Optimization of Integrated Decisions in Supply, Production, and Distribution in the Broiler Chicken Supply Chain Considering Different Breeds of Chickens and their Casualty

The broiler chicken industry plays a vital role in ensuring food security and generating employment; however, it faces several challenges, including adequately meeting demand, managing mortality losses, and optimally selecting poultry breeds. The primary objective of this study is to develop an integrated mathematical model for analyzing a chicken meat supply chain that simultaneously optimizes breed selection, production planning, logistics management, and loss reduction. The proposed model is formulated as a mixed-integer linear programming (MILP) model, aiming to maximize the total profit of the network by considering revenues from the sale of chicken meat and poultry manure, as well as all procurement, production, and distribution costs. Various constraints are incorporated into the model, including supply, production, and distribution capacity limitations at different levels of the supply chain, meat demand satisfaction, and the restriction on raising more than one breed simultaneously. The model is solved using the GAMS software and data collected from reliable sources. The main limitation of the study is the difficulty in accessing fully accurate data due to the confidentiality of financial information of production units. The results demonstrate the effectiveness of the model in optimal resource allocation, breed mix selection (Ross and Cap breeds), and logistics network design. Moreover, sensitivity analysis conducted on key parameters confirms the robustness and reliability of the proposed model. By providing an integrated decision-making framework, this study offers an effective tool for managers and policymakers in the poultry industry to maximize productivity and profitability in a competitive environment.