the supplier and the cloud platform may lead to supply-demand mismatches. The tripartite cooperation model， which incorporates contracts， effectively shares disturbance risks within the cooperative alliance and enhances the resilience of the supply-demand relationship more efficiently than fixed-ratio cost-sharing methods. The enhanced resilience is robust to random market demand. A method is provided for cloud platforms to evaluate and improve the resilience of supply-demand relationships， effectively maintaining the supply-demand balance in uncertain environments and offering a new approach to enhancing the resilience of industrial and supply chains.

Key words: cloud manufacturing, resilience assessment, resilience enhancement, contract coordination, cost allocation

CLC Number:

F424

Jianpeng Mao,Jianfeng Lu,Jialin Song, et al. Research on the Assessment and Enhancement Methods for the Resilience of Supply and Demand Relationships in Cloud Manufacturing Services Considering Risk Sharing[J]. Chinese Journal of Management Science, 2026, 34(1): 315-326.

Figures/Tables 12

符号	参数
$C s / C d$	供应方制造成本/需求方销售成本
$g s / g d$	供应方/需求方缺货因子
$v d$	需求方滞销商品残值
$P s / P d$	供应方定价/需求方定价
$D$	市场需求函数
$B$	市场基础规模
$α$	市场需求对产品价格的敏感度
$β$	市场规模系数
$ε$	市场随机需求
$n d$	需求方订单量

$C s$	$C d$	$g s$	$g d$	$v d$	$α$	$B$	$λ$	$η$
7	3	3	5	6	-5	1000	0.2	0.01

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扰动情形分类	具体表现
灾难性事件	突发且不可抗的因素
需求侧事件	需求波动、紧急订单等
供给侧事件	供应能力不足、产品召回等
物流-运输事件	运输网络中断等

Research on the Assessment and Enhancement Methods for the Resilience of Supply and Demand Relationships in Cloud Manufacturing Services Considering Risk Sharing

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