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      <namePart>Patel, Mihir Prakashbhai</namePart>
   </name>
   <titleInfo>
      <title>Automated Successive Baseline Schedule Model</title>
   </titleInfo>
   <originInfo>
      <dateCreated keyDate="yes">2021</dateCreated>
   </originInfo>
   <note displayLabel="Degree Awarded">Spring 2021</note>
   <typeOfResource authority="aat" valueURI="http://vocab.getty.edu/page/aat/300028029">Thesis</typeOfResource>
   <name type="corporate">
      <affiliation>Illinois Institute of Technology</affiliation>
   </name>
   <name type="corporate">
      <namePart>CAEE / Civil, Architectural, and Environmental Engineering</namePart>
   </name>
   <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q90460429">
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      </role>
      <namePart>Arditi, David</namePart>
   </name>
   <subject>
      <topic>Civil engineering</topic>
   </subject>
   <subject>
      <topic>Automate Schedule Application</topic>
   </subject>
   <subject>
      <topic>Automate Schedule Model</topic>
   </subject>
   <subject>
      <topic>Construction Scheduling</topic>
   </subject>
   <subject>
      <topic>Delay Analysis</topic>
   </subject>
   <subject>
      <topic>Forensic Scheduling Model</topic>
   </subject>
   <subject>
      <topic>SBS Delay Analysis Model</topic>
   </subject>
   <language>
      <languageTerm type="code" authority="rfc3066">en</languageTerm>
   </language>
   <abstract>The construction project involves many stakeholders and diverse phases. Usually, a construction schedule is initially set up as a simple ideal case scenario, but then, during construction, the project faces modifications such as delay, acceleration, and change in logic caused by the project’s complexity and inherent risk. To recover the damage(s) caused by these modifications, the parties responsible for them should be identified accurately. Researchers and practitioners developed and used various delay analysis models to quantify delays, but the selection of the model depends on the time of analysis, available information, and expertise of the analyst. So, the results can be biased. The general problem is that most delay analysis models consider only delays in quantifying impacts rather than every type of modification that impacted the project, including CPM logic changes and adding/removing activities during construction. This study proposes a new successive baseline model to enable the precise analysis of the impacts of all sorts of modifications that occur during construction. This model can achieve unbiased and accurate results. The analysis process can also be computerized into a web application to improve efficiency and productivity. The fundamental concepts of the various modifications that can occur in the work schedule during construction and the analysis of the modifications’ impacts are presented in this study. Issues related to concurrency, float ownership, type of modification, selection of delay analysis model, and challenges with automation are also highlighted to broaden the understanding disagreements of the parties to a construction contract. A case example is presented to prove the accuracy and usefulness of the proposed model and web application.
</abstract>
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   <accessCondition type="restrictionOnAccess">Restricted Access</accessCondition>
   <note type="embargo">Embargo Until: 02/02/2024</note>
<identifier type="hdl">http://hdl.handle.net/10560/islandora:1024925</identifier></mods>