demandplanning-planningprocess

[demandplanning-planningprocess]

Demand Planning -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

Higher-order Models

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Demand Planning - Advanced smoothing models

First Order Exponential Smoothing

Holt Models to accommodate the trend

Holt-Winters Model

Exponential Trend and Dampening

Interaction between components

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Demand Planning -

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

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Demand Planning -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

The process to Identify Outliers

Tolerance band

Methodology for outlier correction

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Demand Planning - Planning Process

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

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