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Modelling City Logistics Scenarios in Ecuadorian Big Cities Based on Multi-Objective Two-Echelon Vehicle Routing Problems
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Author(s): Benjamin Baran (National University of Asuncion, Paraguay), Haiko Eitzen (National University of Asuncion, Germany), Fabio Lopez Pires (Itaipu Technological Park, Paraguay), Fernando Sandoya (ESPOL Polytechnic University, Ecuador & Universidad del Azuay, Ecuador)and Jorge Luis Chicaiza (Technical University Dortmund, Germany)
Copyright: 2019
Pages: 30
Source title:
Handbook of Research on Urban and Humanitarian Logistics
Source Author(s)/Editor(s): Jesus Gonzalez-Feliu (Ecole Nationale Superieure des Mines de Saint-Étienne, France), Mario Chong (Universidad del Pacifico, Peru), Jorge Vargas Florez (Pontificia Universidad Católica del Perú, Peru)and Julio Padilla Solis (Universidad de Lima, Peru)
DOI: 10.4018/978-1-5225-8160-4.ch004
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Abstract
Classic formulations of the two-echelon vehicle routing problem (2E-VRP) reflect the perspective of a single provider. The lack of coordination between providers executing their individual schedules and, consequently, the lack of a holistic approach to urban traffic may cause further problems. Various stakeholders may have conflicting objectives. This chapter presents a multi-objective formulation of a multi-provider heterogeneous vehicle 2E-VRP from a city government perspective, demonstrating the potential benefit of this approach to all parties involved, simultaneously considering conflicting objectives. Additionally, the design and development of a multi-objective evolutionary algorithm (MOEA) for the formulated problem is presented. An experimental evaluation considering real data from Ecuadorian cities is presented to validate the proposed MOEA, demonstrating that it is capable to find good quality solutions, is scalable, and its solutions are improved throughout its execution.
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