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An Application of PSO to Study Joint Policies of an Inventory Model with Demand Sensitive to Trade Credit and Selling Price While Deterioration of Item Being Controlled Using Preventive Technique

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Soft Computing in Inventory Management

Part of the book series: Inventory Optimization ((IO))

Abstract

This article contributes a joint inventory model for single deteriorating item with acceptable delay in payment. Effect of deterioration is considered and it is controlled by making an appropriate investment in preservation technology. The retailer gets credit period from the manufacturer with a deal to share portion of profit during this term and settle the accounts at the end of it. To boost the sales retailer permits credit period to a fraction of customers. To investigate the scenario mathematical model has been developed representing different cases. The corresponding problem is a nonlinear constrained optimization problem which is optimized by deploying Particle Swarm Optimization (PSO) algorithm. The objective is to cleverly decide unit selling price with suitable investment for preventive measures, cycle time and extended credit period; which maximizes the total profit. Lastly, to authenticate the model examples are presented and to examine the inventory parameters sensitivity analysis is carried out.

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Mishra, P., Shaikh, A., Talati, I. (2021). An Application of PSO to Study Joint Policies of an Inventory Model with Demand Sensitive to Trade Credit and Selling Price While Deterioration of Item Being Controlled Using Preventive Technique. In: Shah, N.H., Mittal, M. (eds) Soft Computing in Inventory Management. Inventory Optimization. Springer, Singapore. https://doi.org/10.1007/978-981-16-2156-7_2

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