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May 9, 2026Journal of Applied Analysis & Computation0 citationsOpen Access

Stability and Bifurcation of a Neutral-Type Delay Differential Game System in Green Supply Chains: A Global Sensitivity Analysis

HSHongyan SunSTShuhuan TianJCJianzhi Cao

Key Points

  • This research aims to analyze the stability and coordination mechanisms within a dual-channel green supply chain using a delay differential game model.
  • Utilized a neutral delay differential game model for analysis.
  • Employed eigenvalue methods and Sobol global sensitivity analysis.
  • Conducted numerical simulations to assess stability and coordination outcomes.
  • Centralized decision-making led to higher green technology levels and total supply chain profits.
  • The transfer payment mechanism resulted in Pareto improvements in specific parameter ranges.
  • The discount rate and consumer green sensitivity significantly impacted system stability.

Abstract

This paper investigates a two-echelon dual-channel green supply chain via a neutral delay differential game model, focusing on supply chain coordination and system stability analysis. We compare equilibrium outcomes under centralized and decentralized decision-making, propose a transfer payment mechanism for coordination, and explore stability properties using eigenvalue methods, Sobol global sensitivity analysis, and numerical simulations. Results show that centralized decision-making outperforms decentralized decision-making in green technology level and total supply chain profit, while the transfer payment mechanism achieves Pareto improvements within a specific parameter range. Stability analysis identifies the discount rate, consumer green sensitivity, and price weight coefficient as dominant stability determinants: The price weight coefficient acts as a critical stability switch inducing Hopf bifurcation, and the discount rate extended to the real number domain directly determines equilibrium stability type. Simulations visualize stability regions and oscillation behaviors, while global sensitivity analysis quantifies parameter influences, confirming the discount rate and consumer green sensitivity as the most impactful factors. Numerical simulations further verify the theoretical findings and establish a clear link between parameter sensitivity and system stability.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/69fed021b9154b0b828771e9https://doi.org/10.11948/20250326
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