A Risk-Based Critical Path Scheduling Method (II) : A Visual Approach System Using BIM

Abstract

The traditional construction schedule planning methods are mostly based on the project activities list broken down by the experienced engineers who primarily analyze the work content of construction drawings, and the activity durations estimated by simulating the construction process according to the conditions of the construction site. However, such an approach does not only give hard time the new engineers without experience, but is also unable to capture the dynamic risk factors while estimating the construction duration. As a result, the planned schedule is usually inaccurate and ineffective. To tackle the abovementioned problem, this paper presents a BIM-based Visual Risk critical path Scheduling System (BIM-VRcpSS) to assist the construction scheduler in developing a more accurate and effective schedule. The proposed BIMVRcpSS provides functions of risk-based Critical Path Scheduling Method (R-CPSM) based on seven different risk levels. It also equips the construction schedulers with a 3D BIM visual simulation tool to better estimate the activity durations compared with the traditional 2D approaches. Moreover, with the aid of a cloud data based system, the construction schedulers are able to fine-tune duration estimates by considering the impacts of different risk factors without spatial and time limitations. As such, the proposed BIM-VRcpSS can increase the duration estimation accuracy of construction activities, and improve the traditional scheduling approaches.

Control of construction projects using the Earned Value Method - case study

“…BIM-VRcp combines time and cost control and monitoring with the risk in construction projects. The application of BIM-VRcp allows generation of seven value curves obtained for seven risk levels (defined as critical paths in the project schedule) [21].…”

O uso do BIM na elaboração de propostas técnicas de obras portuárias.

“…No estudo, os autores fazem distinção entre tecnologias proativas e reativas, necessitando estas de processamento pós-coleta dos dados, enquanto aquelas coletam e analisam os dados em tempo real, possibilitando alertas e feedback imediato. Nesta mesma problemática,Sun, Man, Wang (2015),Chang, Yu, Cheng (2017),Le, Hsiung, (2014) e PENG et al, (2017) desenvolveram sistemas para que o modelo BIM fosse base para uma gestão automatizada de riscos. Outro conceito abordado se refere ao uso do BIM em conjunto com Estruturas Analíticas de Risco (RBS, Risk Breakdown Structures).…”