Supply Chain Planning, Modelling and Analytics




Supply Chain Planning, Modelling and Analytics

The Supply Chain Planning, Modelling, and Analytics course is designed to equip learners with the essential knowledge, skills, and attitudes necessary for effective management of supply chain operations using advanced analytical tools. This course emphasizes the exploration of fundamental supply chain concepts, encourages critical thinking, fosters adaptability to technological advancements, and promotes a proactive approach to optimizing supply chain performance.

 

COURSE OBJECTIVES

This course aims to provide learners with a foundational understanding of key concepts relevant to supply chain planning, modelling, and analytics. It encourages participants to critically examine their supply chain practices, explore various analytical methodologies, and cultivate a mindset conducive to ongoing improvement and innovation. Key areas of focus include demand forecasting, inventory management, supply chain optimization, and data analytics.

 

COURSE OUTLINE

The Supply Chain Planning, Modelling, and Analytics course covers the following essential areas:

  • Demand Forecasting and Management
  • Inventory Optimization Models
  • Supply Chain Network Design
  • Transportation and Logistics Analytics
  • Sustainability in Supply Chain Planning
  • Technology in Supply Chain: IoT and AI Applications

 

STUDENT ACQUISITIONS

Upon successful completion of the course, students will:

  • Gain insight into advanced techniques for demand forecasting and management.
  • Develop skills in using optimization models for effective inventory management.
  • Enhance understanding of designing robust supply chain networks.
  • Cultivate knowledge of applying analytics in transportation and logistics.
  • Apply principles of sustainability to supply chain planning processes.
  • Explore the impact of emerging technologies like IoT and AI on supply chain efficiency.

 

LEARNING METHODOLOGIES

The Supply Chain Planning, Modelling, and Analytics course employs a variety of effective learning methodologies, including:

  • Engaging with foundational concepts: Promoting understanding and retention of key supply chain planning principles.
  • Active exploration and reflection: Encouraging critical examination of current supply chain strategies and personal learning experiences.
  • Practical application: Facilitating practical application of analytical tools through real-world scenarios and case studies.
  • Critical evaluation of supply chain models: Promoting strategic thinking through analysis and assessment of different supply chain models.
  • Fostering innovation and creativity: Developing problem-solving skills through interactive exercises focusing on innovation in supply chain management.
  • Adapting to technological changes: Building adaptability through research projects on new and emerging technologies affecting supply chains.
  • Enhancing communication abilities: Improving technical communication skills for effective expression and sharing of complex supply chain data.

 

This comprehensive course empowers professionals and students to effectively manage and optimize supply chains using advanced planning, modelling, and analytics techniques, ensuring enhanced performance and strategic competitiveness in a rapidly evolving business environment.





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