Study of memory effect in an inventory model for deteriorating items with partial backlogging. (October 2020)

• Record Type: Journal Article
• Authors: Pakhira, Rituparna; Sarkar, Susmita; Ghosh, Uttam
• Is Part Of: Computers & industrial engineering. Volume 148(2020)
• Publication Date: 2020-10
• Subjects: Differential equation with memory kernel -- Classical or integer order inventory model -- Fractional order or memory dependent inventory model with Mittag-Leffler type demand rate; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2020.106705
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: Memory dependent EOQ model via Caputo type fractional order derivative. Effect of past experience has been incorporated in the EOQ model through fractional calculus. The associated costs are produced by using fractional order integration. Primal geometric programming method has been used to solve the memory dependent EOQ. Existence of differential and integral memory index have established here. The shortage start time plays critical role in controlling the total average cost. Abstract: A generalization of the economic order quantity (EOQ) model is taken into account to study the memory effect in the inventory model. Fractional calculus is one of the efficient medium to establish the existence of memory effect in the economic system. This paper deals with a system of two fractional order differential equations to govern the fractional order EOQ model with partial backlogging. The fractional order differential equation is considered here in Caputo sense. The theory of memory kernel is applied to set up the memory dependent EOQ model. Using primal geometric programming method, analytical solution of the proposed problem is found. Using empirical values of the system parameters, we have established the concept of short and long memory effect. It is clear from the investigations that the strength of memory can be controlled by the order of fractional derivative or integration. Sensitivity analysis has been carried out for long memory and short memory affected problem both to identify the important model parameters for different situations. Finally, the manuscript is concluded with some recommendation about the memory dependent EOQ model.