Project

Math AmSud DEMOSDUM - "Design and Model of an Optimal System for Urban Freight Distribution for critical and heterogeneous Km2 in Guayaquil and Quito cities in Ecuador"

Goal: The goal of the research project is to develop a dynamic and sustainable model that
determines the optimal system for urban management and load distribution for critical and
heterogeneous Km2 in Guayaquil and Quito cities, and at the same time, to find the urban
areas of influence to improve load management through minimization of logistics costs,
transportation time, etc.

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Project log

Fabio Lopez-Pires
added a research item
Current trends of urbanization and growing economies bring with them rising levels of city logistic challenges. In this context, city governments should consider new strategies to deal with such problems. Already-known strategies employed by providers, such as distribution schemes of products with classic approaches should include more holistic perspectives. For example, lack of coordination between providers executing their individual schedules may cause further problems in a city as well as in providers operations (e.g. traffic congestion, pollution, distribution time or even costs) mainly if they consider only single-level distribution schemes. In this work, several key decisions that governments should perform to implement holistic approaches for last-mile operations in city logistics based on multi-objective and multi-level distribution solutions are summarized, including experiences and considering approaches on related projects in Latin America. These decisions include data collection, objective function and constraints selection, suitable resolution techniques and administrative or legal issues.
Fabio Lopez-Pires
added a research item
This work presents a novel two-echelon, multi-product, Green Location-Routing Problem formulation from a city government perspective, for the optimization of five objective functions, two of them related to pollutant emissions minimization. Additionally, it is demonstrated that the use of city distribution centers (CDCs), compared to direct shipping, is a better strategy for a congested city as Asunción in Paraguay. Initial experimental results using an exhaustive search alternative prove an 8-23% reduction of carbon monoxide (CO) emissions, a 6-22% reduction of carbon dioxide (CO2) emissions and an 8-17% reduction in shipping costs, given an initial investment in CDCs.
Benjamin Baran
added a research item
Current trends of urbanization and growing economies bring with them rising levels of traffic congestion and city governments must recur to new strategies to deal with such problems. Multi-level distribution is an already-known strategy employed by businesses, and the classic formulation of the Two-Echelon Vehicle Routing Problem (2E-VRP) reflects the perspective of a single provider, without regarding the routing decisions of other parties. 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. Additionally, the various stakeholders (government, businesses, residents) may have conflicting objectives. The main contribution of this paper is a first-time multi-objective formulation of the multi-provider (or multi-commodity) heterogeneous vehicle 2E-VRP, from a city government perspective within an Urban Goods Movement context, demonstrating with didactic examples the potential benefit of this approach to all parties involved, simultaneously considering potentially conflicting objectives.
Benjamin Baran
added an update
Benjamin Baran
added an update
 
Benjamin Baran
added a project goal
The goal of the research project is to develop a dynamic and sustainable model that
determines the optimal system for urban management and load distribution for critical and
heterogeneous Km2 in Guayaquil and Quito cities, and at the same time, to find the urban
areas of influence to improve load management through minimization of logistics costs,
transportation time, etc.