An EOQ model for deteriorating items analyzing retailer’s optimal strategy under trade credit and return policy with nonlinear demand and resalable returns
DOI:
https://doi.org/10.11121/ijocta.2022.1025Keywords:
Inventory, Trade credit policy, Resalable returns, Deteriorating item, Refund.Abstract
This paper presents an EOQ model where demand is dependent upon time and selling price. In the proposed model of inventory, the retailer allows its unsatisfied customers to return their product whereas the manufacturer offers a full trade credit policy to the retailer. To make our model realistic, we have assumed that the product returned can be resold with the same selling price. Number of returns is a function of demand. In this proposed inventory model considering deterioration, the retailer does not fully reimburse its customers for the returned product. The primary purpose of this inventory model is to determine the optimal selling price, optimal order quantity, and optimal replenishment cycle length in order to maximize the retailer’s total profit earned per unit time. A numerical example is also presented and a sensitivity analysis is carried to highlight the findings of the suggested inventory model.
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References
Bechwati, N.N., Siegal, W.S. (2005). The impact of the pre-choice process on product returns. J. Market. Res., 42(3), 358–367. DOI: https://doi.org/10.1509/jmkr.2005.42.3.358
Gentry, C.R. (1999). Reducing cost of returns. Chain store Age, 75, 124-126.
Mostard, J., Teunter, R., Koster, R.D. (2005). The distribution-free newsboy problem with resalable returns. International Journal of Production Economics, 97, 329-342. DOI: https://doi.org/10.1016/j.ijpe.2004.09.003
Palmquist, M. (2015). The unexpected benefits of product returns. Available from ?http://www.strategy-business.com/blog/The-Unexpected-Benefits-of-Product-Returns?gko=b80 8b?. Accessed 18 november 2020.
Boyd, E., Bahn, K.D. (2014). Information and its impact on consumer's reaction to restrictive return policies. Journal of Retailing and Consumer Services, 21, 415-423. DOI: https://doi.org/10.1016/j.jretconser.2014.03.002
Harris, L.C. (2010). Fraudulent consumer returns: exploiting retailer's return policies. Eur. J. Marketing, 44(6), 730–747. DOI: https://doi.org/10.1108/03090561011032694
Harris, L.C. (2008). Fraudulent return proclivity: an empirical analysis. J. Retailing, 84(4), 461-476. DOI: https://doi.org/10.1016/j.jretai.2008.09.003
Yao, D.Q., Yue, X., Wang, X., Liu, J.J. (2005). The impact of information sharing on a returns policy with the addition of a direct channel. International Journal of Production Economics, 97(2), 196-209. DOI: https://doi.org/10.1016/j.ijpe.2004.08.006
Petersen, J.A., Kumar, V. (2009). Are product returns a necessary evil? Antecedents and consequences. J. Market., 73(3), 35–51. DOI: https://doi.org/10.1509/jmkg.73.3.35
Janakiraman, N., Syrdal, H.A., Freling, R. (2016). The effect of return policy leniency on consumer purchase and return decisions: a meta-analytic review. J. Retail., 92(2), 226-235. DOI: https://doi.org/10.1016/j.jretai.2015.11.002
Khouja, M., Ajjan, H., Liu, X. (2019). The effect of return and price adjustment policies on a retailer's performance. European Journal of Operations Research, 276, 466-482. DOI: https://doi.org/10.1016/j.ejor.2019.01.021
Wang, K.H., Tung, C.T., & Lee, Y.J. (2010). EOQ model for deteriorating items with resalable returns. Journal of information and Optimization Sciences, 31(1), 189-204. DOI: https://doi.org/10.1080/02522667.2010.10699953
Ghoreishi, M., Mirzazadeh, A., & Weber, G.W. (2014). Optimal pricing and ordering policy for non-instantaneous deteriorating items under inflation and customer returns. Optimization, 63(12), 1785-1804. DOI: https://doi.org/10.1080/02331934.2013.853059
Al-Salamah, M., Alsawafy, O. (2011). Economic order quantity for items with two types of imperfect quality. An International Journal of Optimization and Control: Theories and Applications, 2(1), 73-82. DOI: https://doi.org/10.11121/ijocta.01.2012.0082
Ekren, B.Y., Arslan, B. (2020). Simulation based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network. An International Journal of Optimization and Control: Theories and Applications, 10(1), 9-16. DOI: https://doi.org/10.11121/ijocta.01.2020.00789
Gurkan, M.E., Tunc, H. (2021). A fix-and-optimize heuristic for the capacitated multi-item stochastic lot-sizing problem. An International Journal of Optimization and Control: Theories and Applications, 11(1), 41-51. DOI: https://doi.org/10.11121/ijocta.01.2021.00945
Uddin, F.M., Sano, K. (2012). Coordination and optimization: the integrated supply chain analysis with non-linear price-sensitive demand. An International Journal of Optimization and Control: Theories and Applications, 2(1), 83-94. DOI: https://doi.org/10.11121/ijocta.01.2012.0070
Mahata, G.C. (2012). An EPQ-based inventory model for exponentially deteriorating items under retailer partial trade credit policy in supply chain. Expert Syst. Appl., 39(3), 3537–3550. DOI: https://doi.org/10.1016/j.eswa.2011.09.044
Min, J., Zhou, Y. W., Liu, G. Q., & Wang, S. D. (2012). An EPQ model for deteriorating items with inventory-level-dependent demand and permissible delay in payments. International Journal of Systems Science, 43(6), 1039–1053. DOI: https://doi.org/10.1080/00207721.2012.659685
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