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JORGE VARGAS FLOREZ

JORGE VARGAS FLOREZ

JORGE VARGAS FLOREZ

Docteur en Sytèmes Industrials, Ecole des mines d'Albi

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MAGISTER EN INGENIERIA INDUSTRIAL (ECOLE DES MINES DE NANTES)

Ingeniero Industrial
DOCENTE ORDINARIO - PRINCIPAL
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Industrial

Investigaciones

Se encontraron 21 investigaciones

2011 - 2015

Sistema Carpooling: Subete.pe

Crear un sistema para facilitar el compartimiento de vehiculos de transporte, para la comunidad universitaria.

Participantes:

Instituciones participantes:

  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - seccion industrial (Financiadora)
  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - seccion informatica (Financiadora)
  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - seccion ingenieria industrial (Financiadora)
  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - seccion ingenieria informatica (Financiadora)
  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - vicerectorado administrativo (Financiadora)
2021 - 2022

Towards a Lean Construction toolbox to improve social projects management

This work presents an original proposal Lean Construction toolbox to im-prove the processes related to social housing construction projects. It has ap-plied to housing projects dealing by a non-governmental organization, with operations in Lima extreme poverty zones. Proposals are estimated achieving reduce non-productive activities utilization labor work by 66%.

Participantes:

Instituciones participantes:

  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - - (Financiadora)
  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - Ingeniería Industrial (Financiadora)
2011 - 2012

Towards a method for qualitative and quantitative assessment of humanitarian disaster demand forecast

Humanitarian Supply Chains have received a lot of attention over the last fifteen years, and can now be considered a new research area. But a gap exists between the research work proposals and their application on the field. One of the main issues is that the demand, in case of humanitarian disaster, is particularly hard to assess because of the high level of uncertainty. Consequently, too many academic propositions are still purely theoretical. Gathering knowledge about future demand is thus of prime importance to be able to propose models, which are easy and relevant to implement for a real problem. This paper tackles this problematic by proposing a 2 steps methodology that be able to forecast roughly the future needs in terms of humanitarian relief operations. This contribution is based on simple regression and above all, on vulnerability ratio calculation. A numerical example based on the case of Peruvian earthquakes is finally presented.

Participantes:

  • JORGE VARGAS FLOREZ (Investigador principal)
  • AURELIE CHARLES (Co-Investigador)
  • MATTHIEU LAURAS (Co-Investigador)
  • LIONEL DUPONT (Co-Investigador)

Instituciones participantes:

  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - Departamento Académico de Ingeniería (Financiadora)
2012

Ubicación de almacenes para ayuda humanitaria posterior a un terremoto en una ciudad Latinoamericana

El presente artículo contempla la ubicación estratégica de los almacenes de logística humanitaria para los damnificados en caso de terremotos en Lima y Callao, Perú. Se identifica las zonas de alto riesgo por distrito dentro de la ciudad, luego se estima los daños causados por un terremoto de 8MM de intensidad y se determina el número de damnificados; luego, se calcula la capacidad de almacenamiento para atender a cada zona afectada y finalmente se realiza la ubicación óptima de los almacenes en las zonas seguras aledañas a las distritos más vulnerables. Se concluye que la ubicación óptima de los almacenes disminuye el tiempo de respuesta de ayuda a los damnificados para las horas posteriores al terremoto.

Participantes:

Instituciones participantes:

  • PONTIFICIA UNIVERSIDAD CATOLICA DEL PERU - Departamento Académico de Ingeniería (Financiadora)
2021 - 2022

Urban Logistics Resilience assessment for Freight Transport by simulating Disruptive Events

Resilience assessment on port road networks, under disruptive events, is a key issue related to urban logistics. This work tackle about an original simu-lation method to assess resilience using macro and micro simulation based on stochastic theory. The results allow knowing the resilience capacity of net-work. In this article, the most influential network links around influence produced by a logistics transport avenue in Lima-Peru are determined and for the resil-ience measurement a function that includes redundancy and robustness of the system is proposed as a performance measure

Participantes:

Instituciones participantes:

  • pontificia universidad catolica del peru - ingenieria industrial (Financiadora)
  • UNIVERSIDAD NACIONAL DE INGENIERIA - ingenieria civil (Financiadora)
  • universidad nacional de ingenieria - ingenieria civil (Financiadora)