A Fuzzy Earned Value Method Based On Quality Factor

With the rapid development of the global economy, the projects develop toward the complexity, diversity, intensity, and standard of the project people is increasingly strict, various of project management techniques are applied in practical engineering, where earned value method is most widely used in the joint cost and schedule control, but there are still shortcomings and deficiencies in the traditional earned value method, which seriously affects the use of our projects.As projects become more complex, which results more in uncertainty factors, traditional management can no longer meets the needs of practical project needs, so this paper proposes a fuzzy theory to analyze the uncertainty problem of earned value project. Fuzzy earned value theory uses fuzzy language to describe the project schedule and cost, and it transforms the fuzzy language into fuzzy value (?)=, -, which can be used to calculate the fuzzy earned value, and thus to control the project process and cost.Cost, schedule and quality of project management have been the three dominating and complementary control objectives, which are inseparable. Traditional earned value method is the joint control method of cost and schedule, without considering quality factors, while quality has a great impact on cost and schedule, therefore the quality earned values should be established based on fuzzy earned value. quality evaluation factors are established and given different weights according to project characteristics and quality requirements, project quality index QI and level are determined through the evaluation of the finished work in order to estimate the quality earned value QEV, quality, schedule, cost deviation, and we select a reasonable method combining the cost, schedule and quality to forecast the project cost and completion time.Finally, quality, cost and schedule deviations results are analyzed, and the limits of allowable deviation, correction-needed deviation, uncorrectable deviation are calculated in this paper, in terms of the three objectives, the corresponding warning control system is established, providing the basis for the deviation warning, when the deviation detected reaches the warning limits, then there is a need to find the causes of deviations and ways to deal with them.