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  • 8/8/2019 Msom China

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    Analysis

    Conclusionsand OngoingResearch

    Optimal Pricing and Production Planning forSubscription-Based Products

    W. T. Huh S. Kachani A. Sadighian

    Department of Industrial Engineering and Operations Research,Columbia University, New York

    MSOM Annual Meeting - Beijing, ChinaJune 18-19, 2007

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    Analysis

    Conclusionsand OngoingResearch

    Outline

    1 Introduction

    MotivationLiterature Review

    2 The ModelDynamics of the model

    DP Representation3 Results

    One Stage RepresentationMonopolyDuopoly

    4 Multi-Channel Pricing5 Computational Analysis

    Symmetric FirmsAsymmetric Firms

    6

    Conclusions and Ongoing ResearchHuh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    IntroductionMotivation

    LiteratureReview

    The Model

    Results

    Multi-Channel

    Pricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    MotivationSubscription-Based Products (Magazines)

    Specific business model:

    Subscriber BaseAdvertisement Sales vs. Product Sales

    Example: Magazine Industry - Columbia Journalism

    Review (CJR) one of the leading Journalism Magazines inUS

    Sources of Revenue:

    Newsstand single copy SalesSubscription Revenue

    Advertisement Sales

    Circulation revenue for 2006 > $10 billion

    Advertisement revenue: 54% of total salesMagazine sales through subscription: 32% of total sales

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    IntroductionMotivation

    LiteratureReview

    The Model

    Results

    Multi-Channel

    Pricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Literature Review - Quantity and Pricing Models

    Environment: Both price and quantity decisions

    Inventory Replenishment Problem

    Main theme: Choice of correct quantity to

    maximize(minimize) revenue(cost) in multiple periodsOne special case: Newsvendor

    Models for join quantity-price decision making

    Petruzzi and Dada (1999) Price-setting newsvendorFedergruen and Heching (1999) single retailer withstochastic demand, comprehensive model on monopolist(refer for further literature review)

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    IntroductionMotivation

    LiteratureReview

    The Model

    Results

    Multi-Channel

    Pricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Literature Review - Competition Models

    Competitive Newsvendor

    Parlar(1988), later Lippman and McCardle (1997), Firmscompeting over the overflow of the unmet demand of theother firms

    General Existence results

    Kirman and Sobel (1974): No spill-over, backlog or lost,demand as a function of priceBernstein and Federgruen (2004): Demand as a functionof price and a second measure service level

    Ahn and Olsen (2005): Magazine problem, built onsupermodular games, prove existence of a Markov PerfectEquilibrium

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    IntroductionMotivation

    LiteratureReview

    The Model

    Results

    Multi-Channel

    Pricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Goals

    Develop a model for joint pricing and production planningfor subscription-based products

    Model should capture both stand-price andsubscription-price decisions

    Model should yield either closed-form or computationallytractable solutions

    Extend our model to the duopoly setting

    Extend our model to address multi-channel pricing of

    subscription-based products with consumers choiceTest our results numerically and apply our work to themagazine industry in New York area

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Dynamics of themodel

    DPRepresentation

    Results

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    1 Introduction

    MotivationLiterature Review

    2 The ModelDynamics of the modelDP Representation

    3 ResultsOne Stage RepresentationMonopolyDuopoly

    4 Multi-Channel Pricing5 Computational Analysis

    Symmetric FirmsAsymmetric Firms

    6 Conclusions and Ongoing Research

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Dynamics of themodel

    DPRepresentation

    Results

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Dynamics of the Model

    Firm selling its product in multiple periods

    Independent demand in each period

    Decisions in each period

    Newsstand Quantity (qt)

    Subscription Price (st)Newsstand Price (pt)

    Subscription Mechanism

    Conversion of newsstand sales to subscribers t()new subscribers = tE[min(qt, Dt)]

    Attrition rate t()leaving subscribers = (1 t)nt

    Subscription dynamicsnt(qt, nt1) = (1 t)nt1 + tE[min(qt, Dt)]

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Dynamics of themodel

    DPRepresentation

    Results

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    DP Representation

    Revenue and Cost Structure

    Variable Cost: c(nt + qt)Advertisement and Subscription Revenue: (st + m)nt (madvertisement revenue)

