Approaches for BIM-based multi-objective optimization in construction scheduling

Essam, Noha; Khodier, Laila; Fathy, Fatma

doi:10.1016/j.asej.2023.102114

Cited by 17 publications

(8 citation statements)

References 44 publications

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“…To obtain optimal schedules, engineers often need to develop separate optimization models with special tools, which, however, demands further processing and editing of optimization results into forms expected for project management. In this regard, separation of optimization requires considerable additional work for complete and harmonized updating of schedules during construction execution [36]. All of the mentioned aspects are reported in the text, after the description of each case.…”

Section: Methodsmentioning

confidence: 99%

BIM Manager Role in the Integration and Coordination of Construction Projects

Sampaio,

Azevedo,

Gomes

2023

Buildings

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Building information modelling (BIM) methodology has been implemented in the construction industry, reaching all sectors: multidisciplinary design development; construction planning and monitoring; and building management and maintenance. A complete BIM project aggregates several disciplines and different professionals skillsets. In order to achieve a suitable control, contributing to improve the quality of the project, a BIM manager is required. The BIM manager has the responsibility to coordinate all tasks involved in a building design, as well as the associated activities usually that are normally worked-out, complementing the project. During the development of a project, a BIM manager can access various discipline models, located in a delayering shared platform, and request responsibilities and amendments if inconsistencies are detected. The relevance of the BIM manager function is illustrated with three building cases where distinct specific projects, disciplines, and tasks were elaborated: collaboration between disciplines (architecture, structures, and construction); structural analyses and reinforcement details; quantity take-off of materials and cost estimation; construction scheduling and simulation. Although there are limitations in the software interoperability capacity, within the elaboration of a multiple stage project, BIM implementation in the construction industry has been carried out. The present study shows that the BIM manager role in projects aggregates several disciplines and experts, bringing an important improvement in the quality of the final product. A suitable BIM implementation in the construction industry needs to be supported by the most current advanced technology and in adequate BIM manager coordination.

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Section: Methodsmentioning

confidence: 99%

BIM Manager Role in the Integration and Coordination of Construction Projects

Sampaio,

Azevedo,

Gomes

2023

Buildings

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“…It showcases efficiency in swiftly attaining optimal solutions by utilizing objective functions for straightforward problem-solving [31]. Moreover, the versatility of the GA enables the exploration of diverse solutions and addresses multi-objective construction scheduling problems through various search strategies [32,33]. Derived from natural selection principles, the GA involves stages of selection, crossover, and mutation, driving the iterative evolution of initially random genes towards a form best suited for the defined objective function [17,24].…”

Section: Genetic Algorithm-based Automated Assembly Planningmentioning

confidence: 99%

Building an Information Modeling-Based System for Automatically Generating the Assembly Sequence of Precast Concrete Components Using a Genetic Algorithm

Bae,

Cha,

Jiang

2024

Applied Sciences

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Facing a significant decrease in economic working processes, Off-Site Construction (OSC) methods have been frequently adopted in response to challenges such as declining productivity and labor shortages in the construction industry. Currently, in most OSC applications, the assembly phase is traditionally managed based on the personal experience and judgment of the site managers. This approach can lead to inaccuracies or omissions, particularly when dealing with a large amount of information on large, complex construction sites. Additionally, there are limitations in exploring more efficient and productive alternatives for rapidly adapting to changing on-site conditions. Given that the assembly phase significantly affects the OSC productivity, a systematic management approach is crucial for expanding OSC methods. Some initial studies used computer algorithms to determine the optimal assembly sequences. However, these studies often focused on geometrical characteristics, such as component weight or spatial occupancy, neglecting crucial factors in actual site planning, such as the work radius and component installation status. Moreover, these studies tended to prioritize the generation of initial assembly sequences rather than providing alternatives for adapting to evolving on-site conditions. In response to these limitations, this study presents a systematic framework utilizing a Building Information Modeling (BIM)–Genetic Algorithm (GA) approach to generate Precast Concrete (PC) component installation sequences. The developed system employs Genetic Algorithms to objectively explore diverse assembly plans, emphasizing the flexibility of accommodating evolving on-site conditions. Real on-site scenarios were simulated using this framework to explore multiple assembly plan alternatives and validate their applicability. Comprehensive interviews were conducted to validate the research and confirm the system’s potential contributions, especially at just-in-time-focused PC sites. Acknowledging a broader range of variables such as equipment and manpower, this study anticipates fostering more systematic on-site management within the context of a digitized construction environment. The proposed algorithm contributes to improving both productivity and sustainability of the construction industry by optimizing the management process of the off-site construction projects.

