Eburu Evans Chukwuebuka, student at the Institute of Radio Electronics and Information Technology – RTF, Ural Federal University named after the first President of Russia B.N. Yeltsin
Balungu Daniel Musafiri, PhD student, Assistant at the Basic Department of Big Data Analytics and Video Analysis Methods, Institute of Radio Electronics and Information Technology, Ural Federal University named after the first President of Russia B.N. Yeltsin
Abstract
This study develops a Discrete Event Simulation model to analyze a municipal meat production system spanning six production stages from crop cultivation to distribution. The model was constructed in AnyLogic 8.9.6 representing crop production, feed milling, livestock fattening, slaughtering, meat processing, and distribution. Baseline simulation over 365 days achieved throughput of 40 entities per year with average cycle time of 274.5 days. Resource utilization analysis identified feed mills at 75% and animal farms at 74% as primary bottlenecks, while downstream resources showed severe underutilization at 1-2%. Three scenarios tested increased demand, resource investment, and supply disruption. The increased demand scenario achieved zero throughput improvement despite 50% higher input. Resource investment with 60% more feed mills and 50% more animal farms achieved 50% throughput improvement. Supply disruption-maintained baseline throughput through inventory buffering. Results provide quantitative support for municipal capacity planning decisions.
KEYWORDS: discrete event simulation, municipal production systems, bottleneck analysis, resource optimization, capacity planning, supply chain management, food security.
Download article DISCRETE EVENT SIMULATION OF MUNICIPAL MEAT PRODUCTION SYSTEM: BOTTLENECK ANALYSIS AND OPTIMIZATION
