Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects

As is often the case in project scheduling, when the project duration is shortened to decrease total cost, the total float is lost resulting in added critical or nearly critical activities. This, in turn, results in decreasing the probability of completing the project on time and increases the risk...

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Main Authors: M. Ammar Alzarrad, Gary P. Moynihan, Muhammad T. Hatamleh, Siyuan Song
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2019/7852301
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author M. Ammar Alzarrad
Gary P. Moynihan
Muhammad T. Hatamleh
Siyuan Song
author_facet M. Ammar Alzarrad
Gary P. Moynihan
Muhammad T. Hatamleh
Siyuan Song
author_sort M. Ammar Alzarrad
collection DOAJ
description As is often the case in project scheduling, when the project duration is shortened to decrease total cost, the total float is lost resulting in added critical or nearly critical activities. This, in turn, results in decreasing the probability of completing the project on time and increases the risk of schedule delays. To solve this problem, this research developed a fuzzy multicriteria decision-making (FMCDM) model. The objective of this model is to help project managers improve their decisions regarding time-cost-risk trade-offs (TCRTO) in construction projects. In this model, an optimization algorithm based on fuzzy logic and analytic hierarchy process (AHP) has been used to analyze the time-cost-risk trade-off alternatives and select the best one based on selected criteria. The algorithm was implemented in the MATLAB software and applied to two case studies to verify and validate the presented model. The presented FMCDM model could help produce a more reliable schedule and mitigate the risk of projects running overbudget or behind schedule. Further, this model is a powerful decision-making instrument to help managers reduce uncertainties and improve the accuracy of time-cost-risk trade-offs. The presented FMCDM model employed fuzzy linguistic terms, which provide decision-makers with the opportunity to give their judgments as intervals comparing to fixed value judgments. In conclusion, the presented FMCDM model has high robustness, and it is an attractive alternative to the traditional methods to solve the time-cost-risk trade-off problem in construction.
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spelling doaj-art-5f98f7d02bf4490d8409170710bc71d22025-02-03T01:11:44ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/78523017852301Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction ProjectsM. Ammar Alzarrad0Gary P. Moynihan1Muhammad T. Hatamleh2Siyuan Song3Department of Civil Engineering and Construction, Bradley University, Peoria, IL 61625, USADepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, USADepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, USASchool of Construction and Design, The University of Southern Mississippi, Hattiesburg, MS 39406, USAAs is often the case in project scheduling, when the project duration is shortened to decrease total cost, the total float is lost resulting in added critical or nearly critical activities. This, in turn, results in decreasing the probability of completing the project on time and increases the risk of schedule delays. To solve this problem, this research developed a fuzzy multicriteria decision-making (FMCDM) model. The objective of this model is to help project managers improve their decisions regarding time-cost-risk trade-offs (TCRTO) in construction projects. In this model, an optimization algorithm based on fuzzy logic and analytic hierarchy process (AHP) has been used to analyze the time-cost-risk trade-off alternatives and select the best one based on selected criteria. The algorithm was implemented in the MATLAB software and applied to two case studies to verify and validate the presented model. The presented FMCDM model could help produce a more reliable schedule and mitigate the risk of projects running overbudget or behind schedule. Further, this model is a powerful decision-making instrument to help managers reduce uncertainties and improve the accuracy of time-cost-risk trade-offs. The presented FMCDM model employed fuzzy linguistic terms, which provide decision-makers with the opportunity to give their judgments as intervals comparing to fixed value judgments. In conclusion, the presented FMCDM model has high robustness, and it is an attractive alternative to the traditional methods to solve the time-cost-risk trade-off problem in construction.http://dx.doi.org/10.1155/2019/7852301
spellingShingle M. Ammar Alzarrad
Gary P. Moynihan
Muhammad T. Hatamleh
Siyuan Song
Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects
Advances in Civil Engineering
title Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects
title_full Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects
title_fullStr Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects
title_full_unstemmed Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects
title_short Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects
title_sort fuzzy multicriteria decision making model for time cost risk trade off optimization in construction projects
url http://dx.doi.org/10.1155/2019/7852301
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AT muhammadthatamleh fuzzymulticriteriadecisionmakingmodelfortimecostrisktradeoffoptimizationinconstructionprojects
AT siyuansong fuzzymulticriteriadecisionmakingmodelfortimecostrisktradeoffoptimizationinconstructionprojects