Issue |
RAIRO-Oper. Res.
Volume 56, Number 4, July-August 2022
|
|
---|---|---|
Page(s) | 2903 - 2917 | |
DOI | https://doi.org/10.1051/ro/2022135 | |
Published online | 30 August 2022 |
Effect of credit financing on the supply chain for imperfect growing items
Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, India
* Corresponding author: mittal_mandeep@yahoo.com; mmittal@amity.edu
Received:
4
October
2021
Accepted:
28
July
2022
Several EOQ models have developed over time to guarantee that the appropriate quantity of inventory is ordered in every batch, so that a firm does not have to place orders too frequently or have an excess of inventory on hand. Inventory management, or the inspection of the ordering, storing, and utilization of a company’s inventory, necessitates the use of EOQ models. This paper aims at developing an EOQ model when the supplier offers the trade credit policy to the buyer, for a particular class of items that is, growing items. However, it is not always necessary for all goods to be of perfect quality. There may also be some defective goods. Keeping this in mind, a wide-ranging scientific model has been intended, followed by a specific numerical model which is represented with the help of numerical examples. Sensitivity research is presented to assess the influence of the model’s key factors taking into consideration it’s decision variables and the objective function.
Mathematics Subject Classification: 90B06
Key words: Growing items / imperfect quality / poultry / credit financing
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.