Demand Planning.Net: Are you Planning By Exception?
Demand Planning.Net
demand planning, forecasting, and exception management

Demand Planning for S&OP Workshop - Boston - MA

Presented by Mark Chockalingam, Ph. D., Managing Principal

Boston, MA
Date: Oct 9 - 10 , 2019;

Location: : Hilton Boston-Burlington


View and print seminar brochure (PDF)

Register Now at an Early Bird Price of $1195 $995

Combo Package Available

  1. 2 day DP + 1 Day SAP IBP & SCM $1795  $1595  – Details
  2. 2 day DP + CADP  $1695 $1295   – Details

Contact for Registrations & Enquiry at (781)-995-0685 / Contact US

In this specialized two-day course, we will discuss a variety of modern trends in Demand Planning and Supply chain forecasting – Machine Learning, AI-driven planning and Big Data analytics. The focus will be on demand modeling with AI-driven planning engines and statistical models, and the process to incorporate market intelligence. We will help you prepare for the role of a winning Data Scientist and a seasoned planning processional. And the two day workshop is the foundation for our Certified Analyst in Demand Planning – CADP program.

 

This workshop earns a Certificate and eligibility to sit for the CADP certification.

 

Detailed Outline of the Workshop:

Day 1

8:30AM to 5:00PM

Day 2

9:00AM to 5:30PM

  • 8:30 AM Registration & Breakfast
  • 9:00 AM Welcome
  • 9:30 AM Demand Planning Overview
    • Planning objectives
    • The Service – Cost – Balance Model
    • Define your Plan
    • Budgeting vs. Forecasting vs. Planning
    • Beyond Statistical Forecasting
    • Key Components of a Demand Plan
    • Terminology in Planning – Forecast Horizon, Buckets & Periodicity
    • Forecast Pass
    • Demand Management
  • 10:30 AM Coffee Break
  • 10:45 AM Data Integration and Cleansing
    • It is all about the data
    • The Forecast Problem and Data collection
    • Define True Demand
    • Data challenges
       - Shipment Vs. Orders
       - Gross Demand Vs. Net Demand
    • Historical shifts in demand
    • Data filtering
    • Outliers– Identification and Correction
    • Process to Identify Outliers
    • Tolerance band
    • Methodology for outlier correction
  • 1:00 PM Lunch Break
  • 2:00 PM Stat Modeling and AI-driven Planning
    • Demand Modeling
    • Key components of demand
    • Additive Vs. Multiplicative Seasonality in Models
    • Modeling by decomposition
    • Introduction to Forecast Modeling
    • Qualities of a good statistical forecast
    • Balancing between Model Fit Vs. Model Robustness
    • Uni-Variate Time Series vs. Multi-Variate methods
    • Moving Average
    • AI driven Planning and Expert Models
    • Introduction to Planvida
  • 3:30 PM Coffee Break
  • 3:45 PM Advanced smoothing models
    • First Order Exponential Smoothing
    • Holt Models to accommodate trend
    • Holt Winters Model
    • Exponential Trend and Dampening
    • Interaction between components
    • Higher order Models
  • 5:00 PM Assignment of Forecasting exercises to participants
  • 9:00 AM Modeling special cases of Demand
    • Product Life Cycle & Long-term Planning
      • Product Lifecycle and trend • Launch Forecasting • Volume effect on line extension
    • Event Modeling
      • Baseline vs. Incremental • Illustration of Event Models
    • Planning for Intermittent Demand
      • What is Intermittent Demand & what causes it? • Strategies to handle intermittent demand • Statistical Models for Intermittent Demand
  • 11:30 PM Product Portfolio Management
    • Impact of Data Volatility on Forecasting
    • Measuring Volatility
    • Impact of multiple Extreme Observations on Volatility
    • SKU Segmentation for demand modeling & inventory strategies
    • Modeling by exception
  • 1:00 PM Lunch Break
  • 2:00 PM Demand Planning Analytics toolkit
    • Definition of Demand Forecast Errors
      • Forecast Accuracy
      • Forecast Bias vs. Forecast Error
      • Error and Volatility Reduction
      • Errors across SKUs vs. Errors across time
      • Model Diagnostics vs Performance
         - MAD
         - MAPE vs. MPE
         - WAPE
         - Root Mean Squared Error
    • Measuring forecast performance
      • Forecast Performance Metric
      • Forecast errors and actionablity
      • Sources of Forecast Error
      • Definition of Demand Planning Metrics - WAPE & Bias
      • Types of Bias
      • SKU Mix Error
      • Error Analysis for Continuous Improvement
      • Forecast Accuracy Reporting
    • 3:30pm Coffee break
  • 3:45 PM Why S&OP
    • Fragmented Planning Activities
    • – Supply chain challenges – Service, costs and inventories
    • Disparities between the Financial forecast and operational forecasts
    • Bottom Line challenges from Fragmented Planning
    • Benefits of a holistic S&OP Design
    • Core Components of SIOP
    • Consensus Demand Planning
    • Rough Cut Planning and Supply Collaboration
    • Executive Presentation
    • Demand-Supply Balancing
    • Modeling by exception

Pricing

An additional 10% discount applies to group registrations of three or more using one payment method.

Please note that we reserve the right to deny admission/attendance based on competitiveness.

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Demand Planning, LLC is based in Boston, MA , USA| Phone: (781) 995-0685 | Email us!

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Knowledge Base

Planning:  » Budgeting » S&OP |  Metrics: » Demand Metrics » Inventory  » Customer Service |  Collaboration:  » VMI & CMI » Account Based Forecasting
Forecasting:  » Causal Modeling  » Market Modeling  » Ship to Share |  For Students