Abstract

Delay is quite common in the construction project. A time overrun in any activity or operation affects the completion of the work, resulting in disagreements and lawsuits. As a result, it's critical to investigate and assess the causes of construction delays. This dissertation focuses on the investigation of key elements that makes delay and the analysis of day-to-day records to reduce delays. To solve this problem, we induced the collection of daily data on-site work, such as starting and finishing time, completed task, etc. These data are recorded in MS Project, which distinguishes between task and critical activity and the delays caused and reasons for the delays. The data were evaluated with MS Project, and the priority of the delay was predicted with SPSS software based on a ranking system.

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