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DEMAND FORCASTING

Chapter 5

Prepared by Cynthia Wisner, MBA

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Learning Objectives

You should be able to:

Explain the role of demand forecasting in a supply chain

Identify the components of a forecast

Compare & contrast qualitative & quantitative forecasting techniques

Calculate and Assess the accuracy of forecasts

Explain collaborative planning, forecasting, & replenishment

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Chapter Outline

Introduction

The Importance of Demand Forecasting

Forecasting Techniques

Forecast Accuracy

Collaborative Planning, Forecasting, & Replenishment (CPFR)

Useful Forecasting Websites

Forecasting Software

Cloud-Based Forecasting

Summary

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Introduction

Organizations moving to a more effective demand-driven supply chain

Suppliers must find ways to better match supply & demand

Improved forecasts benefit all trading partners in the supply chain & mitigates supply-demand mismatch problems.

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

The Importance of Demand Forecasting

A forecast is an estimate of future demand & provides the basis for planning decisions

The goal is to minimize deviation between actual demand and forecast

The factors that influence demand must be considered when forecasting

Buyers and sellers should share all relevant information to generate a single consensus forecast

Good forecasting provides reduced inventories, costs, & stockouts, & improved production plans & customer service

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques

Qualitative forecasting - based on opinion & intuition

Quantitative forecasting - uses mathematical models & historical data to make forecasts

Time series models - most frequently used among all the forecasting models

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Qualitative Forecasting Methods

Used when data are limited, unavailable, or not currently relevant

Forecast depends on skill & experience of forecaste & available information

Four qualitative models used are –

Jury of executive opinion

Delphi method

Sales force composite

Consumer survey

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Jury of executive opinion

Group of senior management executives collectively develop the forecast

Good for long-range planning and new product introductions

Delphi method

Internal and external experts are surveyed during several rounds

summary of responses is sent out to all the experts & they can modify their responses in next round

Good for high-risk technology forecasting; large, expensive projects; or major new product introductions

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Sales force composite

Based on sales force’s knowledge of the market & estimates of customer needs

Tendency for sales force to under-forecast

Consumer survey

Questionnaire uses inputs from customers on future purchasing needs, new product ideas, & opinions about existing or new products

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Quantitative Methods

Time series forecasting – assumes the future is an extension of the past

Historical data is used to predict future demand

Cause & Effect forecasting – assumes one or more factors (independent variables) predict future demand

All quantitative methods become less accurate as forecast’s time horizon increases

For long-time horizon forecasts, use a combination of quantitative & qualitative techniques

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Components of Time Series

Data should be plotted to detect for the following components –

Trend variations: increasing or decreasing over many years

Cyclical variations: wavelike movements that are longer than a year (e.g., business cycle)

Seasonal variations: show peaks & valleys that repeat over consistent interval (ie. hours, days, weeks, months, seasons, or years)

Random variations: due to unexpected or unpredictable events such as natural disasters

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Time Series Forecasting Models

Naïve Forecast – the estimate of the next period is equal to the demand in the past period.

Ft+1 = At

Where Ft+1 = forecast for period t+1

At = actual demand for period t

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Time Series Forecasting Models

Simple Moving Average Forecast – uses historical data to generate a forecast. Works well when demand is stable over time.

Where Ft+1 = forecast for period t+1

At = actual demand for period t

n = number of periods to calculate moving average

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Simple Moving Average

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Time Series Forecasting Models

Weighted Moving Average Forecast – based on an n-period weighted moving average

Where Ft+1 = forecast for period t+1

Ai = actual demand for period i

n = number of periods to calculate moving average

wi = weight assigned to period i (Σwi = 1)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Weighted Moving Average

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Time Series Forecasting Models

Exponential Smoothing Forecast – type of weighted moving average - only two data points are needed

Ft+1 = Ft+(At - Ft) or Ft+1 = At + (1 – ) Ft

Where Ft+1 = forecast for Period t + 1

Ft = forecast for Period t

At = actual demand for Period t

 = smoothing constant (0 ≤  ≤1)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Exponential Smoothing

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Time Series Forecasting Models

Linear Trend Forecast – trend can be estimated using simple linear regression to fit a line to a time series

Ŷ = b0 + b1x

Where Ŷ = forecast or dependent variable

x = time variable

b0 = intercept of the line

b1 = slope of the line

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Linear Regression

(Fig. 5.4)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Cause & Effect Models

One or several external variables are identified & related to demand

Simple regression – Only one explanatory variable is used & is similar to the previous linear trend model.

x variable is no longer time but an explanatory variable

Ŷ = b0 + b1x

Where Ŷ = forecast or dependent variable

x = explanatory or independent variable

b0 = intercept of the line

b1 = slope of the line

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecasting Techniques (Continued)

