An Efficient Inventory Model-Based GA For Food Deterioration Products In The Tourism Industry

Qusay H. Al-Salami; Rabeea Kh. Saleh; Ammar F. J. Al-Bazi

doi:10.1590/0101-7438.2022.042.00257447

An Efficient Inventory Model-Based GA For Food Deterioration Products In The Tourism Industry

Qusay H. Al-Salami, Rabeea Kh. Saleh, Ammar F. J. Al-Bazi

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

122 Downloads (Pure)

Abstract

Background:
The inventory control practice of deteriorating food products that are subject to an expiration date is a challenging process. Inappropriate inventory control practice leads to substantial waste of products and significant holding and purchasing costs.

Purpose:
This paper aims to develop an inventory control model-based Genetic Algorithm (GA) to minimize the Total Annual Inventory Cost (TAIC) function developed explicitly for the proposed model.

Methodology:
GA is used and tailored to provide the best reorder level of deteriorating food products. A case study of one of the five-star hotels in Iraq is conducted, followed by a sensitivity analysis study to validate the proposed model for varying reorder levels.

Results and Conclusion:
A minimum inventory cost is obtained with an optimum reorder level achieved by running GA. It is concluded that the optimal reorder level provided by the proposed GA minimized the monthly inventory cost of products.

Original language	English
Article number	257747
Number of pages	26
Journal	Pesquisa Operacional
Volume	42
DOIs	https://doi.org/10.1590/0101-7438.2022.042.00257447
Publication status	Published - 26 Aug 2022

Bibliographical note

This is an open-access article distributed under the terms of the Creative Commons Attribution License.

Keywords

deteriorating food products
genetic algorithms
inventory control

ASJC Scopus subject areas

Management Science and Operations Research

Access to Document

10.1590/0101-7438.2022.042.00257447Licence: CC BY

PublishedFinal published version, 614 KBLicence: CC BY

Cite this

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abstract = "Background:The inventory control practice of deteriorating food products that are subject to an expiration date is a challenging process. Inappropriate inventory control practice leads to substantial waste of products and significant holding and purchasing costs.Purpose:This paper aims to develop an inventory control model-based Genetic Algorithm (GA) to minimize the Total Annual Inventory Cost (TAIC) function developed explicitly for the proposed model.Methodology:GA is used and tailored to provide the best reorder level of deteriorating food products. A case study of one of the five-star hotels in Iraq is conducted, followed by a sensitivity analysis study to validate the proposed model for varying reorder levels.Results and Conclusion:A minimum inventory cost is obtained with an optimum reorder level achieved by running GA. It is concluded that the optimal reorder level provided by the proposed GA minimized the monthly inventory cost of products.",

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An Efficient Inventory Model-Based GA For Food Deterioration Products In The Tourism Industry

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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