Skip to main content
Log in

Optimal pricing and inventory policies with reliable and random-yield suppliers: characterization and comparison

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In this paper, we study the joint pricing and inventory replenishment problem for a periodic-review inventory system with random demand and dual suppliers, one of the suppliers is reliable but more expensive, the other supplier is less expensive but is unreliable with random yield. We characterize the firm’s optimal policies that simultaneously determine the optimal ordering and pricing decisions in each period over a finite planning horizon, and investigate the impacts of supply source diversification and supplier reliability on the firm and on its customers. We show that having source diversification or higher reliability of suppliers not only increases the firm’s expected profit, but also results in a lower optimal selling price, thus they benefit both the firm and its customers.

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

  • Anupindi, R., & Akella, R. (1993). Diversification under supply uncertainty. Management Science, 39(8), 944–963.

    Article  Google Scholar 

  • Argoneto, P., Perrone, G., Renna, P., Nigro, G. L., Bruccoleri, M., & Diega, S. N. L. (2010). Production planning in production networks: models for medium and short term planning. Berlin: Springer.

    Google Scholar 

  • Chao, X., Chen, H., & Zheng, S. (2008). Joint replenishment and pricing decisions in inventory systems with stochastically dependent supply capacity. European Journal of Operational Research, 191(1), 142–155.

    Article  Google Scholar 

  • Chen, W., Feng, Q., & Seshadri, S. (2013). Sourcing from suppliers with random yield for price dependent demand. Annals of Operations Research, 208, 557–579.

    Article  Google Scholar 

  • Chen, J., Yao, D. D., & Zheng, S. (2001). Optimal replenishment and rework with multiple unreliable supply sources. Operations Research, 49(3), 430–443.

    Article  Google Scholar 

  • Chen, X., & Simchi-Levi, D. (2004). Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The finite horizon case. Operations Research, 52(6), 887–896.

    Article  Google Scholar 

  • Chen, X., & Simchi-Levi, D. (2012). Pricing and inventory management. In R. Philips, & O. Ozalp (Eds.), The Oxford handbook of pricing management. Oxford: Oxford University Press.

    Google Scholar 

  • Dada, M., Petruzzi N. C., & Schwarz, L. B. (2007). A newsvendor’s procuremnt problem when suppliers are unreliable. Manufacturing and Service Operations Management, 9(1), 9–32.

    Article  Google Scholar 

  • Federgruen, A., & Heching, A. (1999). Combined pricing and inventory control under uncertainty. Operations Research, 47(3), 454–475.

    Article  Google Scholar 

  • Federgruen, A., & Yang, N. (2011). Procurement strategies with unreliable suppliers. Operations Research, 59(4), 1033–1039.

    Article  Google Scholar 

  • Feng, Q. (2010). Integrating dynamic pricing and replenishment decisions under supply capacity uncertainty. Management Science, 56(12), 2154–2172.

    Article  Google Scholar 

  • Gong, X., Chao X., & Zheng, S. (2013). Dynamic pricing and inventory management with dual suppliers of different leadtimes and disruption risks. Production and Operations Management. (forthcoming).

  • Gupta, D., & Cooper, W. L. (2005). Stochastic comparisons in production yield management. Operations Research, 53(2), 377–384.

    Article  Google Scholar 

  • Henig, M., & Gerchak, Y. (1990). The structure of periodic review policies in the presence of random yield. Operations Research, 38(4), 634–643.

    Article  Google Scholar 

  • Heyman, D. P., & Sobel, M. J. (1984). Stochastic models in operations research (Vol. 2). New York: McGraw-Hill.

    Google Scholar 

  • Hsu, A., & Bassok, Y. (1999). Random yield and random demand in a production system with downward substitution. Operations Research, 47, 277–290.

    Article  Google Scholar 

  • Li Q., & Zheng, S. (2006). Joint inventory replenishment and pricing control for systems with uncertain yield and demand. Operations Research, 54(4), 696–705.

    Article  Google Scholar 

  • Qi, L., & Shen, Z.-J. M. (2007). A supply chain design model with unreliable supply. Naval Research Logistics, 54, 829–844.

    Article  Google Scholar 

  • Ross, S. M. (2003). Stochastic processes (2nd ed.). New York: Academic Press.

    Google Scholar 

  • Shaked, M., & Shanthikumar, G. (1994). Stochastic orders and their applications. New York: Academic Press.

    Google Scholar 

  • Sheffi, Y. (2005). The resilient enterprise: Overcoming vulnerability for competitive advantage. Cambridge, MA: MIT Press.

    Google Scholar 

  • Tomlin, B., & Wang, Y. (2005). On the value of mix flexibility and dual sourcing in unreliable newsvendor networks. Manufacturing and Service Operations Management., 7(1), 37–57.

    Article  Google Scholar 

  • Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639–657.

    Article  Google Scholar 

  • Topkis, D. M. (1998). Supermodularity and complementarity. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Yano, C. A., & Gilbert, S. M. (2003). Coordinated pricing and production/procurement decisions: A review. In J. Eliashberg, & A. Chakravarty (Eds.), Managing business interfaces: Marketing, engineering, and manufacturing perspectives. Norwell, MA: Kluwer.

Download references

Acknowledgment

The authors are grateful to two anonymous referees for their constructive comments and suggestions. In particular, the study on the case with correlated supply yield and demand was suggested by a reviewer. The research of Xiuli Chao is supported by NSF under CMMI-0927631 and CMMI-1131249. The research of Xiting Gong is supported in part by CUHK Direct Grant under No. 4055022. The research of Shaohui Zheng is supported by Hong Kong Research Grants Council under Grants #647611 and #645212, and by National Natural Science Foundation of China under Grant #71131003.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiuli Chao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chao, X., Gong, X. & Zheng, S. Optimal pricing and inventory policies with reliable and random-yield suppliers: characterization and comparison. Ann Oper Res 241, 35–51 (2016). https://doi.org/10.1007/s10479-014-1547-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-014-1547-0

Keywords

Navigation