Tradeoff time cost quality in repetitive construction project using fuzzy logic approach and symbiotic organism search algorithm
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F fuzzy logic is utilized to model the uncertainty embedding α-cut approach and it is shown that the proposed model is powerful to explore the solution for the shortest project duration with minimum incurred cost and high overall quality in the construction project.Abstract:
Time cost and quality are three important factors in planning and controlling construction projects. Getting these factors in balance, which minimizes the project duration, the total project cost, and maximizes the total quality could define the success of a construction project. Aside from planning and estimating the project properly, a consideration of uncertainty while implementing the project is needed to represent a more realistic outcome for time, cost, and quality trade-off (TCQT) problem in construction projects. In this paper, fuzzy logic is utilized to model the uncertainty embedding α-cut approach to see the effect of the uncertainty on the time, cost, and quality of the project. Then multi-objective Symbiotic Organism Search (SOS) algorithm is applied to find a set of the optimal solution in different uncertainty levels and provide the project manager several possible actions to implement the project. Two numerical case studies of a repetitive construction project were analyzed to see the effectiveness of the model and its capability to solve the TCQT problem in the construction project. The results showed that the proposed model is powerful to explore the solution for the shortest project duration with minimum incurred cost and high overall quality in the construction project. In comparison to the other widely used methods and other algorithms, the proposed model is proven to be effective and competitive in solving the TCQT problem.read more
Citations
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References
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Symbiotic Organisms Search Algorithm: theory, recent advances and applications
Absalom E. Ezugwu,Doddy Prayogo +1 more
TL;DR: An overview of the research conducted on symbiotic organisms search algorithms from inception to the time of writing is provided, in the form of details of various application scenarios with variants and hybrid implementations, and suggestions for future research directions.
Journal ArticleDOI
A two-phase GA model for resource-constrained project scheduling
Po-Han Chen,Haijie Weng +1 more
TL;DR: In this article, a GA-based time-cost trade-off analysis is adopted to select the execution mode of each activity through the balance of time and cost, followed by utilization of a GA based resource scheduling method to generate a feasible schedule which may satisfy all the project constraints.
Journal ArticleDOI
Optimizing Multiple-Resources Leveling in Multiple Projects Using Discrete Symbiotic Organisms Search
TL;DR: In this article, a discrete symbiotic organisms search (SOS) algorithm is proposed for optimizing multiple resources leveling in the multiple projects scheduling problem (DSOS-MRLMP) to reduce fluctuation in resource usage over the period of project implementation.
Journal ArticleDOI
Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front
Daisy X. M. Zheng,S. Thomas Ng +1 more
TL;DR: In this paper, a fuzzy sets theory is applied to model the managers' behavior in predicting time and cost pertinent to a specific option within an activity within a real construction project, and the non-replaceable front concept is proposed to assist managers in recognizing promising solutions from numerous candidates on the Pareto front.
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Fuzzy-based MOGA approach to stochastic time-cost trade-off problem
TL;DR: In this article, a multi-objective genetic algorithm is used to solve the discontinuous and multiobjective fuzzy time-cost model with relatively large search space, where fuzzy numbers are used to address the uncertainties in the activities execution times and costs.
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