Fazeli, A; Banihashemi, S; Hajirasouli, A and Mohandes, S R (2024) Automated 4D BIM development: The resource specification and optimization approach. Engineering, Construction and Architectural Management, 31(5), pp. 1896-1922. ISSN 0969-9988
Abstract
Purpose: This research aims to develop an automated and optimization algorithms (OAs)-integrated 4D building information modeling (BIM) approach and a prototype and enable construction managers and practitioners to estimate the time of compound elements in building projects using the resource specification technique. Design/methodology/approach: A 4D BIM estimation process was first developed by applying the resource specification and geometric information from the BIM model. A suite of OA including particle swarm optimization, ant colony, differential evolution and genetic algorithm were developed and compared in order to facilitate and automate the estimation process. The developed processes and porotypes were linked and integrated. Findings: The OA-based automated 4D BIM estimation prototype was developed and validated through a real-life construction project. Different OAs were applied and compared, and the genetic algorithm was found as the best performing one. The prototype was successfully linked with BIM timeliner application. By using this approach, the start and finish dates of all object-based activities are developed, and the project completion time is automatically estimated. Originality/value: Unlike conventional construction estimation methods which need various tools and are error prone and time-consuming, the developed method bypasses the existing time estimation tools and provides the integrated and automated process with BIM and machine learning algorithms. Furthermore, this approach integrates 4D BIM applications into construction design procedures, connected with OA automation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 4D; building information modeling; construction resource; optimization algorithms; time estimation |
| Index terms: | prototype, specification, genetic algorithm, time estimation, machine learning, practitioner, construction manager, completion time, optimization algorithm, construction project, methodology, evolution, estimation, automated process, building information modelling, automation, estimate |
| Subjects: | information systems, project controls, production management, automation and robotics, contractual condition, algorithms, research methods, financial and cost management, artificial intelligence, environmental science, modelling and simulation, operations research, practitioner, profession |
| Topics: | Engineering Principles, Project Management, Research Practice, Cost Management, Sustainability, Roles and Professions, Digital Applications, Contract Administration, Time Control |
| Descriptive scope: | 3 PCT |
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