Computational Analysis of Inventory Model for Non- Instantaneous Deterioration following Weibull Distribution with Quadratic Demand using Preservation Technology

In this study, two different inventory models for products with quadratic demand that deteriorate slowly according to a Weibull distribution are presented and computationally analyzed. The first model investigates the conventional method without using preservation technologies while second model uses preservation technologies to lessen the consequences of deterioration. Comparing the overall inventory expenses of each model is the goal, with an emphasis on how much money can be saved by incorporating preservation technologies into inventory management procedures. The study shows, using analytical techniques and numerical simulations, that the preservation technology model effectively lowers overall costs by increasing the shelf-life of inventory items and reducing the adverse financial impact of product deterioration. The investigation verifies that spending money on preservation technologies improves inventory sustainability by cutting waste and lowers overall inventory expenditures. The present study offers significant perspectives for enterprises seeking to enhance their inventory management tactics. It highlights the concrete advantages of utilizing preservation technology to handle declining products in a demand-sensitive setting.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-12-11
DOI
https://doi.org/10.52783/anvi.v28.2715
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Computational Analysis of Inventory Model for Non- Instantaneous Deterioration following Weibull Distribution with Quadratic Demand using Preservation Technology

Khyati Khyati
Advances in Nonlinear Variational Inequalities
Forecasting Techniques and Applications
article

Computational Analysis of Inventory Model for Non- Instantaneous Deterioration following Weibull Distribution with Quadratic Demand using Preservation Technology

Khyati Khyati
article en

Abstract

In this study, two different inventory models for products with quadratic demand that deteriorate slowly according to a Weibull distribution are presented and computationally analyzed. The first model investigates the conventional method without using preservation technologies while second model uses preservation technologies to lessen the consequences of deterioration. Comparing the overall inventory expenses of each model is the goal, with an emphasis on how much money can be saved by incorporating preservation technologies into inventory management procedures. The study shows, using analytical techniques and numerical simulations, that the preservation technology model effectively lowers overall costs by increasing the shelf-life of inventory items and reducing the adverse financial impact of product deterioration. The investigation verifies that spending money on preservation technologies improves inventory sustainability by cutting waste and lowers overall inventory expenditures. The present study offers significant perspectives for enterprises seeking to enhance their inventory management tactics. It highlights the concrete advantages of utilizing preservation technology to handle declining products in a demand-sensitive setting.

Advances in Nonlinear Variational InequalitiesVol. 28(2s)
Openalex Percentile: Top 68%
Forecasting Techniques and Applications
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