Cause & Effect Models

Multiple regression – several explanatory variables are used to predict the dependent variable

Ŷ = b0 + b1x1 + b2x2 + . . . Bkxk

Where

Ŷ = forecast or dependent variable

xk = kth explanatory or independent variable

b0 = intercept of the line

bk = regression coefficient of the independent variable xk

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy

Forecast error - the difference between actual quantity & the forecast

Forecast error, et = At - Ft

Where et = forecast error for Period t

At = actual demand for Period t

Ft = forecast for Period t

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy (Continued)

Mean absolute deviation (MAD)- MAD of 0 indicates the forecast exactly predicted demand

Where et = forecast error for period t

At = actual demand for period t

n = number of periods of evaluation

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy (Continued)

Mean absolute percentage error (MAPE) – provides a perspective of the true magnitude of the forecast error

Where et = forecast error for period t

At = actual demand for period t

n = number of periods of evaluation

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy (Continued)

Mean squared error (MSE) – analogous to variance, large forecast errors are heavily penalized

Where et = forecast error for period t

n = number of periods of evaluation

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy (Continued)

Running Sum of Forecast Errors (RSFE) – indicates bias in the forecasts or the tendency of a forecast to be consistently higher or lower than actual demand.

Running Sum of Forecast Errors, RSFE =

Where et = forecast error for period t

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy (Continued)

Tracking signal determines if forecast is within acceptable control limits

If tracking signal falls outside pre-set control limits

there is bias problem with the forecasting method

evaluation of forecast generation is warranted

Tracking Signal =

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Forecast Accuracy (Continued)

Biased forecast will lead to excessive inventories or stockouts

Key to accurate forecasts is collaboration with different partners inside outside the firm working together to eliminate forecasting error

Collaboration can lead to significant improvements in forecasting accuracy

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Collaborative Planning, Forecasting, & Replenishment (CPFR)

What is CPFR?

It is a business practice that combines the intelligence of multiple trading partners in the planning & fulfillment of customer demands.

It links sales & marketing best practices, such as category management, to supply chain planning processes to increase availability while reducing inventory, transportation & logistics costs.

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Real value of CPFR comes from sharing of forecasts among firms

Eliminates shifting of inventories among trading partners that suboptimizes the supply chain

Provides the supply chain with a plethora of benefits but requires a fundamental change in the way that buyers & sellers work together.

Collaborative Planning, Forecasting, & Replenishment (Continued)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

CPFR Benefits

Strengthens partner relationships

Provides analysis of sales & order forecasts

Uses point-of-sale data, seasonal activity, promotions, to improve forecast accuracy

Manages demand chain & eliminates problems before they appear

Allows collaboration on future requirements & plans

Collaborative Planning, Forecasting, & Replenishment (Continued)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

CPFR Benefits (continued)

Uses joint planning & promotions management

Integrates planning, forecasting and logistics activities

Provides efficient category management & understanding of consumer purchasing patterns

Collaborative Planning, Forecasting, & Replenishment (Continued)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

CPFR Benefits (continued)

Provides analysis of key performance metrics to:

reduce supply chain inefficiencies

improve customer service

increase revenues and profitability

Collaborative Planning, Forecasting, & Replenishment (Continued)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Top three challenges for CPFR implementation

Difficulty of making internal changes

Cost

Trust

Collaborative Planning, Forecasting, & Replenishment (Continued)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Useful Forecasting Websites

Institute for Business Forecasting & Planning

https://ibf.org/

International Institute of Forecasters

www.forecasters.org

Forecasting Principles

www.forecastingprinciples.com

Several forecasting blogs:

Business Forecasting (www.businessforcastingblog.com)

No Hesitations: A Blog by Francis Diebold (http://fxdiebold.blogspot.com.au)

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Software Solutions

Forecasting Software simplifies the calculation processes and saves a great deal of time

Business Forecast Systems - www.forecastpro.com

John Galt - www.johngalt.com

Just Enough - www.justenough.com

Avercast, LLC - www.avercast.com

SAS - www.sas.com/en_us/home.html

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

Cloud-Based Forecasting

Cloud-based forecasting - supplier-hosted or software-as-a-service (SaaS) advanced forecasting applications

Provided on a subscription basis

Benefits include:

Increase data storage & data analysis capabilities

New capabilities without extensive training

Reduction in IT costs

Improvement in forecast accuracy

Reduction in stockout & inventory carrying costs

Improvement in employee productivity

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© 2019 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website or school-approved learning management system for classroom use.

Principles of Supply Chain Management (5e)

End of Chapter 5

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Principles of Supply Chain Management (5e)

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