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A unique optimization model for deterministic bundle pricing of two products with limited stock

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Abstract

In this study a firm in a monopoly environment is considered. The firm sells two types of perishable products using a commodity bundling practice. This study aims to find the optimal strategy of selling these products. We determine whether they should be offered separately or in a bundle, define their optimal prices and determine the initial amount of the bundle which should be made from components with limited stocks. A benefit-lost cost in a case that the customer segment does not find their desirable product is considered along with a shortage cost in a case that the customer segment selects a product or the bundle but there is not enough of it to satisfy all of the customer segment demands. In this study several different customer segments with different behaviors and reservation prices are assumed. The problem is solved using the Mixed-Integer Non-Linear Programming solver in LINGO software and a Genetic Algorithm. Finally, the superiority of obtained model and results are presented. This is the first study to locate optimal strategy of selling two types of perishable products using a commodity bundling practice. This study introduces a new mathematical optimization model based on previous gaps. Moreover, it covers the significant gaps of previous studies with respect to both practical and theoretical aspects.

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References

  • Adams WJ, Yellen JL (1976) Commodity bundling and the burden of monopoly. Q J Econ 90(3):475–498

    Article  Google Scholar 

  • Armstrong M (2013) A more general theory of commodity bundling. J Econ Theory 148(2):448–472

    Article  MATH  MathSciNet  Google Scholar 

  • Azadeh A, Songhori M, Saberi M, Hosseini S, Salarvand F, Pazhoheshfar P (2014) Deterministic bundle pricing of two products with limited stock. In: Proceedings intelligent systems (ICIS), 2014 Iranian conference on 2014, IEEE, p 1–5

  • Bulut Z, Gürler Ü, Şen A (2009) Bundle pricing of inventories with stochastic demand. Eur J Op Res 197(3):897–911

    Article  MATH  MathSciNet  Google Scholar 

  • Chaharsooghi S, Honarvar M, Modarres M (2011) A multi-stage stochastic programming model for dynamic pricing and lead time decisions in multi-class make-to-order firm. Sci Iran 18(3):711–721

    Article  Google Scholar 

  • Chu CS, Leslie P, Sorensen A (2011) Bundle-size pricing as an approximation to mixed bundling: The American Economic Review, p 263–303

  • Chuang JC-I, Sirbu MA (1999) Optimal bundling strategy for digital information goods: network delivery of articles and subscriptions. Inf Econ Policy 11(2):147–176

    Article  Google Scholar 

  • Crawford GS, Cullen J (2007) Bundling, product choice, and efficiency: should cable television networks be offered à la carte? Inf Econ Policy 19(3):379–404

    Article  Google Scholar 

  • Deep K, Das KN (2013) A novel hybrid genetic algorithm for constrained optimization. Int J Syst Assur Eng Manag 4(1):86–93

    Article  MATH  Google Scholar 

  • Fang H, Norman P (2003) To bundle or not to bundle. Social Systems Research Institute, University of Wisconsin, Madison, USA

    Google Scholar 

  • Ferreira KD, Wu DD (2011) An integrated product planning model for pricing and bundle selection using Markov decision processes and data envelope analysis. Int J Prod Econ 134(1):95–107

    Article  Google Scholar 

  • Gacem A, Benattous D (2017) Hybrid genetic algorithm and particle swarm for optimal power flow with non-smooth fuel cost functions. Int J Syst Assur Eng Manag 8:146–153

    Article  Google Scholar 

  • Gale D (2004) Notes on optimal capital regulation: The Evolving Financial System and Public Policy. Bank of Canada, Ottawa

    Google Scholar 

  • Girju M, Prasad A, Ratchford BT (2013) Pure components versus pure bundling in a marketing channel. J Retail 89(4):423–437

    Article  Google Scholar 

  • Gürler Ü, Öztop S, Şen A (2009) Optimal bundle formation and pricing of two products with limited stock. Int J Prod Econ 118(2):442–462

    Article  Google Scholar 

  • Hanson W, Martin RK (1990) Optimal bundle pricing. Manag Sci 36(2):155–174

    Article  MATH  Google Scholar 

  • Hui W, Yoo B, Choudhary V, Tam KY (2012) Sell by bundle or unit?: pure bundling versus mixed bundling of information goods. Decis Support Syst 53(3):517–525

    Article  Google Scholar 

  • Kameshwaran S, Viswanadham N, Desai V (2007) On bundling and pricing of the service with the product. In: Proceedings automation science and engineering, 2007. CASE 2007. IEEE international conference on 2007, IEEE, p 652–657

  • Kinberg Y, Sudit EF (1979) Country/service bundling in international tourism: criteria for the selection of an efficient bundle mix and allocation of joint revenues. J Int Bus Stud 10(2):51–63

    Article  Google Scholar 

  • Kuo C-W, Ahn H-S, Aydin G (2011) Dynamic pricing of limited inventories when customers negotiate. Op Res 59(4):882–897

    Article  MATH  MathSciNet  Google Scholar 

  • Lawless MW (1991) Commodity bundling for competitive advantage: strategic implications. J Manag Stud 28(3):267–280

