Andrés Felipe Rey

PhD Candidate

Andrés Felipe Rey hat im September 2022 sein PhD-Studium an der Kühne Logistics University unter der Betreuung von Prof. Dr. Johannes Meuer und Prof. Dr. Gordon Wilmsmeier begonnen. In seiner Doktorarbeit beschäftigt er sich mit der Dekarbonisierung des Straßengüterverkehrs in Schwellenländern. 

Bevor er das PhD-Programm an der KLU aufnahm, erwarb Andrés einen Master of Science in Wirtschaftsingenieurwesen an der ICESI-Universität mit einem Zertifikat im Bereich Supply Chain Management vom Massachusetts Institute of Technology (MIT) sowie einen Bachelor of Science in Maschinenbau an der Nationalen Universität von Kolumbien. Während seines Bachelorstudiums verbrachte Andrés ein Auslandsjahr an der Technischen Universität Wien (TUWIEN) in Österreich. Zuvor forschte Andrés bei Giro Zero zur Dekarbonisierung des Güterverkehrs in Kolumbien.

Davor sammelte er 17 Jahre Erfahrung im Bereich Lieferketten. In der Privatwirtschaft war er als Leiter von Betriebs- und Umsetzungsprojekten in der Lieferkette in Ländern wie Kolumbien, Panama, Mexiko und Venezuela tätig. Im öffentlichen Sektor hat er Erfahrung als Seniorberater für das Nationale Planungsamt (DNP) bei der Interamerikanischen Entwicklungsbank (IDB) sowie als Berater und Projektmitarbeiter für multilaterale Banken wie die Weltbank für Bolivien, die IDB für Peru, die CAF für Panama und ICLEI für Kolumbien.

Academic Positions

Since 2022PhD Candidate, Kühne Logistics University, Hamburg, Germany
Since 2021Research Associate, Cardiff University, Cardiff, United Kingdom & Universidad de Los Andes, Bogotá, Colombia
2016Assistant Lecturer, ICESI University, Cali, Colombia

Education

Since 2022PhD Candidate, Kühne Logistics University, Hamburg, Germany
2013 - 2014Global Certificate of Supply Chain Management, Massachusetts Institute of Technology, Boston, MA, USA
2010 - 2013Master of Science in Industrial Engineering, ICESI University, Cali, Colombia
1999 - 2004Bachelor of Science in Mechanical Engineering, National University of Colombia, Bogotá, Colombia

Professional Experience

2020 - 2021         Freelance Consulting, Imetrica for Multilateral Organizations, IBD, WB-IFC, ICLEI and CAF Latin American Development Bank, Cali, Colombia
2017 - 2019Senior Consultant for Logistics and Transportation at the National Planning Department, Government of Colombia, Bogotá, Colombia
2015 - 2017Co-Founder & Manager, Cargaya, Cali, Colombia
2010 - 2015Operations Manager, Solistica (Femsa Logística), Colombia, Panama, Venezuela and Mexico
2005 - 2009Specialist Planning of Transportation, Coca-Cola Femsa, Bogotá, Colombia

Publikationen

Abstract

The Colombian road freight transport sector is a major contributor to greenhouse gas (GHG) emissions and plays a critical role in achieving the country’s net-zero target by 2050. While technological solutions such as vehicle electrification and alternative fuels are essential, substantial mitigation potential also lies in improving operational efficiency. A persistent source of inefficiency is the prevalence of empty trips, cargo-free freight movements that increase logistics costs, reduce fleet utilisation, and generate avoidable emissions.
This study addresses empty trips from a national, system-level planning perspective by introducing a spatio-temporal synchronisation model that identifies opportunities to coordinate independent freight movements travelling in opposite directions based on temporal and spatial compatibility. By relying on aggregated information rather than firm-level routing optimisation, the model enables scalable coordination across the freight network without requiring centralised control.
Two algorithms were developed to estimate current empty-trip rates from observed trip sequences and the minimum achievable rate under ideal synchronisation. Applied to more than 7.99 million trips from Colombia’s National Freight Registry, the results indicate that synchronisation could reduce empty kilometres by up to 39.34% for light and medium-duty vehicles and 37.37% for heavy-duty vehicles, corresponding to an estimated annual reduction of 130,470 tons of CO2e.
The study also introduces the concept of structural residual empty trip revenue (SRETR) to assess the economic potential of empty trips that remain unavoidable under optimal coordination. These insights support policymakers in prioritising interventions, addressing regional freight imbalances, and integrating operational efficiency measures into national decarbonisation strategies.

Abstract

This study introduces a simulation-based analysis of the decarbonization options for the road freight transport sector. It focuses on exploring the impact of operational and management measures on fleet renewal strategies aimed at achieving net zero goals by 2050. The proposed approach integrates current and planned future policy changes, operational practices, and technology renewal into the modeling process to offer a macro-level perspective on the decarbonization challenge. Specifically, the proposed modeling approach takes into account the reduction of empty trips, the optimization of cargo consolidation, and the promotion of eco-driving practices based on national freight transport data (i.e. covering more than 7.99 million trips). The proposed approach examines the effect of introducing contemporary vehicle technologies, such as new diesel vehicles (EURO VI or higher), new natural gas vehicles (EURO VI or higher), electric vehicles and hydrogen vehicles, as feasible replacements for aging vehicles powered by conventional fossil fuels. The adoption of these cleaner and newer technologies demonstrates the potential for emission reductions of up to 13% (2,070,000 tons CO2e) by 2030 and 47% (13,232,000 tons CO2e) by 2050. In addition, the results obtained from this research can serve as an exemplary case study for other emerging economies.