On Some Theoretic Inventory Control for Oblique Transference Via EOQ Probabilistic Model

Verma, Rohit Kumar and Mamita, . (2023) On Some Theoretic Inventory Control for Oblique Transference Via EOQ Probabilistic Model. Journal of Advances in Mathematics and Computer Science, 38 (10). pp. 78-86. ISSN 2456-9968

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Abstract

Experts think organizational inventories hold a significant portion of total business capital. As a result, a more thorough and thoughtful analysis of the inventory problem enables firms to best utilize all of their resources for increased efficiency and effectiveness. In turn, this might assist organizations in achieving their objectives. This paper develops an inventory model for stochastic deteriorating conditions and broad discounts. While other factors were treated as deterministic, degradation was analyzed as a stochastic variable. We can use a variety of initiatives to cut costs and improve competitiveness in the face of the increasingly fierce competition. The business in this article faces significant pressure from customer cost pass-through. The main concerns should be how to organize manufacturing properly, manage inventory, and lower production costs. When developing ideas, buying materials, manufacturing items, and selling them to customers with after-sale services, manufacturing companies work off of market or client demand. Inventory management is a valued function for all firms. the main purpose of the inventory management department is to control the materials from the acquisition to sale, taking decisions of how much and when to buy the items avoiding excess or unplanned stockout. The shortages are legal, and some items are completely backordered. Some theoretical conclusions are drawn in order to maximize the anticipated total profit per unit of time, and using these conclusions, a practical and efficient solution method is created. It is crucial to note that the algorithm creates the best possible order quantity and backordering quantity solutions.

Item Type: Article
Subjects: STM Library > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 02 Oct 2023 05:20
Last Modified: 02 Oct 2023 05:20
URI: http://open.journal4submit.com/id/eprint/2725

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