Certified Supply Chain Planner

Course Overview:

It is not unusual that organizations sometime face a shortfall or a surplus in the produce. Avoiding such situations require systematic planning to balance the demand and supply. This course is designed for professionals to specialize in supply chain management. A supply chain planner will be able to analyze the demand patterns and demand data, and create different techniques of forecasting, choose, and implement the most appropriate technique for projecting the demands of the future.

Who Can Enroll:

  • Managers experienced in concepts such as ERP, MRP, and SAP.
  • Leaders with strong analytical, communicating, negotiating, and presenting skills.
  • Managers with competency in handling bulk data.
  • Any professional with a sound ability to take quick financial decisions and judgements.

Learning Outcome:

  • Participants will learn to construct forecasting techniques and apply them to predict the future demand.
  • Participants will be facing real time data to analyze and recommend the forecasting techniques based on the different scenarios.

Course Features:

  • Comprehensive practical training to enforce theoretical principles.
  • Limited Registrations, effective presentations.
  • Course cost cover training sessions, comprehensive notes set.
  • Guidelines and Support material is provided to all participants.
  • Certificate of training completion.
  • Support from subject matter experts.
  • Material and Hand-outs with Soft Copy included.

Why Choose Chools?

Access to:

• Top 100,000 Ebooks.
• 250,000 Management slides and presentations.
• 1 million excel templates.
• 60,000 business documents.

• 15,000 top books in abstract forms.
• 40,000 audio podcast.
• 550 audio library books.
• 50,000 video libraries.

• 1500 training courses.
• 2.6 million Journals and articles.
• 137 Lean Six Sigma toolkit.
• Leadership assessments.
• Quiz, Exam prep, Q&As, Case-studies.

Course Outline:

  • Introduction to basic forecasting techniques like naive method and cumulative mean.
  • Introduction to advanced forecasting techniques- Moving average and Exponential smoothing.
  • Constructing forecasting techniques and choosing the most relevant and suitable technique and implementing the same.
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