Nowadays, abundant cities, in the way that Jeddah, have a significant number of projects in various sites. As a result, there is an necessary need to implement a comprehensive and entirely integrated Project Management Solution (using the Primavera Enterprise series) that includes all projects now under construction or recently awarded in a single concentrated database. The unification of Primavera data in the dimensional database is required in this place context. This projected solution will assist Stakeholders in correctly allocating staff to check the risks predicted to complete the project according to schedule and within the supposed budget. In this sense, the significance concerning this research, which is aimed at uncovering a cutting-edge IT resolution that automates all Enterprise Project Management System procedures and conventions and offers linkage to geographic news systems programs ArcGIS to mold conventional project administration data output and reports into news within a terrestrial/location framework. Thus, visualizing project management output like uninterrupted/Gantt charts and/or tabular projects had connection with work status, comments, and flags and befriending this information in the presence of maps and layouts. The present study presents a comprehensive unification solution to solve a link and a connection between attribute dossier coming from EPMS Primavera(P6) and Geographic relating to space data (neighborhood) by using GIS software., geotechnical, geophysical, and field surveys, directing on specific extents and not spending exertion and time in useless neighborhoods.
Author(s) Details:
A. M. Abdel-Wahab,
Civil Engineering Department, National Research Centre, Egypt.
O. M. Malek,
Department of Civil Engineering, Higher Technological Institute, 10th of Ramadan City, Egypt.
Please see the link here: https://stm.bookpi.org/TAIER-V9/article/view/9989
Keywords: Geographic Information System (GIS), Enterprise Project Management System (EPMS), Integration, attribute data Geographic spatial data