A fuzzy inventory model: stock dependent demand considering salvage value with deferred payments

This study explores the methods and strategies used in manufacturing to establish strong relationships with suppliers, customers, and other stakeholders. It specifically examines how allowing suppliers to delay payments helps retailers improve cash flow and allocate resources more effectively. The research proposes an inventory model for perishable goods, with demand determined by selling price and supply levels. A delayed payment plan is offered by manufacturers to retailers as a way to manage reimbursements for purchased goods. The study aims to identify the optimal selling price and replenishment cycle length that maximize retailer net profit. Additionally, the model incorporates cloud fuzzy numbers for cost parameters, using Yager's ranking index for defuzzification. The research highlights the significance of numerical examples in validating the model, as well as sensitivity analysis to evaluate how varying inputs impact the results. The study makes a unique contribution to the literature on salvage value and permissible delays in payment under fuzzy scenarios.