4 research outputs found
Using mobility information to perform a feasibility study and the evaluation of spatio-temporal energy demanded by an electric taxi fleet
Half of the global population already lives in urban areas, facing to the problem of air pollution mainly caused by the transportation system. The recently worsening of urban air quality has a direct impact on the human health. Replacing today’s internal combustion engine vehicles with electric ones in public fleets could provide a deep impact on the air quality in the cities. In this paper, real mobility information is used as decision support for the taxi fleet manager to promote the adoption of electric taxi cabs in the city of San Francisco, USA. Firstly, mobility characteristics and energy requirements of a single taxi are analyzed. Then, the results are generalized to all vehicles from the taxi fleet. An electrificability rate of the taxi fleet is generated, providing information about the number of current trips that could be performed by electric taxis without modifying the current driver mobility patterns. The analysis results reveal that 75.2% of the current taxis could be replaced by electric vehicles, considering a current standard battery capacity (24–30 kWh). This value can increase significantly (to 100%), taking into account the evolution of the price and capacity of the batteries installed in the last models of electric vehicles that are coming to the market. The economic analysis shows that the purchasing costs of an electric taxi are bigger than conventional one. However, fuel, maintenance and repair costs are much lower. Using the expected energy consumption information evaluated in this study, the total spatio-temporal demand of electric energy required to recharge the electric fleet is also calculated, allowing identifying optimal location of charging infrastructure based on realistic routing patterns. This information could also be used by the distribution system operator to identify possible reinforcement actions in the electric grid in order to promote introducing electric vehicles
Research on IT tools used in flow planning in supply chains
The processes of globalization and increased competitiveness caused that the company have begun to look for solutions and strategies that give opportunities for development and further market expansion. The intensification of competition on the global scale in the 1980s, forced companies to offer low cost, high quality and robust products with greater design flexibility. Various management concepts have been used to improve production efficiency and speed up the cycle. In the 1990s, many manufacturers and service providers began to focus on improving collaboration with suppliers and improving purchasing and supply management. Initially the cooperation was mainly developed in the area of purchasing policies and supply management in factories, but as time went on, it became increasingly popular among wholesalers and retailers who also decided to integrate their transport and logistics functions in a supply chain with a view to gain competitive advantage (Choon T.). The increase in customer requirements with the same pressures to reduce costs and accelerate time service delivery resulted in the growing importance of planning and anticipation of future events. The increasing amount of data makes management depended on systems that allow for rapid decision-making. Apart from ERP systems, which mainly support the management of individual businesses, more and more companies invest in systems APS (Advanced Planning System), which provide better support in planning processes throughout the supply chain. The aim of the article is to present the idea of advanced supply chain planning, constraints and challenges facing the managing the flow of products and information. The study also addressed the role of Advanced Planning Systems in supply chain management and identify main problems and obstacles that users and decision makers come across while implementing and using IT system
Presupuesto y proyectos de inversión pública en el sector educación en una gerencia sub regional de Cajamarca, periodo 2020-2022.
Esta investigación tiene como objetivo general determinar la relación que existe
entre el presupuesto y proyectos de inversión pública en el sector educación de una
Gerencia Sub Regional de Cajamarca, periodo 2020-2022. Tiene una metodología
tipo básica, con un enfoque cuantitativo, transversal en el tiempo, con diseño no
experimental con naturaleza descriptiva correlacional, presenta una población de
110, se aplicó la técnica de la encuesta mediante un cuestionario con 19 ítems en
relación a la variable Presupuesto y 25 ítems con respecto a la variable Proyectos
de inversión pública. Los resultados fueron gracias a la aplicación de la estadística
descriptiva que se dieron a conocer en figuras y tablas, así como la estadística
inferencial para comprobar las hipótesis mediante el método de Spearman
mediante el cual se afirma que las variables de estudio tienen relación directa y
significativa ya que el nivel de significancia que se encontró es 0,000 < 0, 05 y el
Coeficiente de correlación de Spearman calculado es de 0,995 afirmando también
que el grado de correlación es alto
Software package applications for designing rail freight interchanges
Ph.D. ThesisRail freight transport has a crucial role to play in the economy,
delivering significant reductions in logistics costs, pollution, and congestion.
Typically, the conventional architecture and layout of the rail freight
interchange constrain the capacity and performance of the whole railway
system. A well-designed rail freight interchange can enhance the system
performance by maximizing vehicle usage and minimizing last mile
distribution cost. Therefore, the study of rail freight interchange operation is
considered crucial to understand how to increase and improve the
attractiveness for rail freight transport.
This thesis uses game engines to develop software packages that are
used for the design of new rail freight interchanges, considering multistakeholder decisions drivers. A novel and modular approach has been
applied with the purpose of developing and deploying simulation tools that can
be used by multiple stakeholders to:
-Understand the impact of multiple-criteria decision analysis on rail
freight interchange layouts;
-Use a genetic algorithm to identify the most suitable components of
the future interchange to be designed, considering the multi-stakeholders’
priorities;
- Quickly enable the design of a wide variety of rail freight interchanges
from the information selected by a decision maker in a computer-based userfriendly interface.
This research has proposed a framework for software development.
Three case studies are used to illustrate adaptability of a number of
applications for different scenarios. The findings of the research contribute to
a better understanding of the impacts of the multiple stakeholder’s decisions
on rail freight interchange designs.
Key words: Rail Freight Interchanges, Multi stakeholders decision,
genetic algorith