16321

14561

كارشناسي ارشد

بهينه سازي سيستم ها

اصفهان : دانشگاه صنعتي اصفهان

1399

[هشت]، 65ص.: مصور، جدول، نمودار

مهدي خاشعي

بهروز ارباب شيراني، محسن شهرياري

1399/12/05

كتابنامه

مهندسي صنايع

مهندسي صنايع و سيستم ها

1399/12/06

2674453

Implementation of statistical and intelligent predictive models in the field of earned value management of projects for improving project duration accuracy Sina Shahamatjoo Sina shahamatjoo@in iut ac ir Date of Submission Department of Industrial Engineering Isfahan University of Technology Isfahan 64156 63111 Iran Degree M Sc Language Persian Supervisor Dr mehdi khashei khashei@cc iut ac ir Abstract The ability to predict the time and cost of project implementation has become one of the most important issues in the field of project management over the years Forecasting takes place before the project is completed and at the time of the contract In fact based on past information about similar projects the time and budget of the project is determined The other part of the forecast happens during project execution In fact based on project progress and deviation from planned progress It is possible to predict the actual time and cost of completion of the work with more accuracy and better quality In this dissertation statistical intelligent and intelligent statistical hybrid models will be implemented to improve the accuracy of predicting the project completion time before the start of the project Keywords Earned Value Management Forecasting Statistical Forecasting Models Intelligent ForecastingModels and Combined Statistical Models Intelligent Forecasting

مهدي خاشعي

بهروز ارباب شيراني، محسن شهرياري