Skip to main content

Optimization of an Inventory Model with Demand Dependent on Selling Price and Stock, Nonlinear Holding Cost Along with Trade Credit Policy

  • Conference paper
  • First Online:
Applications of Operational Research in Business and Industries

Abstract

The demand for a product is influenced by a number of factors, including the selling price and the displayed stock level, among others. Considering this scenario, an EOQ inventory model is developed where demand is a function of both selling price and the inventory level which is one of the main contributions of this research work. Holding cost is assumed to be nonlinearly dependent on stock. Besides that, supplier grants a full trade credit policy to the retailer. This policy is very advantageous for both the counterpart—the supplier as well as the retailer. The supplier can attract more customers by offering a delay period whereas the latter enjoys the benefit of getting goods without instant payment. The proposed mathematical model aims to find out the optimal selling price and optimal length of the replenishment cycle so as to maximize the total profit of the retailer per unit time. Several theorems are well-established in order to reach to the optimal solution. A numerical example is also presented to demonstrate the suggested inventory model, and a sensitivity analysis is executed to highlight the findings of the inventory model and put forward valuable managerial insights. This research work can be helpful to the business communities facing nonlinear demand patterns. Businesses that want to offer trade credit policies but are dealing with nonlinear holding costs may also find it helpful. Sensitivity analysis can be useful in determining the impact of various cost parameters on the total generated profit.

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
  • 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

Similar content being viewed by others

References

  1. Alfares, H. K., & Ghaithan, A. M. (2016). Inventory and pricing model with price-dependent demand, time-varying holding cost, and quantity discounts. Computers and Industrial Engineering, 94, 170–177.

    Article  Google Scholar 

  2. Cambini, A., & Martein, L. (2009). Generalized convexity and optimization: Theory and applications. Springer.

    Google Scholar 

  3. Cárdenas-Barrón, L. E., Shaikh, A. A., Tiwari, S., & Treviño-Garza, G. (2020). An EOQ inventory model with nonlinear stock dependent holding cost, nonlinear stock dependent demand and trade credit. Computer & Industrial Engineering, 139, 105557.

    Google Scholar 

  4. Chang, H.-C., Ho, C.-H., Ouyang, L.-Y., & Su, C.-H. (2009). The optimal pricing and ordering policy for an integrated inventory model linked to order quantity. Applied Mathematical Modelling, 33, 2978–2991.

    Article  Google Scholar 

  5. Das, D., Roy, A., & Kar, S. (2011). A volume flexible economic production lot-sizing problem with imperfect quality and random machine failure in fuzzy-stochastic environment. Computers and Mathematics with Applications, 61(9), 2388–2400.

    Article  Google Scholar 

  6. Das, S. C., Zidan, A. M., Manna, A. K., Shaikh, A. A., & Bhunia, A. K. (2020). An application of preservation technology in inventory control system with price dependent demand and partial backlogging. Alexandria Engineering Journal, 59, 1359–1369.

    Article  Google Scholar 

  7. Datta, T. K., & Pal, A. K. (1990). A note on an inventory model with inventory-level dependent demand rate. Journal of the Operational Research Society, 41(10), 971–975.

    Article  Google Scholar 

  8. Ghosh, P. K., Manna, A. K., Dey, J. K., & Kar, S. (2021). An EOQ model with backordering for perishable items under multiple advanced and delayed payments policies. Journal of Management Analytics. https://doi.org/10.1080/23270012.2021.1882348

    Article  Google Scholar 

  9. Goyal, S. K. (1985). Economic order quantity under conditions of permissible delay in payments. Journal of the Operational Research Society, 36(4), 335–338.

    Article  Google Scholar 

  10. Haley, C. W., & Higgins, H. C. (1973). Inventory policy and trade credit financing. Management Science, 20(4), 464–471.

    Article  Google Scholar 

  11. Hsieh, T. P., & Dye, C. Y. (2017). Optimal dynamic pricing for deteriorating items with reference price effects when inventories stimulate demand. European Journal of Operational Research, 262(1), 136–150.

    Article  Google Scholar 

  12. Khanna, A., Kishore, A., Sarkar, B., & Jaggi, C. K. (2020). Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation. RAIRO—Operations Research, 54(1), 287–306.

    Article  Google Scholar 

  13. Khanra, S., Mandal, B., & Sarkar, B. (2013). An inventory model with time dependent demand and shortages under trade credit policy. Economic Modelling, 35, 349–355.

    Article  Google Scholar 

  14. Kumar, S., & Kumar, N. (2016). An inventory model for deteriorating items under inflation and permissible delay in payments by genetic algorithm. Cogent Business & Management, 3(1), 1239605.

