Optimal coordination strategy of dynamic supply chain based on cooperative stochastic differential game model under uncertain conditions

2017 ◽  
Vol 56 ◽  
pp. 669-683 ◽  
Author(s):  
Fan Liu ◽  
Wen-Lei Chen ◽  
De-Bin Fang
Keyword(s):  
Supply Chain ◽  
Differential Game ◽  
Game Model ◽  
Stochastic Differential Game ◽  
Coordination Strategy ◽  
Optimal Coordination

scholarly journals Differential Game Analysis of the Green Innovation Cooperation in Supply Chain under the Background of Dual-Driving

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Guiju Zhu ◽  
Jialing Li ◽  
Yi Zhang ◽  
Haiyun Liu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Differential Game ◽  
Dynamic Equilibrium ◽  
Dynamic Change ◽  
Game Model ◽  
Green Innovation ◽  
Profit Distribution ◽  
Innovation Cooperation ◽  
The Government

Taking government environmental regulation and consumer’s green preference into a unified analytical framework, this study constructed a differential game model. With the joint effect of supplier and manufacturer green innovation efforts on the dynamic change of the product’s green level, it compared and analyzed the long-term dynamic equilibrium strategies of green innovation cooperation in a supply chain under decentralized and centralized decision-making situations. Accordingly, a scientific and reasonable profit-distribution contract was then proposed. On this basis, it further carried out a numerical simulation analysis on the dual-driving effects of the government and market. The results showed that the scientific and reasonable profit-distribution contract under the centralized decision-making situation, which was designed by using the Rubinstein bargaining game model, could effectively ensure that the supply chain members’ sharing profits would realize "Dual Pareto Improvements." With the increase of the environmental regulation’s intensity, the product’s green level kept rising and tended to be stable. However, the overall equilibrium profit of the supply chain was characterized by "U" fluctuation, which first descended and then ascended. In addition, the product’s green level, the green innovation investment and equilibrium (distributed) profits of supply chain members, and the overall profits of supply chain all increased with the consumers’ green preference.

scholarly journals Differential game model and Coordination model for green supply chain based on green technology research and development

Heliyon ◽  
2021 ◽  
pp. e07811
Author(s):  
A.K.M. Mohsin ◽  
Sayed Far Abid Hossain ◽  
Hasanuzzaman Tushar ◽  
Mohammed Masum Iqbal ◽  
Alamgir Hossain
Keyword(s):  
Supply Chain ◽  
Research And Development ◽  
Differential Game ◽  
Green Technology ◽  
Green Supply Chain ◽  
Game Model ◽  
Technology Research ◽  
Coordination Model

Study on Returns Policy Contract Mechanism in Biomass Supply Chain under Risk Preference

2011 ◽  
Vol 361-363 ◽  
pp. 1950-1953
Author(s):  
Tao Lin ◽  
Yong Zhang ◽  
Jia Qing Fan
Keyword(s):  
Supply Chain ◽  
Raw Materials ◽  
Risk Preference ◽  
Biomass Energy ◽  
Energy Industry ◽  
Coordination Strategy ◽  
Returns Policy ◽  
Optimum Order ◽  
Optimal Coordination ◽  
Major Consideration

With the increasing development of biomass energy industry in both the world and China, it is significant to research on the contract design about biomass energy raw materials. In this paper, a two-stage supply chain under the returns policy contract mechanism is established firstly. It concerns the rife model of “base + famers” in China, which is based on economics and game theory. Secondly, the optimum order quantity of the leading part, base, is taken into major consideration so as to achieve the coordination of the supply chain, under the condition of different risk preference. Finally, a numerical analysis is provided to help conclude an optimal coordination strategy and ensure the effectiveness of the strategy.

scholarly journals Stochastic Differential Game-Based Malware Propagation in Edge Computing-Based IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Li Miao ◽  
Shuai Li
Keyword(s):  
Differential Game ◽  
Infinite Horizon ◽  
Optimal Strategies ◽  
Edge Computing ◽  
Game Model ◽  
Stochastic Differential Game ◽  
Equilibrium Solutions ◽  
Stochastic Fluctuations ◽  
Malware Propagation ◽  
Nash Equilibrium Solutions

Internet of Things (IoT) has played an important role in our daily life since its emergence. The applications of IoT cover from the traditional devices to intelligent equipment. With the great potential of IoT, there comes various kinds of security problems. In this paper, we study the malware propagation under the dynamic interaction between the attackers and defenders in edge computing-based IoT and propose an infinite-horizon stochastic differential game model to discuss the optimal strategies for the attackers and defenders. Considering the effect of stochastic fluctuations in the edge network on the malware propagation, we construct the Itô stochastic differential equations to describe the propagation of the malware in edge computing-based IoT. Subsequently, we analyze the feedback Nash equilibrium solutions for our proposed game model, which can be considered as the optimal strategies for the defenders and attackers. Finally, numerical simulations show the effectiveness of our proposed game model.

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