Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Fen Bilimleri Enstitüsü, Türkiye
Tezin Onay Tarihi: 2019
Tezin Dili: İngilizce
Öğrenci: ERAY AKGÜN
Danışman: Güzide Atasoy Özcan
Özet:
Today,
construction sector is one of the leading sectors in the world employing
millions of people and creating an economy of billions of dollars. Therefore,
such a huge sector must be under control during its all stages in terms of its
main components namely; cost, time and quality to achieve a unique scope.
Numerous studies focus on tracking the components of cost and schedule. One of
the most commonly used methods is EVM (Earned Value Management). EVM is a
powerful progress measurement method, integrating cost, schedule and scope
successfully. However, the EVM method lacks one of the major components of the
iron triangle, namely the quality component. Thus, this study aims to develop a
framework which enables “Quality integrated Earned Value Method (QEVM)”. With
the integration of quality to EVM, an extendible, elaborate, and practical
quality tracking system is proposed. In the literature, several valuable
studies focused on the quality or performance included Earned Value Management,
in recent years; however, the proposed systems show significant differences in
terms of the employed key performance indicators, benchmarks, quality scoring
methods and visualization of the QEV. Hence, there is a need to compare these
systems and identify the areas of modification and improvement in order to
propose a QEVM framework that is practical, extendible, and elaborate for
different stakeholders/tasks, integrating the “quality cost” and “productivity
of quality” concepts. In this study, after reviewing and analyzing literature
in terms of QEVM requirements and components, quality tracking checklist forms
were improved, quality cost and quality productivity concepts were explored.
Framework components were identified for different level of details of
stakeholders/tasks, quality scoring methods were compared, and value functions
were derived to determine the relationship of productivity of quality and cost.
Four case studies on two different projects were executed to develop and verify
the components of the framework. As a result of this study, a quality embedded
EVM framework was suggested. The results of this study can be used to pave the
way for more sophisticated and software-integrated applications and future
studies