Univrsity of Tehran Press Industrial Management Journal 3115-7386 17 4 2025 10 01 Analyzing Competitive Strategies in Factoryless Manufacturing Using Agent-Based Simulation 140 159 104565 10.22059/imj.2025.395152.1008246 EN Seyed Mohammad Ali Khatami Firouzabad Prof., Department of Management and Information Technology, Faculty of Management, Islamic Azad University, South Tehran Branch, Tehran, Iran. Mohsen Morsali PhD Candidate in Industrial Management, Department of Management, Faculty of Management, Islamic Azad University, Science and Research University Branch, Tehran, Iran. Fariba Salahi Assistant Prof., Department of Industrial Management, Islamic Azad University, South Tehran Branch, Tehran, Iran. Journal Article 2025 05 20 <strong>Objective</strong>: This study addresses the fabless manufacturing business model's increasing relevance and complexity of decision-making. The primary aim is to develop and evaluate a simulation model for analyzing competitive strategies and optimizing managerial decisions in fabless supply chains.  <strong>Methodology:</strong> An agent-based simulation approach was employed to model interactions between fabless companies and manufacturing factories. The decision-making process for manufacturing partners was based on three key criteria: quality, cost, and availability. The simulation was implemented using AnyLogic software and analyzed under competitive and non-competitive market scenarios. Validation was conducted using real-world data to ensure model accuracy and applicability. <strong>Results</strong>: The study reveals that the weighting of criteria—quality, cost, and availability—significantly affects company performance in fabless manufacturing supply chains. Companies prioritizing quality tend to gain long-term advantages, while those focusing on cost may achieve short-term profits but struggle with sustainability. Competition complicates the balance of these criteria, leading to increased system-wide costs. These findings emphasize the need for nuanced strategies in dynamic markets. <strong>Conclusion</strong>: The developed simulation model offers a robust quantitative framework for analyzing and optimizing decision-making in fabless manufacturing supply chains. It is a valuable decision-support tool for managers, enabling them to adopt optimal strategies that reduce costs, enhance product quality, and improve customer satisfaction in dynamic and competitive market conditions. https://imj.ut.ac.ir/article_104565_17f31f1b2dfbac6d6ce90c1b8b95844c.pdf