Title: ENHANCING CONSTRUCTION PROJECT MANAGEMENT USING SMART WEB BASED APPLICATION

Biography:

Salahuddin has B.Sc. Civil Engineering July 1995. From University of AL-ANBAR – Anbar –Iraq . and complete his study in University of ISRA – Amman –Jordan to get   M.Sc. Engineering projects management Jan. 2015, Qualified Civil Engineer with more than 19 years of diversified work experience in the construction domain. Full understanding of the complete construction cycle starting from tendering to finalization closing of account. Possesses track record of completing civil projects in Iraq & Jordan.  He has one published paper.  

Abstract

Construction project is one of the most sophisticated types of projects which include group of tasks that should be combined to achieve an object. Coordination between them needs to make sort of connection between management for materials, and management for information. Information and communication technology (ICT) is one of the most flexible type of technology which is suitable for any type of project even construction projects. Using smart web-based software is a Unique and innovative solution for management problems generally. In construction sites there are several factors affecting use ICT.to solve it a new software package proposed to improve management process in case study ( small construction project), this smart technology aimed to serve basic element of management (cost, time, and quality) and decrease barriers facing ICT implementation in construction projects. The mechanism of work for the software build according levels of authority for users, the software itself build by simple and available technology. Comparing the results obtained with the opinions of experts gave close results that encourage the adoption of the software as an assistant solution for senior management to make sound decisions. The acceptance of results and Its adoption as a reliable source of decisions will open the horizon for a new management style, determining KPI (key of performance indicator) makes projects management meet global requirements and makes mining in database of projects as a default and smart solution to discover hidden information helps project manager to be more accurate in his orders.