CS计算机代考程序代写 Week-1 Introduction to Forecasting

Week-1 Introduction to Forecasting

Some of the slides are adapted from the lecture notes provided by Prof. Antoine Saure and Prof. Rob Hyndman

Business Forecasting Analytics
ADM 4307 – Fall 2021

Introduction to Forecasting

Ahmet Kandakoglu, PhD

13 September, 2021

Outline

• What is forecasting?

• What can we forecast?

• Why do we forecast?

• How do we forecast?

• Features common to all forecasts

• Elements of a good forecast

• Forecasting process

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What is forecasting?

• It is about predicting the future as accurately as possible, given all of the

information available, including historical data and knowledge of any future

events that might impact the forecasts

• It is the process of making predictions of the future based on past and present

data.
I see that you will get a 90 in

Forecasting Analytics this semester.

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Forecasting is Difficult

• Forecasting is a difficult activity, and businesses that do it well have a big

advantage over those whose forecasts fail.

• Good forecasts capture the genuine patterns and relationships which exist in

the historical data, but do not replicate past events that will not occur again.

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Some Famous Predictions

Examples of bad predictions:

• I think there is a world market for maybe five computers (Chairman of IBM, 1943)

• Computers in the future may weight no more than 1.5 tons (Popular Mechanics, 1949)

• There is no reason anyone would want a computer in their home (President of DEC, 1977)

• This telephone has too many shortcomings to be seriously considered as a means of

communication (Western Union internal memo, 1876)

• The wireless music box has no imaginable commercial value. Who would pay for a message

sent to nobody in particular? (David Sarnoff’s associates in the 1920s)

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Forecasting Answers…

• How big a facility do I need to manufacture a new videophone?

• How much money do I need to run operations of my accounting office?

• How many pairs of white shoes should I order for the summer season in my

store?

• How many operators should I schedule next month for my call center?

• How much lettuce should I buy for next week in my restaurant?

• How many minutes will my flight be delayed tomorrow?

• …

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What can we forecast?

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Which is easiest to forecast?

• Daily electricity demand in 3 days time

• Timing of next Halley’s comet appearance

• Time of sunrise this day next year

• Google stock price tomorrow

• Google stock price in 6 months time

• Maximum temperature tomorrow

• Exchange rate of CAD/EURO next week

• Total sales of drugs in pharmacies next month

• How do we measure “easiest”?

• What makes something easy/difficult to forecast?

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Factors Affecting Forecastability

• Something is easier to forecast if:

• we have a good understanding of the factors that contribute to it

• there is lots of data available

• the forecasts cannot affect the thing we are trying to forecast

• there is relatively low natural/unexplainable random variation

• the future is somewhat similar to the past

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Why do we forecast?

• Typically there is a time lag between awareness of an impending event or

need and the occurrence of that event:

• If this lead time is very small, there is no need for planning

• If this lead time is long, and the outcome of the final event is conditional on identifiable

factors, planning can perform an important role

• Forecasting is needed to determine when an event will occur or a need arise

so that appropriate actions can be taken, it is important for effective and

efficient planning.

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Importance of Forecasting

• Forecasting is an integral part of the decision making activities of management

• Since each area of an organization is related to all others, a good or bad

forecast can affect the entire organization

• Some of the typical areas in which forecasting plays an important role are:

• Scheduling (short-term)

• Acquiring resources (medium-term)

• Determining resource requirements (long-term)

• Need for multiple approaches to predicting uncertain events and a system for

forecasting

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3 Uses for Forecasts

Design the System

• Long term
(annual)

• (Types of products
& services to offer,
capacities,
equipment,
location)

Use of the System

• Medium term
(monthly)

• (Inventory,
workforce levels,
planning
production)

Schedule the
System

• Short term
(daily, weekly)

• (Production,
purchasing, staff
scheduling)

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Forecasting Function

• Organizations must possess knowledge and skills covering at least the

following areas:

• Identification and definition of forecasting problems

• Application of a range of forecasting methods

• Procedures for selecting the appropriate methods for a specific situation

• Organizational support for applying and using formalized forecasting methods

• A forecasting system must establish linkages among forecasts made by

different management areas since there is a strong interdependence among

areas in an organization

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How do we forecast?

• Forecasting methods can be very simple such as using the most recent

observation as a forecast or highly complex.

• How would you approach the following forecasting situations?

• You are working for Best Buy Canada and your first assignment is to determine the

number of units of the latest iPhone model to order for Christmas sales

• You are working for Safeway Canada and your first assignment is to determine the

number of units of bread to order for next week’s sales

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Approaches to Forecasting

• Judgmental

• Non-quantitative analysis of subjective inputs

• Considers “soft” information such as human factors, experience, gut instinct

• Quantitative: analyze “hard” data

• Time series models

• Extends historical patterns of numerical data

• Associative models

• Create equations with explanatory variables to predict the future

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The Statistical Forecasting Perspective

Sample futures

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The Statistical Forecasting Perspective

Forecast intervals

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Features Common to All Forecasts

• Assumes causal system

past ==> future

• Forecasts rarely perfect because of randomness

• Forecasts more accurate for

groups vs. individuals

• Forecast accuracy decreases

as time horizon increases

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Elements of a Good Forecast

Accurate
and in
writing

Reliable

Meaningful

Cost-effective

Useful time
horizon

Simple to
understand &

use

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Forecasting Process

1. Determine
purpose of

forecast

2. Establish a
time horizon

3. Gather and
analyze relevant
historical data

4. Select a
forecasting
technique

5. Prepare the
forecast

6. Monitor the
forecast

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Business Forecasting Analytics
ADM 4307 – Fall 2021

Introduction to Forecasting

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Analytics Maturity Model

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Predictive Analytics Job Trend

Job postings citing Predictive Analytics as a proportion of all IT jobs advertised.

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https://www.itjobswatch.co.uk/jobs/uk/predictive%20analytics.do