An Inventory Model for Non-Instantaneously Deteriorating Items with Nonlinear Stock-Dependent Demand, Hybrid Payment Scheme and Partially Backlogged Shortages

Author:

Khan Md Al-AminORCID,Shaikh Ali AkbarORCID,Cárdenas-Barrón Leopoldo EduardoORCID,Mashud Abu Hashan MdORCID,Treviño-Garza Gerardo,Céspedes-Mota ArmandoORCID

Abstract

This research work presents an inventory model that involves non-instantaneous deterioration, nonlinear stock-dependent demand, and partially backlogged shortages by considering the length of the waiting time under a hybrid prepayment and cash-on-delivery scheme. The corresponding inventory problem is formulated as a nonlinear constraint optimization problem. The theoretical results for the unique optimal solution are presented, and eight special cases are also identified. Moreover, a salient theoretical result is provided: a certain condition where the optimal inventory policy may or may not involve deterioration. Finally, two numerical examples are provided using a sensitivity analysis to show the validity range of the inventory parameters.

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference42 articles.

1. How many parts to make at once. Factory;Harris;Mag. Manag.,1913

2. Industry Profile: Grocery Stores and Supermarkets,2013

3. A model for exponentially decaying inventory;Ghare;J. Ind. Eng.,1963

4. Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items

5. Non-instantaneous deterioration inventory model with price and stock dependent demand for fully backlogged shortages under inflation

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