    Newsstand Revenue: ptE[min(qt, Dt)]

    Profit in each period

    E[ptmin(qt, Dt) c(qt + nt)] +t

    k=1(sk + m)ntk

    Analysis done for finite and infinite horizon cases

    Finite horizon case has a linear salvage value v + nvChallenge: The profit generated in period t depends onprevious decisions

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    1 Introduction

    MotivationLiterature Review

    2 The ModelDynamics of the modelDP Representation

    3 ResultsOne Stage RepresentationMonopolyDuopoly

    4 Multi-Channel Pricing5 Computational Analysis

    Symmetric FirmsAsymmetric Firms

    6 Conclusions and Ongoing Research

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    One Stage Representation

    Key Observation: Revenue in each time period is aseparable function of previous decision

    Proposition: We can transform the problem to a series ofseparable independent problems

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    M l

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    MonopolyQuantity Decision

    Decision variables:1 Production Quantity qt

    The problem can be reduced to a newsvendor problem in

    each period with no carry over of inventoryRevenue: pt +

    t(st+mc)1(1t)

    Cost: c

    Structure in the optimal quantity values:

    Decreasing subscription prices leads to decreasing optimal

    production quantityIncreasing planning horizon increases the optimalproduction quantity

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    M l

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    MonopolyQuantity and Subscription Price Decision (1)

    Decision variables:1 Production Quantity qt

    2 Subscription Price st

    Attrition rate t() and conversion rate t() are notconstant anymoret = t(st) and t = t(st)

    Two interpretations for t

    Macro: Percentage of people subscribingMicro: Probability of one person joining

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    M l

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    MonopolyQuantity and Subscription Price Decision (2)

    Under certain regularity condition for t and t, theoptimal subscription price can be determinedindependently of optimal production quantity

    If advertisement revenue is strictly positive, it is possiblethat the optimal subscription price is 0 but in absence ofadvertisement revenue optimal subscription price ispositive

    After determining optimal st

    finding optimal productionquantity reduces to the previous case

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    M l Q tit

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Monopoly - Quantity,Subscription Price and Stand Price Decision (1)

    Decision variables:1 Production Quantity qt

    2 Subscription Price st

    3 Stand Price pt

    In this new setting conversion rate t() is assumed to beboth a function of stand price pt and subscription price st

    The same one-stage representation can be achieved

    Optimal Subscription Price:Assumption: Dependency of subscription price on stand

    price and subscription price is of the multiplicative formt(st, pt) = t1 (st)t2 (pt)

    Proposition: the choice of optimal subscription price isthe same as monopoly case without stand price decision

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    M l Q tit

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Monopoly - Quantity,Subscription Price and Stand Price Decision (2)

    Transformation for one stage representation

    Concept of Virtual Price pt :

    pt pt + t(st,pt)(st+mc)1(1t(st))

    Type of random demand on newsstand:Additive: t(pt) = a bpt +

    Multiplicative: (p)t = aptb

    Assuming certain functional forms for (), demand as a

    function of Virtual price can be written in additive ormultiplicative form too. Thus, the problem is reduced to aprice setting newsvendor problem.

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly -General Setting

    Two firms competing over unsatisfied demand

    New demand function:

    Dti = ti + i(

    tj q

    tj )

    +

    Each firm has a loyal customer base tiSecond part of demand function: the portion of unsatisfieddemand that switch to a new product

    The same micro and macro level interpretation exists for i

    In this setting the demand for firm i is a function of(pti , qt

    j) and indirectly pt

    j

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly -Quantity Decision (1)

    Proposition: The one stage representation of the problemstill holds with modification of demand function

    Expected value of sales will be adjusted to

    Emin(qt1,t

    1+ 1(

    t

    2 qt

    2)+)

    We will assume uniform demand to derive closed formsolution

    Using the one stage representation the problem ofcompeting firms can be reduced to the problem of two

    competing newsvendorsWe use results from Lippman and McCardle (97) tocharacterize the equilibrium

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly -Quantity Decision (2)

