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Analyzing Competitive Strategies in Factoryless Manufacturing Using Agent-Based Simulation | ||
| Industrial Management Journal | ||
| دوره 17، شماره 4، 2025، صفحه 140-159 اصل مقاله (875.67 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2025.395152.1008246 | ||
| نویسندگان | ||
| Seyed Mohammad Ali Khatami Firouzabad1؛ Mohsen Morsali* 2؛ Fariba Salahi3 | ||
| 1Prof., Department of Management and Information Technology, Faculty of Management, Islamic Azad University, South Tehran Branch, Tehran, Iran. | ||
| 2PhD Candidate in Industrial Management, Department of Management, Faculty of Management, Islamic Azad University, Science and Research University Branch, Tehran, Iran. | ||
| 3Assistant Prof., Department of Industrial Management, Islamic Azad University, South Tehran Branch, Tehran, Iran. | ||
| چکیده | ||
| Objective: 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. Methodology: 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. Results: 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. Conclusion: 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. | ||
| کلیدواژهها | ||
| Agent-Based-simulation؛ decision-making optimization؛ factoryless production؛ strategic competition؛ supply chain management | ||
| مراجع | ||
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