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“…Construction schedules serve many purposes ranging from informing owners on state of progress, establishing long-term coordination among crews and trade contractors, to specifying terms of payment (Halpin & Senior, Bolivar, 2017). The construction schedule is one of the most important planning and control tools for the construction process (Rosłon et al, 2020), frequently includes a very large number of activities (Essam et al, 2023) and it is the core of the project plan. It is used by the project management team to commit resources to the project and show the organization how the work will be performed (Magalhães-Mendes, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…It is used by the project management team to commit resources to the project and show the organization how the work will be performed (Magalhães-Mendes, 2011). The main goal of a construction schedule is to identify the activities needed to complete a project and sequence them in the most efficient way possible within the timeframe and resources available (Essam et al, 2023). Construction scheduling is a complex process due to the interdependence and contradiction of project activities (Essam et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…The main goal of a construction schedule is to identify the activities needed to complete a project and sequence them in the most efficient way possible within the timeframe and resources available (Essam et al, 2023). Construction scheduling is a complex process due to the interdependence and contradiction of project activities (Essam et al, 2023). Construction schedule practices rely heavily on manually elaborated descriptions of construction means and methods (Amer & Golparvar-Fard, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Comprehension of Construction Schedules of an Artificial Intelligence

Sulbaran

2023

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

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Construction schedules are an important tool to communicate with the project stakeholders and are critical for the project management team to plan, coordinate, and manage construction projects. Each construction project has a unique schedule that is created based on the construction drawings, specifications, contracting requirements, construction methods, and the judgment of the project management team. Therefore, each construction schedule is unique in many aspects such as the number of activities, the names of the activities, the duration of those activities, and the relationship between the activities. The names of the activities are of particular interest as they are the critical core unit to creating the schedule. Furthermore, the activities are the ones that bring together all other aspects of the schedule. Unfortunately, there is no standard naming conversion for those activities and they vary from project to project as well as from project management team to project management team. This inconsistency of the activity name makes it extremely challenging for both humans and machines to understand the meaning and scope of the activities. Thus, the problem that this paper addresses is the challenge faced by machines to comprehend the activities of a construction schedule. Therefore, the objective of this paper is to evaluate the ability of an Artificial Intelligence (AI) implementation to comprehend activities in a construction schedule. This research was conducted following a mixed research method. The AI implementation training was done by providing the Construction Specifications Institute (CSI) Master Format activity list to a Sentence Transformer. Then the AI was given the task of interpreting the activities of a construction schedule according to the 50 Divisions of the CSI Master Format. A group of senior construction students was also given the same interpretation task. The evaluation was done by comparing the results of the AI vs the humans for each of the activities in the construction schedule. The result was that the AI has 0.56 accuracy, 0.50 precision, 0.85 recall and, 0.64 F1 Score. This result is very promising and it supports further research to refine the AI to increase its ability to comprehend construction schedule activities. Upon achieving a higher level of comprehension an AI could be used to assist humans in the preparation of construction schedules or perhaps prepare drafts of the construction schedules for the human to review

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Approaches for BIM-based multi-objective optimization in construction scheduling

Cited by 17 publications

References 44 publications

BIM Manager Role in the Integration and Coordination of Construction Projects

BIM Manager Role in the Integration and Coordination of Construction Projects

Building an Information Modeling-Based System for Automatically Generating the Assembly Sequence of Precast Concrete Components Using a Genetic Algorithm

Evaluating the Comprehension of Construction Schedules of an Artificial Intelligence

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