Article
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Development of Cost and Schedule Data Integration Algorithm based on Big Data Technology
Version 1
: Received: 30 October 2020 / Approved: 30 October 2020 / Online: 30 October 2020 (15:35:00 CET)
How to cite: Cho, D.; Lee, M.; Shin, J. Development of Cost and Schedule Data Integration Algorithm based on Big Data Technology. Preprints 2020, 2020100650 Cho, D.; Lee, M.; Shin, J. Development of Cost and Schedule Data Integration Algorithm based on Big Data Technology. Preprints 2020, 2020100650
Abstract
In the information age today, data are getting more and more important. While other industries achieve tangible improvement by applying cutting edge information technology, the construction industry is still far from being enough. Cost, schedule, and performance control are three major functions in the project execution phase. Along with their individual importance, cost-schedule integration has been a significant challenge over the past five decades in the construction industry. Although a lot of efforts have been put into this development, there is no method used in construction practice. The purpose of this study is to propose a new method to integrate cost and schedule data using big data technology. The proposed algorithm is designed to provide data integrity and flexibility in the integration process, considerable time reduction on building and changing database, and practical use in a construction site. It is expected that the proposed method can transform the current way that field engineers regard information management as one of the troublesome tasks in a data-friendly way.
Keywords
big data; data integration; EVMS; construction management
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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