Sadeghi, N; Fayek, A R and Seresht, N G (2016) A fuzzy discrete event simulation framework for construction applications: Improving the simulation time advancement. Journal of Construction Engineering and Management, 142(12): 04016071, ISSN 0733-9364
Abstract
Discrete event simulation (DES) has been widely used for scheduling and analysis of construction projects. Integration of DES with fuzzy logic enhances the capabilities of DES by capturing imprecise, subjective, and linguistically expressed knowledge in the simulation inputs using fuzzy numbers. However, available fuzzy discrete event simulation (FDES) methodologies have significant shortcomings in handling fuzzy ranking and updating of the simulation time. These limitations often result in the inaccurate estimation of the start and completion times for individual activities and the whole project. This paper presents a new approach for calculating the event times to increase the accuracy of simulation time estimation in FDES. The major contributions of this paper are in integrating DES with fuzzy logic to increase its applicability in the construction domain and increasing the accuracy of FDES results. The proposed FDES approach was implemented in a construction project scheduling example, which confirms the higher accuracy of the proposed methodology compared to existing FDES methodologies.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction management; fuzzy sets; quantitative methods; simulation |
| Index terms: | discrete event simulation, fuzzy logic, fuzzy set, estimation, integration, methodology, construction project, completion time, quantitative method, time estimation, scheduling, accuracy |
| Subjects: | project controls, organizational analysis, decision-making and optimization, research methods, production management, professional development, operations research, modelling and simulation, data analysis and analytics, data science, financial and cost management |
| Topics: | Digital Applications, Organizational Design, Time Control, Project Management, Research Practice, Information Management, Cost Management |
| Descriptive scope: | 4 PCTA |
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