Abstract
This study investigates a joint pricing and ordering model with deteriorating items and partial backlogged shortages under trapezoidal demand. The optimization model aiming at maximizing profit performance of inventory system is subject to a limited sales period and an allowable price range, simultaneously. The existence and uniqueness of the optimal solution to the model is further given by applying differential calculus. The easy-to-use line search algorithm is designed to determine the optimal replenishment strategies including ordering quantity, the maximum inventory level, selling price, and shortage time point. Finally, numerical examples are presented to demonstrate the proposed model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lin, K.: An extended inventory models with trapezoidal type demands. Appl. Math. Comput. 219, 11414–11419 (2013)
Cheng, M., Zhang, B., Wang, G.: Optimal policy for deteriorating items with trapezoidal type demand and partial backlogging. Appl. Math. Model. 35, 3552–3560 (2011)
Cheng, M., Wang, G.: A note on the inventory model for deteriorating items with trapezoidal type demand rate. Comput. Ind. Eng. 56, 1296–1300 (2009)
Micheal, K., Rochford, L., Wotruba, T.: How new product introductions affect sales management strategy: the impact of type of newness of the new product. J. Prod. Innov. Manag. 20, 270–283 (2003)
Glock, C., Grosse, H.: Decision support models for production ramp-up: a systematic literature review. Int. J. Prod. Res. 53(21–22), 6637–6651 (2015)
Shah, N., Shah, D., Patel, D.: Optimal transfer, ordering and payment policies for joint supplier-buyer inventory model with price-sensitive trapezoidal demand and net credit. Int. J. Syst. Sci. 46(9–12), 1752–1761 (2015)
Singh, N., Vaish, B., Singh, S.: An EOQ model with pareto distribution for deterioration, trapezoidal type demand and backlogging under trade credit policy. IUP J. Comput. Math. 3(4), 30–53 (2010)
Uthayakumar, R., Rameswari, M.: An economic production quantity model for defective items with trapezoidal type demand rate. J. Optim. Theor. Appl. 154, 1055–1079 (2012)
Khan, M.A., Shaikh, A.A., Panda, G.C., Taleizadehe, A.A.: Inventory system with expiration date: pricing and replenishment decisions. Comput. Ind. Eng. 132, 232–247 (2019)
Maihami, R., Kamalabadi, I.N.: Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand. Int. J. Prod. Econ. 136, 116–122 (2012)
Dye, C.Y., Chang, H.J., Teng, J.T.: A deteriorating inventory model with time-varying demand and shortage-dependent partial backlogging. Eur. J. Oper. Res. 172, 417–429 (2006)
Teng, J., Chern, M., Yang, H.: An optimal recursive method for various inventory replenishment models with increasing demand and shortages. Nav. Res. Logist. 44, 791–806 (1997)
Yang, H., Teng, J., Chern, M.: Deterministic inventory lot-size models under inflation with shortages and deterioration for fluctuating demand. Nav. Res. Logist. 44(2), 144–158 (2001)
Abad, P.L.: Optimal price and order size under partial backordering incorporating shortage, backorder and lost sale costs. Int. J. Prod. Econ. 114, 179–186 (2008)
Abad, P.L.: Optimal pricing and lot sizing under conditions of perishability and partial backlogging. Manage. Sci. 42, 1093–1104 (1996)
Dye, C.: Joint pricing and ordering policy for a deteriorating inventory with partial backlogging. Omega 35(2), 184–189 (2007)
Zhou, Y., Lau, H., Yang, S.: A new variable production scheduling strategy for deteriorating items with time-varying demand and partial lost sale. Comput. Oper. Res. 30, 1753–1776 (2003)
Ghosh, S.K., Khanra, S., Chaudhuri, K.S.: Optimal price and lot size determination for a perishable product under conditions of finite production, partial backordering and lost sale. Appl. Math. Comput. 217, 6047–6053 (2011)
Khan, M.A., Shaikh, A.A., Panda, G.C., Taleizadehe, A.A.: Inventory system with expiration date: pricing and replenishment decisions. Comput. Ind. Eng. 132, 232–247 (2019)
Lashgari, M., Taleizadeh, A.A., Sadjadi, S.: Ordering policies for non-instantaneous deteriorating items under hybrid partial prepayment, partial delay payment and partial backordering. J. Oper. Res. Soc. 69, 1167–1196 (2018)
Salehi, H., Taleizadeh, A.A., Tavakkoli-Moghaddam, R.: An EOQ model with random disruptions and partial backordering. Int. J. Prod. Res. 54, 2600–2609 (2016)
Taleizadeh, A.A.: A constrained integrated imperfect manufacturing-inventory system with preventive maintenance and partial backordering. Ann. Oper. Res. 261, 303–337 (2018)
Taleizadeh, A.A., Khanbaglo, M.P.S., Barrón, C., Eduardo, L.: An EOQ inventory model with partial backordering and reparation of imperfect products. Int. J. Prod. Econ. 182, 418–434 (2016)
Xu, Y., Bisi, A., Dada, M.: A finite-horizon inventory system with partial backorders and inventory holdback. Oper. Res. Lett. 45(4), 315–322 (2017)
Xu, C., Zhao, D., Min, J., Hao, J.: An inventory model for nonperishable items with warehouse mode selection and partial backlogging under trapezoidaltype demand. J. Oper. Res. Soc. 72(4), 744–763 (2021)
Acknowledgements
This study was supported by Research Program of Tianjin Municipal Education Commission (No. 2017KJ242).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Xu, C., Bai, M., Wang, Q., Wang, Y. (2022). An Inventory System Optimization for Solving Joint Pricing and Ordering Problem with Trapezoidal Demand and Partial Backlogged Shortages in a Limited Sales Period. In: Du, DZ., Du, D., Wu, C., Xu, D. (eds) Theory and Applications of Models of Computation. TAMC 2022. Lecture Notes in Computer Science, vol 13571. Springer, Cham. https://doi.org/10.1007/978-3-031-20350-3_29
Download citation
DOI: https://doi.org/10.1007/978-3-031-20350-3_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20349-7
Online ISBN: 978-3-031-20350-3
eBook Packages: Computer ScienceComputer Science (R0)