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Skip to Search Results- 2Construction Projects
- 2Deep Learning
- 2Forecasting
- 1Analytical Model for Consultant Evaluation
- 1Artificial Intelligence
- 1Artificial neural network
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Fall 2024
Laura Portugal, Cristhian Felix
Accurate forecasting of project duration is crucial during the execution phase as it affects its overall performance, timely decision-making, identification of potential delays, and resource allocation. This research proposes a proof of concept based on artificial intelligence, specifically using...
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A Deep Learning Approach for Forecasting Cost Estimate at Completion (EAC) in Construction Projects
DownloadFall 2024
Inaccurate cost forecasting is a significant issue that can lead to potential budget overruns, cash flow problems, poor stakeholder relationships, and financial losses for construction execution companies. To improve cost forecasting accuracy, this research proposes a deep-learning framework...
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Fall 2020
This research involves the development of a forecasting model that will aid project managers in estimating the owner’s project management staff requirements for a construction project utilizing historical data. This will support project managers in the decisions of hiring new resources or working...
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A systematic and objective approach for evaluating performance and selecting subcontractors in construction projects
DownloadFall 2024
The management of the contractor-subcontractor relationship is a pivotal component of supply chain management in the construction industry, significantly impacting project success. This thesis explores approaches to assess performance of subcontractor, select the best subcontractor and the...
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Decision Support System for Consultant Evaluation and Ranking using Qualifications-Based Selection and Fuzzy TOPSIS Approach
DownloadFall 2021
Consultant evaluation and selection is a subjective process due to the qualitative nature of evaluation criteria. A thorough evaluation that includes all the necessary criteria should be conducted. A suitable procurement method for determining proficient consultants was found to be...