BIM-Based Combination of Takt Time and Discrete Event Simulation for Implementing Just in Time in Construction Scheduling under Constraints

Abbasi, Saman; Taghizade, Katayoon; Noorzai, Esmatullah

doi:10.1061/(asce)co.1943-7862.0001940

Cited by 47 publications

(36 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…DES is widely accepted by the construction industry as a decision support and project planning tool (AbouRizk, 2010). It provides an effective planning approach with the ability to incorporate uncertainties and complex interactions (Abbasi et al , 2020). In recent years, integrating DES and BIM for construction planning automation has become a popular research topic.…”

Section: Related Workmentioning

confidence: 99%

“…BIM helps DES models to overcome many of their usual applicability challenges such as their need for time-consuming, high-quality data entry and manually updating inputs regularly that requires considerable expert work (Konig et al , 2012; Lu and Olofsson, 2014; Skoogh and Johansson, 2008). Nevertheless, the use of BIM information in DES can be challenging and requires developing appropriate tools for extracting and classifying data (Abbasi et al , 2020).…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An intelligent simulation-based framework for automated planning of concrete construction works

Mohammadi

Tavakolan

Zahraie

2021

ECAM

View full text Add to dashboard Cite

PurposeThis paper proposes an innovative intelligent simulation-based construction planning framework that introduces a new approach to simulation-based construction planning.Design/methodology/approachIn this approach, the authors developed an ontological inference engine as an integrated part of a constraint-based simulation system that configures the construction processes, defines activities and manages resources considering a variety of requirements and constraints during the simulation. It allows for the incorporation of the latest project information and a deep level of construction planning knowledge in the planning. The construction planning knowledge is represented by an ontology and several semantic rules. Also, the proposed framework uses the project building information model (BIM) to extract information regarding the construction product and the relations between elements. The extracted information is then converted to an ontological format to be useable by the framework.FindingsThe authors implemented the framework in a case study project and tested its usefulness and capabilities. It successfully generated the construction processes, activities and required resources based on the construction product, available resources and the planning rules. It also allowed for a variety of analyses regarding different construction strategies and resource planning. Moreover, 4D BIM models that provide a very good understanding of the construction plan can be automatically generated using the proposed framework.Originality/valueThe active integration between BIM, discrete-event simulation (DES) and ontological knowledge base and inference engine defines a new class of construction simulation with expandable applications.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An intelligent simulation-based framework for automated planning of concrete construction works

Mohammadi

Tavakolan

Zahraie

2021

ECAM

View full text Add to dashboard Cite

show abstract

“…However, as with every method, DES has limitations that are important to be acknowledged, such as the need to discretize continuous data (Puri and Martinez, 2013), the lack of capacity to add feedback processes (Peña-Mora et al, 2008), and model verification and validation challenges (Zankoul et al, 2015). Of note, to compensate for these limitations, researchers have begun to integrate DES with other simulation techniques often used in the construction engineering and management (CEM) domain, such as agent-based modeling (e.g., Abdelkhalek and Zayed, 2020), system dynamics (e.g., Hwang et al, 2016;Xu et al, 2018), and virtual environments (e.g., Abbasi et al, 2020;Sacks et al, 2015). For instance, efforts have been made to propose a framework to integrate multiple simulation techniques, such as DES, SD, and ABM (Bokor et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Integration of discrete event simulation with other modeling techniques to simulate construction engineering and management: an overview

Araya

2022

rdlc

View full text Add to dashboard Cite

Although Discrete Event Simulation (DES) has been the preferred simulation technique in construction operation studies, it suffers from limitations, such as narrowed focus at the operational level. To minimize the effect of DES limitations, researchers have proposed the integration of DES with other simulation techniques, such as agent-based modeling (ABM), system dynamics (SD), and virtual environments (VE). However, limited studies have discussed whether this integration process minimizes DES’ limitations and to what extent. This study summarizes 99 journal manuscripts in the existing literature published between 2010-2020, focusing on integrating DES with ABM, SD, and VE. This study found that the integration of DES with ABM, SD, and VE addressed multiple of DES’ limitations, namely, the lack of human behaviors in process-oriented modeling, the limited strategic perspective, and challenges related to the verification and validation of DES models’ outputs. Ultimately, this study calls for future studies to evaluate the simultaneous integration of DES, ABM, and SD modeling techniques so the complexity of construction projects can be truly accounted for, as comprehensive simulation tools will require the integration of multiple methods to counterbalance their limitations.

show abstract

“…Current practices in the domain of construction planning and scheduling are oriented towards automatic schedule development and the application of specialized optimization techniques [15]. Although modern technologies such as BIM have already been applied to the optimization problems in the realm of construction scheduling [16][17][18][19][20][21], additional development and possible extensions are still needed to effectively automatize scheduling practices and improve both customizability and user-friendliness of emerging technologies for practical use [22,23].…”

Section: Introductionmentioning

confidence: 99%

Resilient Scheduling as a Response to Uncertainty in Construction Projects

2021

View full text Add to dashboard Cite

Complex construction projects are developed in a dynamic environment, where uncertainty conditions have a great potential to affect project deliverables. In an attempt to efficiently deal with the negative impacts of uncertainty, resilient baseline schedules are produced to improve the probability of reaching project goals, such as respecting the due date and reaching the expected profit. Prior to introducing the resilient scheduling procedure, a taxonomy model was built to account for uncertainty sources in construction projects. Thence, a multi-objective optimization model is presented to manage the impact of uncertainty. This approach can be described as a complex trade-off analysis between three important features of a construction project: duration, stability, and profit. The result of the suggested procedure is presented in a form of a resilient baseline schedule, so the ability of a schedule to absorb uncertain perturbations is improved. The proposed optimization problem is illustrated on the example project network, along which the probabilistic simulation method was used to validate the results of the scheduling process in uncertain conditions. The proposed resilient scheduling approach leads to more accurate forecasting, so the project planning calculations are accepted with increased confidence levels.

show abstract

BIM-Based Combination of Takt Time and Discrete Event Simulation for Implementing Just in Time in Construction Scheduling under Constraints

Cited by 47 publications

References 39 publications

An intelligent simulation-based framework for automated planning of concrete construction works

An intelligent simulation-based framework for automated planning of concrete construction works

Integration of discrete event simulation with other modeling techniques to simulate construction engineering and management: an overview

Resilient Scheduling as a Response to Uncertainty in Construction Projects

Contact Info

Product

Resources

About