Optimizing a Distribution Network for Agri-food Products in Algeria Using AnyLogistix Software

Abstract

Within Cevital, a prominent Algerian agri-food group, increasing demand has resulted in recurrent shortages at several Regional Distribution Centers (RDCs). To address this issue, Cevital has initiated efforts to enhance its distribution network by implementing new storage platforms. This study utilizes Green Fields Analysis (GFA) to optimize the distribution of agri-food products within Cevital, determining the ideal number and strategic locations for these platforms. Using AnyLogistix software, simulations were conducted to model actual product deliveries and generate real-time Key Performance Indicators (KPIs). The primary goal is to support Cevital’s decision-makers in establishing an efficient network configuration that reduces transportation costs, meets customer demand promptly, and minimizes CO2 emissions. Scenario analysis indicates that integrating two new storage platforms achieves the best balance in achieving these objectives while maintaining consistent product availability. These findings provide valuable insights for strategically optimizing Cevital’s distribution network.

Keywords

• supply chain design
• simulation
• anylogistix®
• green fields analysis