Mathematics (Feb 2023)

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

  • Amir Hossein Nobil,
  • Erfan Nobil,
  • Leopoldo Eduardo Cárdenas-Barrón,
  • Dagoberto Garza-Núñez,
  • Gerardo Treviño-Garza,
  • Armando Céspedes-Mota,
  • Imelda de Jesús Loera-Hernández,
  • Neale R. Smith

DOI
https://doi.org/10.3390/math11041039
Journal volume & issue
Vol. 11, no. 4
p. 1039

Abstract

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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.

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