9d606pom module 2 (2)

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    Amity School of Business

    FUNDAMENTALS OF PRODUCTIONAND OPERATION MANAGEMENT

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    Amity School of Business

    Module II: Forecasting Techniques

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    Amity School of BusinessForecasting

    The art and science of predicting future events.Forecasts are estimates of timing and magnitudeof the occurrence of future events.

    Forecasting is used as a planning tool. Anorganization uses forecasting as a starting pointto the annual business planning exercise.

    A good forecasting system will be able to predictthe occurrence of short term fluctuations indemand.

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    Amity School of Business

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    Amity School of BusinessForecasting Approaches

    Quantitative forecasts - Forecasts that

    employ one or more mathematical models

    that rely on historical data and/or causal

    variables to forecast demand.

    Qualitative forecastsForecasts that

    incorporate such factors as the decision

    makers intuition , emotions , personalexperiences.

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    Amity School of BusinessQualitative Forecasting Methods

    Educated Guess Consensus

    Delphi Method

    Historical Analogy Market Research

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    Amity School of BusinessEducated Guess

    An estimate, a guess value based on

    experience or theoretical knowledge.

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    Amity School of BusinessConsensus

    Consensus decision-makingis a group decision making process that

    seeks the consent of all participants.

    It as an acceptable resolution, one that can be supported, even if not the

    "favourite" of each individual.

    It has its origin in the Latinword cnsnsus(agreement), which is

    from cnsentimeaning literally feel together.

    It is used to describe both the decision and the process of reaching a

    decision.

    Consensus decision-making is thus concerned with the process of

    deliberating and finalizing a decision.

    http://en.wikipedia.org/wiki/Latinhttp://en.wikipedia.org/wiki/Latin
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    Amity School of BusinessDelphi Method

    A forecasting technique using a group

    process that allows experts to make

    forecasts.

    Experts give their opinion and a moderator

    moderates the discussion till a consensus

    is reached.

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    Amity School of BusinessHistorical Analogy

    Forecasts made on previous years data,

    experience, judgement and intuition.

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    Amity School of BusinessQuantitative Forecasting

    Moving Average

    Weighted Moving Average

    Exponential Smoothing Linear Regression

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    Amity School of BusinessMoving Average

    A forecasting method that uses an

    average of the n most recent periods of

    data to forecast the next period.

    This method tends to smooth out short-

    term irregularities in the data series.

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    Amity School of Business

    1. Donnas Garden supply wants a 3-month

    movingaverage forecast , including a

    forecast for next January, for shed sales

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    Amity School of Business

    Month Actual Shed Sales

    Jan 10

    Feb 12

    Mar 13

    Apr 16

    May 19

    Jun 23

    July 26

    Aug 30

    Sep 28

    Oct 18

    Nov 16

    Dec 14

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    Amity School of BusinessWeighted Moving Average

    When a detectable trend or pattern is

    present, weights can be used to place

    more emphasis on recent values.

    This practice makes forecasting

    techniques more responsive to changes

    because most recent periods may be more

    heavily weighted.

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    Amity School of Business

    2. Donnas Garden supply wants to forecast

    storage shed sales by weighting the past

    3 months, with more weight given to most

    recent data to make them more significant.

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    Amity School of BusinessMonth Actual Shed Sales

    Jan 10

    Feb 12

    Mar 13

    Apr 16

    May 19

    Jun 23

    July 26

    Aug 30

    Sep 28

    Oct 18

    Nov 16

    Dec 14

    Weights

    Applied

    Period

    3 Last Month

    2 Two Months

    Ago

    1 Three MonthsAgo

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    Amity School of BusinessMeasuring Forecast Error

    The forecast error tells us how well the

    model performed against itself using past

    data.

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    Amity School of BusinessMean Absolute Deviation

    A measure of the overall forecast error for

    a model

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    Amity School of BusinessMean Squared Error

    The average of the squared differences

    between the forecasted and observed

    values.

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    Amity School of BusinessPractice Problem

    A manufacturing company hasmonthly demand for one of itsproducts as follows:

    Develop a 3-month moving

    average forecast and a threemonth weighted movingaverage forecast with weightsof 0.50, 0.30 and 0.20 for themost recent demand values in

    that order. Calculate MAD , MSE for each

    forecast.

    Month Demand

    Feb 260

    Mar 245

    Apr 275

    May 290

    Jun 300

    July 210

    Aug 255

    Sep 305

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    Amity School of BusinessExponential Smoothing

    A weighted moving average forecasting

    technique in which data points are

    weighted by an exponential function.

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    Amity School of Business

    1. A firm has experienced the

    following demand.

    Develop an exponential

    smoothing forecast using =0.40

    Period Units

    1 100

    2 200

    3 300

    4 400

    5 500

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    Amity School of BusinessPractice Problem

    A firm has experienced the

    following demand

    Develop an exponential

    smoothing forecast using =

    0.30

    Period Units

    1 28

    2 31

    3 28

    4 35

    5 33

    6 32

    7 36

    8 38

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    Amity School of Business

    Regression analysis is a forecasting

    technique that establishes a relationship between

    variables.

    One variable is known, which is used to

    forecast the value of an unknown variable.

    Regression Analysis

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    Amity School of BusinessFactors to be Considered in the

    Selection of Forecasting Method

    the nature of the business

    the nature of data

    forecast granularity forecast horizon

    shelf life of the model and

    the expected accuracy of the forecasts.

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    Amity School of Business

    Forecast granularityis the unit of time of eachforecast.

    Forecast horizonis the number of time units

    into the future for which forecasts are required. For example, weekly forecasts for the next 2months have a granularity of a week and ahorizon of 8 weeks.

    Shelf life is the time after which a modelbecomes useless and there is a need to switchto another model.

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    Amity School of Business

    Long-RangeCapacity Planning

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    Amity School of BusinessDefinitions of Capacity

    In general, production capacity is the maximum

    production rate of an organization.

    Capacity can be difficult to quantify due to

    Day-to-day uncertainties such as employeeabsences, equipment breakdowns, and material-

    delivery delays

    Products and services differ in production rates (so

    product mix is a factor) Different interpretations of maximum capacity

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    Amity School of BusinessDefinitions of Capacity

    The Federal Reserve Board definessustainable practical capacity as thegreatest level of output that a plant can

    maintain within the framework of a realistic work

    schedule

    taking account of normal downtime

    assuming sufficient availability of inputs tooperate the machinery and equipment inplace

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    Amity School of BusinessDefinition of Production Capacity

    Volume of products that can be generated

    by a production plant or enterprise in a

    given period by using current resources.

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    Amity School of BusinessSteps in the Capacity Planning

    Process

    Estimate the capacity of the present

    facilities.

    Forecast the long-range future capacity

    needs.

    Identify and analyze sources of capacity to

    meet these needs.

    Select from among the alternative sources

    of capacity.