TRANSPORTE, LOGISTICA, Y PRODUCCION INTELIGENTE

TRA2015-71883-REDT

Nombre agencia financiadora Ministerio de Economía y Competitividad
Acrónimo agencia financiadora MINECO
Programa Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia
Subprograma Subprograma Estatal de Generación del Conocimiento
Convocatoria Acciones de dinamización "Redes de Excelencia" (2015)
Año convocatoria 2015
Unidad de gestión Dirección General de Investigación Científica y Técnica
Centro beneficiario FUNDACIÓ PER A LA UNIVERSITAT OBERTA DE CATALUNYA (FUOC) / FUNDACIÓN PARA LA UNIVERSIDAD DE ABIERTA DE CATALUÑA (FUOC)
Centro realización INTERNET INTERDISCIPLINARY INSTITUTE (IN3)
Identificador persistente http://dx.doi.org/10.13039/501100003329

Publicaciones

Found(s) 3 result(s)
Found(s) 1 page(s)

Multi-Criteria Optimization for Fleet Size with Environmental Aspects

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
  • Sawik, Bartosz
  • Faulin, Javier
  • Pérez-Bernabeu, Elena
[EN] This research concerns multi-criteria vehicle routing problems. Mathematical models are formulated with mixed-integer programming. We consider maximization of capacity of truck vs. minimization of utilization of fuel, carbon emission and production of noise. The problems deal with green logistics for routes crossing the Western Pyrenees in Navarre, Basque Country and La Rioja, Spain.

We consider heterogeneous fleet of trucks. Different types of trucks have not only different capacities, but also require different amounts of fuel for operations. Consequently, the amount of carbon emission and noise vary as well. Companies planning delivery routes must consider the trade-off between the financial and environmental aspects of transportation. Efficiency of delivery routes is impacted by truck size and the possibility of dividing long delivery routes into smaller ones.

The results of computational experiments modeled after real data from a Spanish food distribution company are reported. Computational results based on formulated optimization models show some balance between fleet size, truck types, utilization of fuel, carbon emission and production of noise. As a result, the company could consider a mixture of trucks sizes and divided routes for smaller trucks. Analyses of obtained results could help logistics managers lead the initiative in environmental conservation by saving fuel and consequently minimizing pollution., This work has been partially supported by the National Research Center (NCN), Poland (DEC2013/11/B/ST8/04458),
by AGH, and by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-
C3-P and TRA2015-71883-REDT), and the Ibero-American Program for Science and Technology for Development
(CYTED2014-515RT0489). Likewise, we want to acknowledge the support received by the CAN Foundation in
Navarre, Spain (Grants CAN2014-3758 and CAN2015-70473). The authors are grateful to anonymous reviewers for
their comments.




Horizontal collaboration in freight transport: concepts, benefits and environmental challenges

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
  • Serrano-Hernandez, Adrian
  • Juan, Angel A.|||0000-0003-1392-1776
  • Faulin, Javier
  • Perez-Bernabeu, Elena
[EN] Since its appearance in the 1990s, horizontal collaboration (HC) practices have revealed themselves as catalyzers for optimizing the distribution of goods in freight transport logistics. After introducing the main concepts related to HC, this paper offers a literature review on the topic and provides a classification of best practices in HC. Then, the paper analyses the main benefits and optimization challenges associated with the use of HC at the strategic, tactical, and operational levels. Emerging trends such as the concept of ` green' or environmentally- friendly HC in freight transport logistics are also introduced. Finally, the paper discusses the need of using hybrid optimization methods, such as simheuristics and learnheuristics, in solving some of the previously identified challenges in real- life scenarios dominated by uncertainty and dynamic conditions., This work has been partially supported by the Spanish Ministry of Economy and Competitiveness & FEDER (TRA2013-48180-C3-P, TRA2015-71883-REDT), The Erasmus+ program (2016-1-ES01-KA108-023465), the Ibero American Program of Science and Technology for Development (CYTED2014-515RT-0489), the CAN Foundation (CAN2014-3758, CAN2015-70473), and the Spanish Ministry of Education (FPU-14/00024).




A Multicriteria Analysis for the Green VRP: A Case Discussion for the Distribution Problem of a Spanish Retailer

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
  • Sawik, Bartosz
  • Faulin, Javier
  • Pérez Bernabeu, Elena|||0000-0002-9221-7623
[EN] This research presents the group of green vehicle routing problems with environmental costs translated into money versus production of noise, pollution and fuel consumption. This research is focused on multi-objective green logistics optimization. Optimality criteria are environmental costs: minimization of amount of money paid as externality cost for noise, pollution and costs of fuel versus minimization of noise, pollution and fuel consumption themselves. Some mixed integer programming formulations of multi-criteria vehicle routing problems have been considered. Mathematical models were formulated under assumption of existence of asymmetric distance-based costs and use of homogeneous fleet. The exact solution methods are applied for finding optimal solutions. The software used to solve these models is the CPLEX solver with AMPL programming language. The researchers were able to use real data from a Spanish company of groceries. Problems deal with green logistics for routes crossing the Spanish regions of Navarre, Basque Country and La Rioja. Analyses of obtained results could help logistics managers to lead the initiative in area of green logistics by saving money paid for environmental costs as well as direct cost of fuel and minimization of pollution and noise., This work has been partially supported by the National Research Center (NCN), Poland (DEC-2013/11/B/ST8/04458), by AGH, and by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P and TRA2015-71883-REDT), and the Ibero-American Program for Science and Technology for Development (CYTED2014-515RT0489). Likewise, we want to acknowledge the support received by the CAN Foundation in Navarre, Spain (Grants CAN2014-3758 and CAN2015-70473)