Narrow Results

The aim of this paper is to discuss the accidental events’ impacts on the complicated supply chain systems and reveal the dynamic nonlinear system’s role in enterprises’ logistics financial management. First, the logistics distribution network and nonlinear system are analyzed and introduced, revealing the complexity of enterprises’ supply chain systems. Second, considering the situation of enterprises’ financial management, four major entities, the supplier, the distributor, the retailer, and the manufacturer, are introduced to construct a dynamic nonlinear model for the supply chain system. Finally, the model before and after accidental events are simulated and analyzed using the AnyLogic software. Results demonstrate that in normal states, each node’s inventory in the system changes periodically, while the distributor’s state is the most stable. A notable decrease in market demand has the largest impact on the distributor. Once the market demand is recovered, the decrease in the distributor’s inventory is the most apparent, and the inventories of the supplier, the retailer, and the manufacturer also decrease. The supplier has the highest cost at the beginning of system operation, and the distributor’s cost is the highest after the operation becomes stable. Once an accidental event caused a sharp decrease in market demand, the costs of all major entities in the system show an increasing trend. Once the market demand is recovered, the costs of different node entities will increase instead. As for the profits, the distributor has the highest profit initially, which is significantly influenced by the accidental events. The results provide a reference for revealing the changing laws of complicated supply chain systems and promoting the development of enterprises’ financial management.

To improve the integrity of the supply chain and get the optimal joint scheduling of the complete supply chain, in this exploration, first, the supply chain related theory is elaborated. Then, the dynamic model of product recovery in enterprise joint scheduling is established. Finally, based on the differential game theory (based on the continuity of nonlinear differential equation function) and Hamilton function, the optimal scheduling strategies with manufacturer and retailer as the main recycling body in the complete supply chain are calculated respectively. The results show that the product recovery rate with manufacturer as the main recycling body is higher than that with retailer as the main recycling body. There is no transfer price in the recovery based on the manufacturer. However, in the recovery based on the retailer, if the transfer price increases, the product recovery rate of the system will also increase; if the transfer price increases, the manufacturer’s instant profit will appropriately increase; if the transfer price value is high $(v=1.5)$, the manufacturer’s instant profit is higher. If the transfer payment is low $(v=1)$, the instant profit of manufacturer with manufacturer as the main recycling body will be first lower and then higher than that with retailer as the main recycling body. When the system is stable, the instant profit with the manufacturer as the main recycling body is higher than that with retailer as the main recycling body; the total profit of the manufacturer with the retailer as the recycling body is first lower and then higher than that with the manufacturer as the main recycling body. Whether the transfer payment is high or low, the retailer’s profit level is higher when the manufacturer is the main recycling body. When the retailer is the main recycling body, the retailer’s profit level is inversely proportional to the transfer payment. Finally, in the centralized supply chain environment, enterprises can maximize their total profits and promote the good development.

In today’s sophisticated global marketplace, supply chains are complex nonlinear systems in the presence of different types of uncertainties, including supply-demand and delivery uncertainties. Though up to now, some features of these systems are studied, there are still many aspects of these systems which need more attention. This necessitates more research studies on these systems. Hence, in this study, we propose a variable-order fractional supply chain network. The dynamic of the system is investigated using the Lyapunov exponent and bifurcation diagram. It is demonstrated that a minor change in the system’s fractional-derivative may dramatically affect its behavior. Then, distributed consensus tracking of the multi-agent network is studied. To this end, a control technique based on the sliding concept and Chebyshev neural network estimator is offered. The system’s stability is demonstrated using the Lyapunov stability theorem and Barbalat’s lemma. Finally, through numerical results, the proposed controller’s excellent performance for distributed consensus tracking of multi-agent supply chain network is demonstrated.

Developed countries, led by the United States and the European Union, have stepped up security review of supply chains and adopted a series of restrictive policies and protectionist measures to reshape a more secure, sustainable, and risk-controllable supply chain. A key objective of the West’s supply chain strategy is to wean their economies off Chinese influence by resorting to discriminatory policies. Supply chain interventionism on national security grounds violates market rules on which the global supply chain is based, and also runs counter to the principles of nondiscrimination and liberalization embedded in the multilateral trade governance architecture. Global supply chain reshuffles will take time and incur huge costs, leaving ample room for Beijing to make necessary adjustments and bolster its position in global supply networks.

This paper analyzes the dynamics of supply chain diversification in a contested East Asia and their implications for India–South Korea cooperation in the post-COVID-19 era. Major powers have sought to restructure supply chain by designing a strategy to reduce their reliance on China-controlled supply chain. The United States–China trade and technological war, Asian regional powers’ escalating conflicts with a rising China, and pandemic-induced supply chain disruptions have played key roles in driving the restructuring process. India and South Korea, Asia’s two major economies, have also re-evaluated their supply chain strategies. As this paper explains, on the one hand, India has been striving to emerge as a supply chain hub for key industries by ending China’s control. On the other hand, South Korea has also been aiming to diversify its supply chain beyond China under the New Southern Policy. Against that backdrop, critical developments concerning supply chain cooperation have occurred between the two countries amid the COVID-19 crisis. The pandemic has not only facilitated the opening of high-level political exchanges on supply chain but also brought tangible outcomes, as Korean companies have become active participants in India’s quest to build an India-centric supply chain. I conclude this study by contending that the two countries are “natural partners” in reshaping the supply chain dynamics in East Asia in the post-COVID-19 era.