Scenario Modeling in Demand-Constrained Semiconductor Supply Chains
Year: 2025
Type: article
Abstract: Semiconductor supply chains operate within highly complex, globally distributed networks that are often constrained by volatile demand, limited capacity, and technological dependencies. Scenario modeling serves as a critical decision-support tool for navigating these uncertainties, enabling stakeholders to simulate and evaluate alternative strategies across various constraints. This review paper examines a comprehensive range of modeling approaches including capacity planning simulations, inventory optimization frameworks, behavioral modeling, and technoeconomic assessments, all applied within demand-constrained semiconductor environments. Drawing on ten significant academic sources, the paper emphasizes how scenario-based analysis aids in enhancing responsiveness, resilience, and strategic alignment in supply networks. Particular attention is paid to allocation strategies, imperfect quality impacts, sense-and-respond systems, and discrete-event simulation. Through the integration of financial, operational, and behavioral variables, scenario modeling emerges as an essential framework for managing uncertainty and improving supply chain performance in the semiconductor industry.
Author: Mohan, Achyutha
Institution: Clemson University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7087280650
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