This course is designed for supply chain professionals who want to develop a deep understanding of supply chain dynamics and the ability to use simulation tools to optimize supply chain performance. The course covers topics such as simulation modeling, analysis, and optimization of supply chain operations. Students will learn how to build and analyze supply […]
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This course is designed to provide students with an understanding of supply chain planning and its applications in supply chain management. Students will learn how to develop, implement, and manage supply chain planning strategies, including demand planning, inventory planning, production planning, and distribution planning. The course will cover key concepts and methods in supply chain
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The course is designed to equip students with the necessary skills and knowledge to identify, analyze, and manage supply chain risks through data analytics techniques. The course will cover key concepts and methods in risk analysis, data management, statistical modeling, and visualization. Students will learn how to use these tools to evaluate the impact of
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This course is designed to provide students with a comprehensive understanding of supply chain cost optimization, including various techniques to reduce supply chain costs while maintaining or improving operational efficiency. Students will learn how to use various tools and methodologies to analyze and optimize supply chain costs, such as supply chain modeling, network optimization, inventory
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This course is designed to provide students with an in-depth understanding of supply chain optimization and its applications in supply chain management. Students will learn how to develop, implement, and manage advanced optimization strategies, including network optimization, inventory optimization, transportation optimization, and production optimization. The course will cover key concepts and methods in supply chain
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This course is designed for supply chain professionals who want to develop a deep understanding of machine learning and its application in supply chain management. The course covers topics such as data pre-processing, feature engineering, supervised and unsupervised learning, deep learning, and their application in supply chain forecasting, demand planning, inventory optimization, transportation optimization, and
Machine Learning in Supply Chain Read More »
