https://hdl.handle.net/10259/4210 2026-05-11T23:39:36Z 2026-05-11T23:39:36Z Díaz de la Fuente, Silvia Ahedo García, Virginia Alonso Abad, Mª Pilar Galán Ordax, José Manuel https://hdl.handle.net/10259/7931 2024-04-30T11:00:35Z 2022-01-01T00:00:00Z

El impacto del Camino de Santiago en el ámbito académico: análisis de las tesis doctorales jacobeas en España Díaz de la Fuente, Silvia; Ahedo García, Virginia; Alonso Abad, Mª Pilar; Galán Ordax, José Manuel Este trabajo presenta un estudio inicial sobre el impacto del Camino de Santiago en la literatura científica, más específicamente, en las tesis doctorales. En concreto, se aporta un análisis descriptivo de los datos más significativos de todas aquellas tesis doctorales que guardan alguna relación con el Camino de Santiago y que han sido defendidas en España hasta finales del año 2021. En particular, los datos considerados incluyen el momento y lugar de defensa de cada tesis, así como sus descriptores temáticos —códigos UNESCO—. Para la recopilación de estos datos se ha consultado la base de datos TESEO, el repositorio del Ministerio de Educación, Cultura y Deporte en el que se almacenan todas las tesis doctorales españolas. Trabajo presentado en VII Jornadas de Doctorandos de la Universidad de Burgos, abril de 2022, Burgos.

2022-01-01T00:00:00Z Acebes, Fernando Pajares Gutiérrez, Javier Galán Ordax, José Manuel López Paredes, Adolfo https://hdl.handle.net/10259/4213 2021-11-02T12:04:25Z 2014-03-01T00:00:00Z

Exploring the influence of seasonal uncertainty in project risk management Acebes, Fernando; Pajares Gutiérrez, Javier; Galán Ordax, José Manuel; López Paredes, Adolfo For years, many research studies have focused on programming projects, assuming a deterministic environment and complete task information. However, during the project performance, schedule may be subject to uncertainty which can lead to significant modifications. This fact has led to an increasing scientific literature in the field. In this article we consider the presence of an uncertainty of seasonal type (e.g. meteorological) that affects some of the activities that comprise the project. We discuss how the project risk can be affected by such uncertainty, depending on the start date of the project. By means of Monte Carlo simulation, we compute the statistical distribution functions of project duration at the end of the project. Then, we represent the variability of the project through the so-called Project Risk Baseline. In addition, we examine various sensitivity metrics - Criticality, Cruciality, Schedule Sensitivity Index -. We use them to prioritize each one of the activities of the project depending on its start date. In the last part of the study we demonstrate the relative importance of project tasks must consider a combined version of these three sensitivity measures. 27th IPMA World Congress

2014-03-01T00:00:00Z Acebes, Fernando Pajares Gutiérrez, Javier Galán Ordax, José Manuel López Paredes, Adolfo https://hdl.handle.net/10259/4211 2021-11-02T12:04:24Z 2013-03-01T00:00:00Z

Beyond earned value management: a graphical framework for integrated cost, schedule and risk monitoring Acebes, Fernando; Pajares Gutiérrez, Javier; Galán Ordax, José Manuel; López Paredes, Adolfo In this paper, we propose an innovative and simple graphical framework for project control and monitoring, to integrate the dimensions of project cost and schedule with risk management, therefore extending the Earned Value methodology (EVM). EVM allows Project managers to know whether the project has overruns (over-costs and/or delays), but project managers do not know when deviations from planned values are so important that corrective actions should be taken or, in case of good performance, sources of improvement can be detected. From the concept of project planned variability, we build a graphical methodology to know when a project remains “out of control” or “within expected variability” during the project lifecycle. To this aim, we define and represent new control indexes and new cumulative buffers. Five areas in the chart represent five different possible project states. To implement this framework, project managers only need the data provided by EVM traditional analysis and Monte-Carlo simulation. We also explore the sensitivity of the methodology to control variables. 26th IPMA World Congress. 2012, Crete, Greece,

2013-03-01T00:00:00Z