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    FUJI FILM INTRODUCES APS

    - A CASE STUDY

    Subject: Quantitative Techniques IFaculty: Prof. U.K.BhattacharyaPresenters: Group C, Section C

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    Agenda

    Case Overview

    Question 1 / 2 / 3:Factual AnalysisSolutionConclusion

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    Case Overview

    Fuji Film Advanced Photo System

    Launch of 24 mm system in February 1996

    Problems in market launch

    Market Positioning and Customer Promotion

    1998: 20% of APS market share

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    Question 1: Factual Analysis

    Facts2003: 40% expected market share

    Sample Selection of 30 customers

    QuestionsExpected APS customersProbability x 6 Given x 6, comment on market share

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    Question 1: Solution

    Expected no. of APS Customer:

    No. of customers in the sample: n = 30Market share of APS: 40%Probability of a customer being an APS

    customer: p = 0.4

    => Expected no. of APS customers in sample:n*p = 30*0.4 = 12 Customers

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    Question 1: Plotx Probability(x)0 0.00001 0.00002 0.00003 0.0003

    4 0.00125 0.00416 0.01157 0.02638 0.05059 0.0823

    10 0.115211 0.1396

    12 0.147413 0.136014 0.110115 0.078316 0.048917 0.026918 0.012919 0.0054

    20 0.002021 0.000622 0.000223 0.000024 0.000025 0.000026 0.000027 0.0000

    28 0.000029 0.0000

    Binomial Distribution: n=30, p=0.4

    0.0000

    0.0200

    0.0400

    0.0600

    0.0800

    0.1000

    0.1200

    0.1400

    0.1600

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

    x value

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    Question 1: Solution

    Probability X 6:

    P(X 6)=P(x=0)+ P(x=1)+ P(x=2)+ P(x=3)+P(x=4)+ P(x=5)+ P(x=6)

    => Probability of 6 or fewer customerspurchasing an APS camera

    P(X 6) = 0.0172

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    Question 1: Solution

    Given x 6, comment on market share:

    Calculated Probability: P(X 6)=0.0172

    This probability is not enough evidence to prove that theAPS market share is not 40%.

    Reason: The probability value computed is based on only asingle instance of data sampling from the population.Hence it cannot be generalized using the concept of long-run average.

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    Question 1: Conclusion

    Expected no. of APS customers in sample:n*p = 30*0.4 = 12 Customers

    Probability of 6 or fewer purchase of an APScamera P(X 6) = 0.0172

    Given x 6, we cannot conclude that the

    market share of APS camera is not 40%

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    Question 2: Factual Analysis

    FactsCustomers complain on late shipment Customercomplaint at 2.4 complaints/100,000 rolls.

    One batch of 100,000 yields 7 complaints

    Questions

    Has the average rate of complaints increased?Produce the Poisson distributionInterpret the results

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    Question 2: Plot

    Poisson Distribution : Lambada = 2.4

    0.0000

    0.0500

    0.1000

    0.1500

    0.2000

    0.2500

    0.3000

    1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17x value

    x Probability(x)0 0.09071 0.2177

    2 0.26133 0.20904 0.12545 0.06025 0.06026 0.0241

    7 0.00838 0.00259 0.0007

    10 0.000211 0.000012 0.0000

    13 0.000014 0.000015 0.000016 0.000017 0.0000

    P (x) = (e - . x ) / x!

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    Question 2: Solution

    Has the average rate of complaint increased?

    For x = 7, P(x) as per Poisson Distribution is 0.0083

    Since the probability is very low, we cannot concludethat average rate of complaints has increased. Theoccurred event is a random occurrence.

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    Question 3: Factual Analysis

    Facts52 products launchedObjective 1: Revenue growth - 34 productsObjective 2: Creation of Market / Customersatisfaction - 18 products10 successful products: 7 meet objective 2 while 3meet objective 1Premise (given): Objective 1 products have ahigher chance of failure than objective 2 products

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    Question 3: Problem

    Questions

    Probability of the given result occurring by chance

    Comment on the premise regarding theimportance of the main objective

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    Question 3:Solution

    Objective 1 Objective252 34 18

    Success: 10 3 7

    Failure: 42 31 11

    According to Hypergeometric DistributionProbabilities,

    P(x) =ACx . N-ACn-x / NCn

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    Question 3:Solution contd..

    P(x) =ACx . N-ACn-x / NCn

    Here,N = 52 , n = 34, A = 10, x = 3

    P(x=3) = 0.01203

    So the probability of this event occurring bychance is 0.01203

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    Question 3: Conclusion

    The premise: Products aimed for revenuegrowth are more likely to fail than productsaimed to create a new market or customersatisfaction.The event:

    ONLY 3 out of 34 products aimed for revenuegrowth succeed.AS MANY AS 7 out of 18 products aimed forcreating new market or achieving customersatisfaction succeed.

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    Question 3: Conclusion contd..

    The event is in alignment with the premisegiven in the problem

    But the probability of the event is VERYLOW !Therefore, we cannot conclude that thepremise is true.Thus we cannot say that the average numberof complaints per batch has increased.