    Article  Google Scholar 

  • Lehmann D-W-IS, Buxmann P (2009) Pricing strategies of software vendors. Bus Inf Syst Eng 1(6):452–462

    Article  Google Scholar 

  • Li M, Feng H, Chen F, Kou J (2013) Numerical investigation on mixed bundling and pricing of information products. Int J Prod Econ 144(2):560–571

    Article  Google Scholar 

  • Manelli AM, Vincent DR (2006) Bundling as an optimal selling mechanism for a multiple-good monopolist. J Econ Theory 127(1):1–35

    Article  MATH  MathSciNet  Google Scholar 

  • Mayer S, Klein R, Seiermann S (2013) A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints. Int J Prod Econ 145(2):584–598

    Article  Google Scholar 

  • Mokhlesian M, Zegordi SH (2014) Application of multidivisional bi-level programming to coordinate pricing and inventory decisions in a multiproduct competitive supply chain. Int J Adv Manuf Technol 71(9–12):1975–1989

    Article  Google Scholar 

  • Olderog T, Skiera B (2000) The benefits of bundling strategies: Schmalenbach Business Review (SBR), v 52, no 2

  • Ozkul AS, Yilmaz H, Barut M (2012) Commodity bundling in the supply chain: a simulation study. Int J Integr Supply Manag 7(1):114–137

    Article  Google Scholar 

  • Rabbani M, Zia N, Rafiei H (2014) Optimal dynamic pricing and replenishment policies for deteriorating items. Int J Ind Eng Comput 5(4):621–630

    Google Scholar 

  • Schmeidler D (1984) Subjective probability and expected utility without additivity. Econometrica 57(3):571–587

    Article  MATH  MathSciNet  Google Scholar 

  • Shah NH, Patel AR, Lou K-R (2011) Optimal ordering and pricing policy for price sensitive stock–dependent demand under progressive payment scheme. Int J Ind Eng Comput 2(3):523–532

    Google Scholar 

  • Shioda R, Tunçel L, Myklebust T (2011) Maximum utility product pricing models and algorithms based on reservation price. Comput Optim Appl 48(2):157–198

    Article  MATH  MathSciNet  Google Scholar 

  • Simonin BL, Ruth JA (1995) Bundling as a strategy for new product introduction: Effects on consumers’ reservation prices for the bundle, the new product, and its tie-in. J Bus Res 33(3):219–230

    Article  Google Scholar 

  • Spring M, Araujo L (2009) Service, services and products: rethinking operations strategy. Int J Op Prod Manag 29(5):444–467

    Article  Google Scholar 

  • Stremersch S, Tellis GJ (2002) Strategic bundling of products and prices: a new synthesis for marketing. J Mark 66(1):55–72

    Article  Google Scholar 

  • Venkatesh R, Kamakura W (2003) Optimal bundling and pricing under a monopoly: contrasting complements and substitutes from independently valued products*. J Bus 76(2):211–231

    Article  Google Scholar 

  • Venkatesh R, Mahajan V (1993) A probabilistic approach to pricing a bundle of products or services. J Mark Res (JMR) 30(4):494–508

    Article  Google Scholar 

  • Wu S-Y, Hitt LM, Chen P-Y, Anandalingam G (2008) Customized bundle pricing for information goods: a nonlinear mixed-integer programming approach. Manag Sci 54(3):608–622

    Article  MATH  Google Scholar 

  • Yadav MS, Monroe KB (1993) How buyers perceive savings in a bundle price: an examination of a bundle’s transaction value. J Mark Res (JMR) 30(4):350–358

    Article  Google Scholar 

  • Yang B, Ng C (2010) Pricing problem in wireless telecommunication product and service bundling. Eur J Op Res 207(1):473–480

    Article  MATH  MathSciNet  Google Scholar 

  • Yang P, Wee H (2003) Optimal strategy in vendor-buyer alliances with quantity discount. Int J Comput Integr Manuf 16(6):455–463

    Article  Google Scholar 

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Acknowledgements

Funding was provided by University of Tehran (Grant No. 8106013/1/17).

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Correspondence to Ali Azadeh.

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Motivation and significant This study introduces a new mathematical optimization model based on the following significant considerations. Moreover, it covers the significant gaps of previous studies as discussed next. In this paper, the bundling problem is taken into account in a case that the number of products 1 and 2 are limited. In this case, the firm should make the bundle using limited stocks. They should determine amount of the bundle which is made by these products. Also, in this study, it is assumed that there are different customer segments with different reservation prices for each product. Therefore, when there are not enough products or bundles to satisfy all the customer demands, we have a shortage cost. Another type of cost that is considered in the model is benefit-lost cost. When the customer segment does not find its desirable product, the benefit obtained from purchasing these products is lost (benefit-lost cost).

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Azadeh, A., Songhori, H. & Salehi, N. A unique optimization model for deterministic bundle pricing of two products with limited stock. Int J Syst Assur Eng Manag 8 (Suppl 2), 1154–1160 (2017). https://doi.org/10.1007/s13198-017-0581-0

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