Operations Research 2025
Abstract Submission

226. Optimization-Based Feed Logistics and Silo Management for Sustainable Livestock Farming

Invited abstract in session WE-10: Flow Lines and Fairness Considerations, stream Supply Chain Management and Production.

Wednesday, 16:30-18:00
Room: H16

Authors (first author is the speaker)

1. Xiaoyi Gu
IKAP-Abteilung Integrierte Produkt- und Prozessentwicklung, BIBA - Bremer Institut für Produktion und Logistik GmbH
2. Dennis Bode
BIBA - Bremer Institut für Produktion und Logistik GmbH
3. Jan-Hendrik Ohlendorf

Abstract

Efficient feed logistics and silo management represent essential elements of sustainable livestock farming and modern agricultural supply chain systems. This study proposes a Mixed-Integer Linear Programming (MILP)-based optimization model designed to automate decision-making processes in feed supply chains. By incorporating real-time data from farm management systems, the model generates optimized delivery schedules aimed at minimizing transportation inefficiencies while maintaining continuous feed availability. The formulation accounts for critical operational constraints, including the maintenance of predefined silo buffer levels, adherence to feed sequencing requirements, optimal utilization of truck compartments, and preparations for aligning production activities with off-peak energy periods. To support practical implementation, a web-based decision-support system is developed, offering interactive visualizations and real-time planning functionalities. Results from initial pilot customers indicate that using the proposed method for automatic ordering achieves slightly better truck load efficiency compared to manual ordering. This improvement can help reduce transportation costs, enhance feed distribution efficiency, and lower energy consumption.These findings underscore the relevance of operations research methodologies in advancing the efficiency, sustainability, and resilience of agricultural production and supply chain management.

Keywords

Status: accepted

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