    Notation i = ci/pi

    The equilibrium point for the two competing newsvendoris the pair (q1 , q

    2) iff (q

    1, q

    2) satisfy

    P(Di > qi) = i

    Notice that i is the ratio of cost to the virtual price

    Using the above result we derive the equilibrium point

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly Quantity Decision

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly - Quantity DecisionTypes of the Quantity Game Equilibria (1)

    Type of resulting equilibrium depends on and parameters

    If the cost structure of the two firms is not very different

    the emerging equilibrium is symmetric (They use thesame type of best response functions)

    Types of equilibria (type of best response functions):

    Type I (symmetric): The competing firms produce withinthe support of their loyal customers demand (i)Type II (asymmetric): One of the competing firm producesmore than the upper bound of its loyal customers demand

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly -

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly -Types of the Quantity Game Equilibria (2)

    0

    0.2

    0.4

    0.6

    0.8

    1

    0 0.2 0.4 0.6 0.8 11

    2 Type I(Symmetric)

    Type II

    Type II

    (i constant)

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly -

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly Types of the Quantity Game Equilibria (3)

    Interpretation of value as degree of separation ofmarkets:

    Recall Dti = ti + i(

    tj q

    tj )

    +

    Proposition: For any combination of (c1, p1) and (c2, p2)there exists a = 1 = 2 such that resulting equilibria issymmetric for all

    If firms operate separate markets the symmetric type of

    equilibrium will emerge, meaning they will use the sametype of best response

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly - Convergence of

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly Convergence ofBest Response Functions in Quantity Game

    Proposition: If the firms start from a non-equilibriumpoint a tatonnement scheme using their best responsefunctions will eventually converge to the equilibrium point

    Moreover the convergence rate when the best responsefunctions are symmetric is linear

    Implication of the above result:

    If the firms start with a limited view of what they shouldproduce (one might dismiss the possibility of producing

    above its loyal customer base demand) the best responsefunctions will eventually lead them to the equilibriumpoint!

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly -

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly Quantity and Subscription Price Quantity Game (1)

    As in monopolist case we consider the case werecompetitors decide on their subscription price too

    The equation governing optimal choice of subscription

    price is:1(s1)

    s1+m1c1

    1 (s1)1(s1)1(11(s1))

    + 1(s1)

    = 0

    The optimal subscription price can be determined beforeentering the competition

    Optimal subscription price independent of quantity decisionOptimal subscription price independent of other firmsquantity and subscription price decision

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly -

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Duopoly Quantity and Subscription Price Quantity Game (2)

    After setting the subscription rates the problem reduces tothe previous case

    Proposition: Two firms competing with quantity andsubscription price first set their subscription prices like amonopolist and then choose their production level as theprevious case. This decision will determine the uniqueequilibrium point.

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Duopoly - Effect of

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    Outline

    Introduction

    The Model

    Results

    One StageRepresentation

    Monopoly

    Duopoly

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    uopo y ect oSubscription Price on the Equilibrium Point

    Observation: Recall

    Type of emerging equilibria depends on = c/p

    pp+ (s,p)(s+mc)1(1(s))

    Although choice of s can be done without entering thecompetition, however it will have an effect on the type ofemerging equilibrium.

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Multi-Channel Pricing

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    Analysis

    Conclusionsand OngoingResearch

    gGeneral Setting (1)

    One publishing firm offering the magazine throughdifferent channels (traditional paper-based, electronic,combination)

    Consumers enter the system and based on a consumer

    choice model (for example multinomial logit choose theirpreferred product)

    In each period the consumers re-evaluate their subscriptiontype

    There are different types of customers (i.e. different utilityfunction co-efficient with regard to different subscriptiontypes)

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Multi-Channel Pricing

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    Analysis

    Conclusionsand OngoingResearch

    gGeneral Setting (2)

    Decision

    Print

    Online

    Print

    +

    Online

    ot

    ct

    srt

    (Pst

    )

    ort(Po

    t)

    crt(Pc

    t)

    Pst

    Pot

    Pct

    st

    Demand

    Exit

    Nnt

    Nrt

    Nt

    e

    t

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Multi-Channel Pricing

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    Analysis

    Conclusionsand OngoingResearch

    gChallenges

    Number of subscribers for each product depends on theprice decisions in all previous periods.

