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 a Super Early Bird Price of $1195 $895

Combo Package Available

  1. 2 day DP + 1 Day SAP IBP & SCM $1795  $1495  – Details
  2. 2 day DP + CADP  $1695 $1195   – Details

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

In this specialized two-day course, we will explain the modeling methodology and process behind accurate demand forecasts and how to effectively use promotional information to arrive at a consensus forecast. The focus will be on demand modeling using statistical techniques, the methodology to perform model diagnostics, forecast accuracy measurement and the process to incorporate market intelligence.

If you are a new demand planner looking to enhance your knowledge of business forecasting, you cannot afford to miss this opportunity!

 
Get skills you can use at work

We will explain and demonstrate best practices in model selection, illustrate how to improve model quality, and teach you how to leverage forecast measurement process.

 
Learn from industry experience

We will bring practical examples from our consulting experience in Sales Forecasting and Business Forecasting

 
Network with peers

You will have the opportunity to meet, interact, and learn from other demand planning professionals with team challenges and networking exercises.

 
Add to your credentials - This is a pre-requisite for our Certification

Upon completion, you will be awarded a certificate of completion from Demand Planning LLC, attesting to your newly-acquired skills in Demand Planning and Forecasting.  

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
  • 11:15 AM Coffee Break
  • 11:30 am Inventory Management and Demand-driven planning
    – Review of online modules
    • Strategic Uses of Inventory
      •Buffering •Hedging •Decoupling •Production Smoothing •Pricing
    • Inventory Categories
      •Direct materials •Indirect Materials •MRO •Spares
    • Inventory Management Strategies
      •Engineer to Order •Make to Order •Make to Stock •Postponement •Mass customization
  • 1:00 PM Lunch Break
  • 2:00 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
  • 3:30pm Coffee break
  • 3:45 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

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!

Consulting

Diagnostic |  DP Design |  Exception Management |  S&OP |  Solutions

Training

Demand Planning |  S&OP |  Retail Forecasting |  Supply Chain Analysis:  » Value Chain Metrics  » Inventory Optimization |  Supply Chain Collaboration

Industry

CPG/FMCG |  Food and Beverage |  Retail |  Pharma |  High Tech |  Other

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