The Role of AI-Driven Decision Support Systems in Enhancing U.S. Manufacturing Logistics
Keywords:
Decision Support Systems, Manufacturing LogisticsAbstract
The introduction sets the stage for exploring the role of AI-driven decision support systems in U.S. manufacturing logistics. It highlights the significance of AI technology in optimizing production processes and improving supply chain management, ultimately enhancing the efficiency and competitiveness of the manufacturing industry [1]. As AI continues to evolve, its potential economic impact is significant, with predictions indicating a potential increase in global GDP by 14% by 2030. Moreover, AI has the potential to transform industrial processes, including automation of manufacturing tasks, resource allocation, and even customer service and hiring processes [2].
The introduction provides a foundation for understanding the applications and benefits of AI-driven decision support systems in manufacturing logistics, emphasizing the potential for AI to enhance various aspects of the manufacturing industry, from production to customer service and business decisions.
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