Skip to main content

Price-to-Quality Ratio Dependent Demand: Keeping the Intensity of Demand Constant

  • Conference paper
  • First Online:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (APMS 2021)

Abstract

We consider a deterministic model of an inventory system that consists of a single type of perishable product, which is periodically replenished, and a demand depends on price-to-quality ratio (PQR). The product quality decays linearly over time. To keep an intensity of the demand constant we change the price proportionally to the decreasing quality of the product. Exponential and linear dependences of the demand’s intensity of PQR are considered and optimal values of lot size and PQR maximizing the profit per unit time are obtained.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fujiwara, O., Perera, U.L.J.S.R.: EOQ models for continuously deteriorating products using linear and exponential penalty costs. Eur. J. Oper. Res. 70(1), 104–114 (1993)

    Google Scholar 

  2. Li, D., Tang, O., O’Brien, C., Wang, X.: Improve food retail supply chain operations with dynamic pricing and product tracing. Int. J. Serv. Oper. Inf. 1(4), 347–362 (2006)

    Google Scholar 

  3. Wang, X.: Optimal pricing with dynamic tracking in the perishable food supply. In: Chan, H.K., et al. (eds.) Decision-Making for Supply Chain Integration: Supply Chain Integration. DECENGIN, vol. 1, pp. 63–88. Springer, London (2012). https://doi.org/10.1007/978-1-4471-4033-7_4

    Chapter  Google Scholar 

  4. Zhao, W., Zheng, Y.-S.: Optimal dynamic pricing for perishable assets with non homogeneous demand. Manage. Sci. 46, 375–388 (2000)

    Article  Google Scholar 

  5. Adenso-Díaz, B., Lozano, S., Palacio, A.: Effects of dynamic pricing of perishable products on revenue and waste. Appl. Math. Model. 45, 148–164 (2017)

    Article  MathSciNet  Google Scholar 

  6. Dolgui, A., Proth, J.-M.: Pricing strategies and models. Ann. Rev. Control 34(1), 101–110 (2010)

    Article  Google Scholar 

  7. Kitaeva, A., Stepanova, N., Zhukovskaya, A.: Price-to-quality ratio dependent demand: optimal dynamic pricing and replenishment period. In: 2018 International Conference on Control, Decision and Information Technologies (CoDIT 2018), Thessaloniki, Greece, pp. 341–345. IEEE Conference Publications (2018)

    Google Scholar 

  8. Chow, S.-C.: Biosimilars: Design and Analysis of Follow-on Biologics. Chapman and Hall/CRC Press, New York (2013)

    Book  Google Scholar 

  9. Tsiros, M., Heilman, C.M.: The effect of expiration dates and perceived risks on purchasing behavior in grocery store perishable categories. J. Market. 69(2), 114–129 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kitaeva, A.V., Stepanova, N.V., Zhukovskaya, A.O. (2021). Price-to-Quality Ratio Dependent Demand: Keeping the Intensity of Demand Constant. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85874-2_65

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85873-5

  • Online ISBN: 978-3-030-85874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics