Affiliation:
1. West Pomeranian University of Technology, Faculty of Civil Engineering and Architecture, Aleja Piastów 50, 70-311Szczecin, Poland
Abstract
AbstractPlanning, controlling, monitoring progress are key management functions for effective implementation of construction projects. Commonly used instruments enabling performance of these functions include schedules and budgets, often in the form of a cost estimate. They are created at the initial planning stage to monitor and control cost and time deviations. Moreover, popular monitoring techniques are, for example, observation of milestones and comparative analysis of actual versus planned costs. This article presents a work progress control tool - the Earned Value Method (EVM) - which, despite its benefits, remains relatively unused in construction projects. The impact of the planning phase on the results obtained during the monitoring and control phase when utilizing EVM is discussed. This case study provides practical examples of using EVM in the implementation of construction projects and with the use of computer software. The novelty of the article results from the introduction of additional sensitivity analysis illustrating the impact of factors, such as an increase in costs or a change in delivery dates to the course of deviation curves. Use of sensitivity analysis in relation to the results of the CPI and SPI calculations affords combining control of costs and time with risk monitoring in the project. The findings reveal significant benefits in using EVM to implement construction projects but also highlight some important limitations.
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering,Environmental Engineering
Reference56 articles.
1. Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities;Automation in Construction,2019
2. Earned value project management: Improving the predictive power of planned value;International Journal of Project Management,2016
3. Project crashing using a fuzzy multi-objective model considering time;cost, quality and risk under fast tracking technique: A case study, Journal of Intelligent & Fuzzy Systems,2018
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