An efficient inventory model-based GA for food deterioration products in the tourism industry


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.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: Publisher Copyright: © 2022 Brazilian Operations Research Society.
Uncontrolled Keywords: deteriorating food products,genetic algorithms,inventory control,Management Science and Operations Research
Publication ISSN: 0101-7438
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... xXSVQgHxX33Zqy/ (Publisher URL)
PURE Output Type: Article
Published Date: 2022-08-26
Accepted Date: 2022-06-12
Authors: Al-Salami, Qusay H.
Saleh, Rabeea Kh
Al-Bazi, Ammar F.J. (ORCID Profile 0000-0002-5057-4171)



Version: Published Version

License: Creative Commons Attribution

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