Optimizing Broiler Chicken Supply Chains Under Uncertain Average Growth Rate Acceleration

Effective planning of the broiler chicken production chain heavily relies on a comprehensive understanding of the factors influencing growth and final carcass weight. The broiler chicken supply chain includes various stages, from breeders to retailers. This study analyzes the impact of growth uncertainty in broiler chickens by considering aspects of maintenance management, feed consumption, mortality rates, productivity, and market demand scenarios. The research method uses a two-stage stochastic program and Mixed Integer Linear Programming (MILP) to optimize lot-sizing and lot-allocation in the broiler chicken supply chain planning. MILP is applied to maximize the efficiency and responsiveness of lot-sizing and lot-allocation to market demand. Two-stage stochastic modeling allows for the separation of long-term and short-term decisions, enabling adjustments based on uncertain conditions. By simulating various production scenarios, potential issues and improvement opportunities within the supply chain can be identified. Production data is analyzed to ensure that the size and weight of broiler chickens meet market specifications and demands, thereby enhancing customer satisfaction and operational efficiency. The implementation of an integrated broiler chicken supply chain is believed to improve production and distribution efficiency, enabling the fulfillment of market demand at optimal costs. By ensuring this alignment, the research contributes to increased customer satisfaction and operational efficiency. Meeting market specifications not only improves product quality but also strengthens the company's competitive position in the market. Higher operational efficiency is also achieved through more effective reductions in production and distribution costs.