Economic Order Quantity for Growing Items with Mortality Function under Sustainable Green Breeding Policy

Author:

Nobil Amir Hossein1ORCID,Nobil Erfan1,Cárdenas-Barrón Leopoldo Eduardo1ORCID,Garza-Núñez Dagoberto1,Treviño-Garza Gerardo1ORCID,Céspedes-Mota Armando1ORCID,Loera-Hernández Imelda de Jesús1ORCID,Smith Neale R.1

Affiliation:

1. Tecnológico de Monterrey, School of Engineering and Sciences, E. Garza Sada 2501 Sur, Monterrey 64849, Mexico

Abstract

Determining the optimal slaughter age of fast-growing animals regarding the mortality rates and breeding costs plays an important and major role for companies that benefit from their meat. Additionally, the effects of carbon dioxide (CO2) emissions during the growth cycle of animals are a significant concern for governments. This study proposes an economic order quantity (EOQ) for growing items with a mortality function under a sustainable green breeding policy. It assumes that CO2 production is a practical polynomial function that depends on the age of the animals as well as the mortality function. The aim of the model is to determine the optimal slaughter age and the optimal number of newborn chicks, purchased from the supplier, to minimize the total costs. We propose an analytical approach, with five simple steps, to find the optimal solutions. Finally, we provide a numerical example and some model management insights to help practitioners in this area.

Funder

Tecnológico de Monterrey

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference39 articles.

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5. Optimal decision-making for a single-stage manufacturing system with rework options;Nobil;Int. J. Syst. Sci. Oper. Logist.,2020

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