Indian Journal of Science and Technology
Year: 2024, Volume: 17, Issue: 26, Pages: 2763-2777
Original Article
Anshu Sharma1∗, Sumeet Gill2, Anil Kumar Taneja3
1Research Scholar, Department of Mathematics, Maharshi Dayanand University, Rohtak, Haryana, India
2Professor, Department of Mathematics, Maharshi Dayanand University, Rohtak, Haryana, India
3Department of Mathematics, Sh. L. N. Hindu College, Rohtak, Haryana, India
*Corresponding Author
Email: [email protected]
Received Date:08 March 2024, Accepted Date:17 June 2024, Published Date:06 July 2024
Objectives: To develop a mathematical model for cost minimization by examining a scenario involving a seasonal product retail market, evaluating the outcome, and providing solutions to unanswered queries of existing models are the highlights of this present work. Methods: 1. Using dynamic differential equations with initial and boundary conditions, we mathematically model a retail market scenario for perishable commodities and determine the retailer's total cost. 2. We consider a quadratic function of time to precisely describe the maintenance cost and demand function. Also, a combination of cash and advance payment schemes is implemented in our model. 3. Our model was numerically formulated using a dataset deduced from earlier research. We have included a sensitivity analysis and a numerical example with a graphical depiction of the total cost function that highlights the most and least influential factors. 4. Based on the Hessian matrix condition and the calculus derivative approach, we developed an algorithm to calculate the optimal cost. Findings: This model provides retailers with insights for effective stock management while optimizing the cost of retailing perishable commodities with non-linear demand patterns. Sensitivity analysis showed that the two factors that have the biggest impact on retailers' overall costs are non-linear demand and holding cost parameters. The smaller optimal inventory cycle time and the large value of time at which a shortage happens raise the overall cost. Additionally, because of higher demand, the time-dependent deterioration rate has the least impact on overall cost. Additionally, a three-dimensional graph of cost minimization is offered to illustrate the convexity of total cost. Novelty: Implementation of Quadratic time-dependent demand and non-linear holding costs under a mixed cash advance payment structure, along with time-dependent deterioration and partial backlog shortages.
Keywords: Quadratic Demand pattern, Noninstantaneous decay rate, Cash and Advance Payment scheme, Partial Backlog Shortages
© 2024 Sharma et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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