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Dissertation/Thesis Abstract

Evaluating Change Orders by Unforeseen Existing Conditions in Renovation Building Construction Projects
by Miller, James A., M.S., California State University, Long Beach, 2019, 70; 13860144
Abstract (Summary)

A thorough examination of a building that is to undergo a renovation project requires time, money, or costly equipment. Existing conditions within the floors, walls, and ceiling of a structure are therefore not sufficiently examined prior to construction. Older buildings also typically do not have as-builts or construction drawings from when it was originally built. From research and field experience, unforeseen existing conditions that are not properly surveyed lead to unexpected costs and/or schedule impacts. If the cost or schedule impacts are not properly accounted for, they negatively impact the client or the general contractor. Change orders caused by unforeseen existing conditions are analyzed in this thesis. The objective of this thesis is to analyze change order data related to renovation projects and show comparisons of the relationships between divisions to help quantify and anticipate cost impacts due to unforeseen conditions. This thesis represents a statistical analysis of 27 projects and a total of 517 change orders from commercial renovation projects in California. The results of this thesis contribute to the research of change orders by highlighting the significance of the cost impacts of change orders caused by unforeseen existing conditions in renovation projects. Statistical analysis shows that this type of change order is at least equal to change orders from other causes. The change orders are also separated by division to compare frequency and mean cost, and solutions are proposed.

Indexing (document details)
Advisor: Kim, Joseph
Commitee: Balali, Vahid, Hong, Jin Gi
School: California State University, Long Beach
Department: Civil Engineering
School Location: United States -- California
Source: MAI 81/1(E), Masters Abstracts International
Subjects: Engineering
Keywords: Analysis, Change, Conditions, Construction, Existing, Statistical
Publication Number: 13860144
ISBN: 9781085556705
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