Development of a Multi-Tier Collaborative Optimization Model for Semiconductor Supply Chain Management

With the continuous advancement of global information technology, the semiconductor industry has become a cornerstone of the world economy. The complexity and high interdependence of the semiconductor supply chain make its management and optimization a challenging task, particularly in achieving collaborative decision-making across different tiers of suppliers. Traditional research in supply chain management has largely focused on optimizing single-tier suppliers or partial segments of the supply chain, lacking a comprehensive analysis and optimization of multi-tier supplier collaboration. To address this challenge, this study proposes an optimization model based on a three-tier management and collaborative decision-making framework within the semiconductor supply chain. The model captures the intricate collaborative relationships among upstream raw material suppliers, midstream manufacturers, and downstream distributors, aiming to enhance the overall efficiency and responsiveness of the supply chain through coordinated multi-tier decision-making. Existing studies on semiconductor supply chains predominantly emphasize static or localized optimization, often neglecting the dynamic nature of supply chains and lacking systematic research on information sharing and coordination mechanisms. Moreover, these approaches frequently suffer from excessive simplification, inadequate adaptability to dynamic changes, and poor real-world applicability. To overcome these limitations, this paper develops and solves a collaborative optimization model covering three key supply chain tiers and introduces a dynamic framework for adjusting decisions across all tiers of suppliers. The results demonstrate that the proposed model significantly improves overall supply chain coordination, reduces the impact of uncertainties, and enhances both economic performance and market competitiveness.