Integrated Simulation System for Construction Operation and Project Scheduling

Lee, Dong‐Eun; Yi, Chang-Yong; Lim, Tae-Kyung; Arditi, David

doi:10.1061/(asce)cp.1943-5487.0000061

Cited by 39 publications

(26 citation statements)

References 41 publications

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“…However, a set of simulated activity duration data, which can be generated by simulating operation models using discrete event simulation systems, can be used as the historical activity duration data. In this study, as in another similar study (Lee et al 2012), a system called Construction Operation and Project Scheduling (Lee et al 2010) was used to generate the fictitious data. • Step 4: The means of all activities' durations are computed.…”

Section: Methodsmentioning

confidence: 99%

Advanced Stochastic Schedule Simulation System

Lee

Bae

Arditi

2011

Civil Engineering and Environmental Systems

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This paper introduces an automated tool named Advanced Stochastic Schedule Simulation System (AS4). It integrates critical path method (CPM) schedule data exported from Primavera Project Planner (P3) and historical activity duration data obtained from a project data warehouse, computes the best-fit probability distribution functions (PDFs) of historical activity durations, assigns the PDFs identified to respective activities, computes the optimum number of simulation runs, simulates the schedule network for the optimum number of iteration runs, and estimates the best-fit PDF of project completion times (PCTs) without user intervention at any time. AS4 improves the reliability of simulation-based scheduling by effectively dealing with the uncertainties of the activities' durations, increases the usability of the schedule data obtained from commercial CPM software, and effectively handles the variability of the PCTs by finding the best-fit PDF of PCTs. AS4 encourages the use of simulation-based scheduling because it is simple to use and it simplifies the tedious and burdensome process involved in finding the PDFs of the many activities' durations, in assigning the PDFs to the many activities of a new network under modelling, and in estimating the best-fit PDF of PCTs.

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Section: Methodsmentioning

confidence: 99%

Advanced Stochastic Schedule Simulation System

Lee

Bae

Arditi

2011

Civil Engineering and Environmental Systems

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“…A common approach adopted in the literature to account for uncertainty and project-specific conditions in planning and analysis is discrete-event simulation (DES). DES has been used widely in previous studies to experiment with different construction processes [144][145][146][147][148][149]. Furthermore, DES has been used in several studies to estimate the carbon emissions of a number of construction operations including earthmoving [107,138,150], asphalt paving operation [151], tower crane swing operation [152] and highway construction projects [134].…”

Section: Accounting For Uncertainty and Site-specific Conditionsmentioning

confidence: 99%

Estimation and Minimization of Embodied Carbon of Buildings: A Review

2017

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Building and construction is responsible for up to 30% of annual global greenhouse gas (GHG) emissions, commonly reported in carbon equivalent unit. Carbon emissions are incurred in all stages of a building's life cycle and are generally categorised into operating carbon and embodied carbon, each making varying contributions to the life cycle carbon depending on the building's characteristics. With recent advances in reducing the operating carbon of buildings, the available literature indicates a clear shift in attention towards investigating strategies to minimize embodied carbon. However, minimizing the embodied carbon of buildings is challenging and requires evaluating the effects of embodied carbon reduction strategies on the emissions incurred in different life cycle phases, as well as the operating carbon of the building. In this paper, the available literature on strategies for reducing the embodied carbon of buildings, as well as methods for estimating the embodied carbon of buildings, is reviewed and the strengths and weaknesses of each method are highlighted.

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“…The simulation tool represents a network constituting information of circulated work. Since CYCLONE is an efficient technique to predict the productivity and the construction period of a project based on construction type [46][47][48], productivity of the developed method and the productivity of the existing external insulation wet construction are compared using the corresponding management tools, thereby verifying and the applicability of the developed PC-Wall method.…”

Section: Productivity Analysismentioning

confidence: 99%

Simulation Model for Productivity Analysis of External Insulated Precast Concrete Wall System

Baik

Kim

Lee³

et al. 2018

Sustainability

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External Insulation Finishing System (EIFS) is recognized as a suitable method for attaining energy efficiency of buildings. However, conventional EIFS is not actively applied to building construction due to additional time and cost compared with interior insulation method. Therefore, as an alternative that can contribute to active utilization of the external insulation system, this study proposes an External Insulated Precast Concrete (PC) Wall System and its simulation for performing productivity analysis. Results of this study are as follows: (1) an external insulated PC-Wall system is developed of which its insulation performance is above 40% higher than that of the conventional EIFS; (2) performance of the developed system satisfied American Standards for Testing of Materials (ASTM) and American Architectural Manufacturers Association (AAMA) standards; (3) applicability of the developed system is verified via test-bed with construction time lapsing about 40 min for each PC-Wall; and (4) CYCLONE modeling methodology is employed to perform productivity analysis of the developed system compared with conventional EIFS.

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Integrated Simulation System for Construction Operation and Project Scheduling

Cited by 39 publications

References 41 publications

Advanced Stochastic Schedule Simulation System

Advanced Stochastic Schedule Simulation System

Estimation and Minimization of Embodied Carbon of Buildings: A Review

Simulation Model for Productivity Analysis of External Insulated Precast Concrete Wall System

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