    The dynamic programming formulation is highly non-lineareven when simple linear functions are chosen for utilityfunctions.

    Because of limited pool of customers not only the pricebut production quantity decision will also impact the

    future states directly.

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    IntroductionThe Model

    Results

    Multi-ChannelPricing

    Computational

    AnalysisSymmetricFirms

    AsymmetricFirms

    Conclusionsand OngoingResearch

    1 Introduction

    MotivationLiterature Review

    2 The ModelDynamics of the modelDP Representation

    3 ResultsOne Stage RepresentationMonopolyDuopoly

    4 Multi-Channel Pricing5 Computational Analysis

    Symmetric FirmsAsymmetric Firms

    6 Conclusions and Ongoing Research

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Effect of cost on value of considering the

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    Outline

    IntroductionThe Model

    Results

    Multi-ChannelPricing

    Computational

    AnalysisSymmetricFirms

    AsymmetricFirms

    Conclusionsand OngoingResearch

    competition - Case of similar firms

    0%

    10%

    20%

    30%

    40%

    0 1 2 3 4 5Cost

    %o

    fProfitImprovementby

    ConsideringtheCompetition i= 1 i= 0.8

    i = 0.6

    Increase in cost of production increases the value ofconsidering the competition

    m as bs ap bp a b p

    13 0.1 0.005 0.3 0.001 0.05 0.001 0.9 6

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Effect of stand price on value of considering the

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    AnalysisSymmetricFirms

    AsymmetricFirms

    Conclusionsand OngoingResearch

    competition - Case of similar firms

    Increase in stand price decreases the value of consideringthe competition

    m as bs ap bp a b c

    13 0.1 0.005 0.3 0.001 0.05 0.001 0.9 3

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Who benefits more? Asymmetric firms

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    AnalysisSymmetricFirms

    AsymmetricFirms

    Conclusionsand OngoingResearch

    Asymmetry in cost

    Firms differ in their costs

    Considering thecompetition has a highervalue for the firms whichare operating with highercost

    m as bs ap bp13 0.1 0.005 0.3 0.001a b c1 p

    0.05 0.001 0.9 0.8 3 6

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Who benefits more? Asymmetric firms

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    Computational

    AnalysisSymmetricFirms

    AsymmetricFirms

    Conclusionsand OngoingResearch

    Asymmetry in customer attraction power

    Firms differ in their values, interpret ascustomer attraction power

    Considering thecompetition has a highervalue for the firms otherfirms customers are lessloyal

    m as bs ap bp13 0.1 0.005 0.3 0.001a b 1 c p

    0.05 0.001 0.7 0.8 3 6

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    1 Introduction

    MotivationLiterature Review

    2 The ModelDynamics of the modelDP Representation

    3 ResultsOne Stage RepresentationMonopolyDuopoly

    4 Multi-Channel Pricing5 Computational Analysis

    Symmetric FirmsAsymmetric Firms

    6 Conclusions and Ongoing Research

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

    Conclusions and Ongoing Research

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Conclusions and Ongoing Research

    Presented a model for joint pricing and productionplanning for subscription-based products

    Model captured both stand-price and subscription-pricedecisionsModel yielded closed-form and computationally tractable

    solutions that brought insight into the problemExtended our model to the duopoly setting

    Presented encouraging numerical results

    Currently implementing our work at Columbia Journalism

    Review (CJR)Will enhance the model to incorporate differentdistribution channels (e.g. online) and effect ofpromotional activities on subscription base

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning

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    Outline

    Introduction

    The Model

    Results

    Multi-ChannelPricing

    ComputationalAnalysis

    Conclusionsand OngoingResearch

    Optimal Pricing and Production Planning forSubscription-Based Products

    W. T. Huh S. Kachani A. Sadighian

    Department of Industrial Engineering and Operations Research,Columbia University, New York

    MSOM Annual Meeting - Beijing, ChinaJune 18-19, 2007

    Huh, Kachani, Sadighian Optimal Pricing and Production Planning