Title: An inventory model with hybrid time-stock dependent demand for seasonal products with trade credit policy

Authors: Prokash Mondal; Sudhansu Khanra; Pritha Das

Addresses: Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah – 711103, West Bengal, India ' Department of Mathematics, Tamralipta Mahavidyalaya, Purba Medinipur, West Bengal, India ' Department of Mathematics, Indian Institute of Engineering Science and Technology, Shibpur, Howrah – 711103, West Bengal, India

Abstract: This study examines an EOQ model with a hybrid time- and stock-dependent demand function for a seasonal product context of shortages. In several marketing strategies that have a strong connection to stock - time and stock both play a crucial role in customer decision-making - vendors always entice customers to buy more by displaying many products. This investigation aims to present the best inventory management technique for perishable products with hybrid demand that is time- and stock-dependent under partial backlog with a trade credit policy. The provided EOQ model is validated using a numerical illustration. Finally, sensitivity analysis has been employed to examine the effects of changes in the values of system factors using MATLAB software (Version 2014a).

Keywords: inventory; time-stock dependent demand; partial backlogging; deterioration; trade credit policy.

DOI: 10.1504/IJMOR.2025.148074

International Journal of Mathematics in Operational Research, 2025 Vol.31 No.4, pp.435 - 464

Received: 08 Jul 2023
Accepted: 18 Jul 2023
Published online: 25 Aug 2025 *

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