Skip to main content
Log in

Coordinating pricing and inventory control in a fluctuating environment

  • Published:
Acta Mathematicae Applicatae Sinica, English Series Aims and scope Submit manuscript

Abstract

This paper addresses the simultaneous determination of pricing and inventory replenishment strategies under a fluctuating environment. Specifically, we analyze the single item, periodic review model. The demand consists of two parts: the deterministic component, which is influenced by the price, and the stochastic component (perturbation). The distribution of the stochastic component is determined by the current state of an exogenous Markov chain. The price that is charged in any given period can be specified dynamically. A replenishment order may be placed at the beginning of some or all of the periods, and stockouts are fully backlogged. Ordering costs that are lower semicontinuous, and inventory/backlog (or surplus) costs that are continuous with polynomial growth. Finite-horizon and infinite-horizon problems are addressed. Existence of optimal policies is established. Furthermore, optimality of (s,S,p)-type policies is proved when the ordering cost consists of fixed and proportional cost components and the surplus cost (these costs are all state-dependent) is convex.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Aubin, J.P. Mathematical methods of game and economic theory. Noth-Holland, Amsterdam, Netherlands, 1979

    MATH  Google Scholar 

  2. Bensoussan, A., Crouhy, M., Proth, J. Mathematical theory of products planning. North-Holland, Amsterdam, Netherlands, 1983

    Google Scholar 

  3. Beyer, D., Sethi, S.P., Taksar, M. Inventory models with Markovian demands and cost functions of ploynomial growth. Journal of Optimization theory and Applications, 98: 281–323 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  4. Chen, F., Song, J. Optimal Policies for multiechelon inventory problems with Markov-modilated demand. Operations Research, 49: 226–234 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  5. Chen, X., Simchi-Levi, D. Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The finite horizon case. Operations Research, 52: 887–896 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  6. Chen, X., Simchi-Levi, D. Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The infinite horizon case. Mathematics of Operations Research, 29: 698–723 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  7. Elmaghraby, W., Keskinocak, P. Dynamic pricing in the presence of inventory considerations: research overview, current practices, and future directions. Management Science, 49(10): 1287–1309 (2003)

    Article  Google Scholar 

  8. Federgruen, A., Heching, A. Combined pricing and inventory control under uncertainty. Operations Research, 47: 454–475 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  9. Feng, Y., Chen, F.Y. Optimality and optimization of a joint pricing and inventory-control policy for a periodic-review system, (Working paper). The Chinese University of Hong Kong, 2004

  10. Gallego, G., van Ryzin, G. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Science, 40: 999–1020 (1994)

    Article  MATH  Google Scholar 

  11. Hempenius, A.L. Monopoly with random demand. Universitaire Pers Rotterdam, Rotterdam, the Netherlands, 1970

    MATH  Google Scholar 

  12. Iglehart, D., Karlin, S. Optimal policy for dynamic inventory process with nonstationay stochastic demands. K. Arrow, S. Karlin, H. Scarf. eds. Studies in Applied Probability and Management Science, Chap. 8 Stanford University Press, Stanford, CA., 1962

    Google Scholar 

  13. Karlin, S. Dynamic inventory policy with varying stochastic demands. Management Science, 6(2): 231–258 (1960)

    Article  MATH  MathSciNet  Google Scholar 

  14. Karlin, S., Carr, C.R. Prices and optimal inventory policy. Studies in Applied Probability and Management Science. K. Arrow, S. Karlin, H. Scarf, eds. Stanford University Press, Stanford, CA., 1962

    Google Scholar 

  15. kimKimes, S. E. 1989, A tool for capacity-constrained service firms, Journal of Operations Management, vol. 8, 348–363.

    Article  Google Scholar 

  16. Lau, A.H., Lau, H. The newsboy problem with price dependent demand distribution. IIE Transactions, 20: 168–175 (1988)

    Article  Google Scholar 

  17. Mills, E.S. Uncertainty and price theory. Quarterly Journal of Economics, 73: 116–130 (1959)

    Article  Google Scholar 

  18. Mills, E.S. Price, output and inventory policy. John Wiley, New York, 1962

    MATH  Google Scholar 

  19. Polatoglu, L.H. Optimal order quantity and pricing decisions in single period inventory systems. International Journal of Production Economics, 23: 175–185 (1991)

    Article  Google Scholar 

  20. Sethi, S.P., Cheng, F. Optimality of (s, S) policies in inventory models with Markovian demand. Operations Research, 45: 931–939 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  21. Song, J., Zipkin, P. Inventory control in a fluctuating demand enviroment. Operations Research, 41: 351–370 (1993)

    Article  MATH  Google Scholar 

  22. Thomas, L.J. Price and production decisions with random demand. Operations Research, 22: 513–518 (1974)

    Article  MATH  Google Scholar 

  23. Thowsen, G.T. A dynamic, nonstationary invneotry problem for a price/quantity setting firm. Navel Research Logistics Quaterly, 22: 461–476 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  24. Whitin, T M. Inventory control and price theory. Management Science, 2: 61–80 (1955)

    Article  MathSciNet  Google Scholar 

  25. Yano, C.A., Gilbert, S.M. Coordinated pricing and production/procurement decisions: a review. In: Managing Business Interfaces: Marketing, Engineering and Manufacturing Perspectives, A. Chakravarty and J. Eliashberg (eds.), Kluwer Academic Publishers, 2003

  26. Young, L. Price, inventory and structure of uncertain demand. New Zealand Operation Research, 6: 157–177 (1978)

    Google Scholar 

  27. Zabel, E. Monopoly and uncertainty. Review of Economical Study, 37: 205–219 (1970)

    Article  MATH  Google Scholar 

  28. Zipkin, P. Critical number policies for inventory models with periodic data. Management Science, 35: 71–80 (1989)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ju-liang Zhang.

Additional information

Supported by the National Natural Science Foundation of China (No. 70621061, No. 70890082, No. 70671100) and Science Foundation of Beijing Jiaotong University (2007RC014).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, Jl., Chen, J. & Zhang, Xs. Coordinating pricing and inventory control in a fluctuating environment. Acta Math. Appl. Sin. Engl. Ser. 26, 187–204 (2010). https://doi.org/10.1007/s10255-007-7093-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10255-007-7093-7

Keywords

2000 MR Subject Classification

Navigation