| Title |
A Study on Change Orders in Overseas Construction using Feature Selection - Focus on Plant Construction in the Middle East - |
| Authors |
Hong, Sunyoung ; Yeom, Chunho |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2021.22.2.063 |
| Keywords |
Change Order; Machine Learning; Feature Selection; Overseas Construction; Project Management |
| Abstract |
This paper looks into how to enhance construction project management, focusing on the change order, which is often considered one of the major causes for construction delays, disputes, and claims in the middle east construction. First, this paper categorizes the major causes of change orders. It suggests a detailed classification standard for affecting factors resulting from change orders based on a case study result of an on-going construction project in the Middle East. In particular, this paper presents a method to apply a machine learning-based feature selection to quantify the importance of change order triggers and affecting factors. As a result, the case study identifies six major change order triggers and eight affecting factors. Also, a meaningful relationship between change order triggers and affecting factors by each category is presented. This paper will contribute to setting a clear guideline for change order management for the international plant construction field while helping prevent construction delays and cost run-ups by reducing the time required for change order resolution between project owners and contractors. |