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Course Outline

Overview of Sales and Operations Planning

  • Definition and scope of Sales and Operations Planning (S&OP)
  • Primary advantages and implementation challenges associated with S&OP
  • The S&OP operational cycle and its integration with supply chain management

Demand Forecasting Methodologies

  • Statistical forecasting approaches, including moving averages and exponential smoothing
  • Application of machine learning and artificial intelligence in demand prediction
  • Addressing seasonality, trend analysis, and demand variability

Data Analytics for S&OP

  • Identification of data sources and demand signal evaluation
  • Utilization of Excel and Power BI for demand planning activities
  • Development of data-driven forecasting models

Enhancing Forecast Accuracy

  • Detection of forecast errors and systemic bias
  • Methodologies to increase forecast precision
  • Best practices for cross-functional alignment

Inventory and Supply Planning

  • Balancing inventory levels against demand fluctuations
  • Optimization of replenishment strategies
  • Management of perishable versus non-perishable inventory for government operations

Cross-Functional Collaboration

  • Coordination among sales, operations, and finance teams within the S&OP framework
  • Establishing consensus in forecasting and planning processes
  • Communication protocols for effective S&OP meetings

Technology and Tools for S&OP

  • Review of contemporary S&OP software solutions
  • Deployment of digital dashboards to support real-time decision-making for government entities
  • Case studies illustrating successful S&OP implementation

Continuous Improvement in S&OP

  • Monitoring and refining the S&OP process
  • Measurement of key performance indicators (KPIs)
  • Strategies for achieving 95% forecast accuracy

Summary and Next Steps

Requirements

  • Knowledge of supply chain management principles for government
  • Practical experience with demand planning and forecasting techniques
  • Fundamental proficiency in Excel or other supply chain analytics tools

Audience

  • Demand planners
  • Supply chain professionals
  • Operations managers
 14 Hours

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