    Article  Google Scholar 

  15. Levin, R. I., McLaughlin, C. P., Lamone, R. P., & Kattas, J. F. (1972). Productions/operations management: Contemporary policy for managing operating systems. McGraw Hill.

    Google Scholar 

  16. Mishra, U., Cárdenas-Barrón, L. E., Tiwari, S., Shaikh, A. A., & Treviño-Garza, G. (2017). An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment. Annals of Operations Research, 254(1), 165–190.

    Google Scholar 

  17. Musa, A., & Sani, B. (2012). Inventory ordering policies of delayed deteriorating items under permissible delay in payments. International Journal of Production Economics, 136, 75–83.

    Article  Google Scholar 

  18. Ouyang, L.-Y., Ho, C.-H., & Su, C.-H. (2009). An optimization approach for joint pricing and ordering problem in an integrated inventory system with order-size dependent trade credit. Computers and Industrial Engineering, 57, 920–930.

    Article  Google Scholar 

  19. Wu, K. S., Ouyang, L. Y., & Yang, C. T. (2006). An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging. International Journal of Production Economics, 101(2), 369–384.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mamta Kumari .

Editor information

Editors and Affiliations

Appendices

Appendix 1

$$\begin{aligned} f\left( T \right) & = \left[ {p\left[ {\alpha \left( {a - bp} \right)\left( {1 - \beta } \right)T} \right]^{{\frac{1}{1 - \beta }}} } \right. \\ & \quad + pI_{{\text{e}}} \left[ {M\left[ {\alpha \left( {a - bp} \right)\left( {1 - \beta } \right)T} \right]^{{\frac{1}{1 - \beta }}} } \right. \\ & \quad + \frac{1}{{\alpha \left( {a - bp} \right)\left( {2 - \beta } \right)}}\left\{ {\left[ {\left( {a - bp} \right)\left( {1 - \beta } \right)\left( {T - M} \right)} \right]^{{\frac{2 - \beta }{{1 - \beta }}}} } \right. \\ & \quad \left. {\left. { - \left[ {\alpha \left( {a - bp} \right)\left( {1 - \beta } \right)T} \right]^{{\frac{2 - \beta }{{1 - \beta }}}} } \right\}} \right] \\ & \quad - o - c\left[ {\alpha \left( {a - bp} \right)\left( {1 - \beta } \right)T} \right]^{{\frac{1}{1 - \beta }}} \\ & \quad - h\frac{{\left[ {\alpha \left( {a - bp} \right)\left( {1 - \beta } \right)T} \right]^{{\frac{\gamma + 1 - \beta }{{1 - \beta }}}} }}{{\alpha \left( {a - bp} \right)\left( {\gamma + 1 - \beta } \right)}} \\ & \quad \left. { - \frac{{cI_{{\text{p}}} \left[ {\left[ {\alpha \left( {a - bp} \right)\left( {1 - \beta } \right)\left( {T - M} \right)} \right]^{{\frac{2 - \beta }{{1 - \beta }}}} } \right]}}{{\alpha \left( {a - bp} \right)\left( {2 - \beta } \right)}}} \right] \\ \end{aligned}$$
$$g\left( T \right) = T$$

If \(f^{\prime\prime}\left( T \right) < 0\), then by using the theoretical result in (10.14) it can be proved that \({\text{TP}}_{1} \left( {p,T} \right)\) is a strictly pseudo-concave function in \(T\), which completes the proof of Part (1). The proof of Part (2) and Part (3) follows immediately from the proof of Part (1) of Theorem 1.

Appendix 2

Similar to Appendix 1.

Appendix 3

Since \({\text{TP}}_{1} \left( {p,T} \right)\) is a strictly pseudo-concave function in \(T\), we know that \(\frac{{\partial {\text{TP}}_{1} \left( {p,T} \right)}}{\partial T}\) is a decreasing function in \(T\). If \(\Delta > 0\), then \(\mathop {\lim }\limits_{T \to \infty } \frac{{\partial {\text{TP}}_{1} \left( {p,T} \right)}}{\partial T} < 0\).

By applying mean value theorem, we know that there exists a unique \(T_{1}^{*} \in \left( {M,\infty } \right)\) such that \(\frac{{\partial {\text{TP}}_{1} \left( {p,T} \right)}}{\partial T} = 0\). By this, we complete the proof of \(\Delta > 0\). Similarly, other theorems of Theorem 5 can be proved.

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumari, M., Narang, P., De, P.K., Chakraborty, A.K. (2023). Optimization of an Inventory Model with Demand Dependent on Selling Price and Stock, Nonlinear Holding Cost Along with Trade Credit Policy. In: Gunasekaran, A., Sharma, J.K., Kar, S. (eds) Applications of Operational Research in Business and Industries. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-19-8012-1_10

Download citation

Publish with us

Policies and ethics