Conceptual Framework for Integrating Cost Estimating and Scheduling with BIM

Santos, Mírian Caroline Farias; Costa, Dayana Bastos; Ferreira, Emerson de Andrade Marques

doi:10.1007/978-3-030-51295-8_43

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The four assumptions established were: Thus, with respect to the elaboration of the four propositions, the assumption was that the integration of processes should be conducted one by one, thus adopting the pillars of knowledge management, i.e., people, processes, and technology, as a fundamental basis, and the integration should occur using the WBS as a standard parameter. A discussion on the conceptual framework is presented in the work of Santos, Costa and Ferreira (2021).…”

Section: Methodsmentioning

confidence: 99%

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Information workflow proposal for integrating cost estimating, scheduling, and monitoring with BIM in SMEs

2021

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Although many studies have emphasized the benefits of the integration of Building Information Modeling (BIM), there is no consensus on the information workflow among main processes used in construction, particularly in small- and medium-size enterprises (SMEs). Therefore, this work proposes an information workflow that integrates 3D BIM modeling, cost estimating, scheduling, and monitoring processes in SMEs (ICSM Information Workflow). This research adopts the design science research approach, which includes (a) a literature review and a study of the information workflow among the processes, (b) a proposal of an information workflow based on certain assumptions for integration, (c) a participatory process for testing and adapting the proposed workflow, and (d) an evaluation of the proposed information workflow. The results indicate the participatory and cyclical processes that were proposed to define the work packages using a standard WBS and a database for information integration were the key for integrating people, technologies, and processes. The main contributions of this study are the proposal of an information workflow that integrates cost estimating, scheduling, and monitoring with BIM in SMEs, and the lessons learned based on the pilot test and evaluation of the ICSM Information Workflow in one of the two projects studied.

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Section: Methodsmentioning

confidence: 99%

“…In a previous work, Santos, Costa and Ferreira (2021) discussed the main problems found in Project 1 and Project 2 regarding the company object of this study. The identified problems are summarized as follows.…”

Section: Awareness Of Problem: Studying Project 1 and Project 2 Information Workflowmentioning

confidence: 97%

Information workflow proposal for integrating cost estimating, scheduling, and monitoring with BIM in SMEs

2021

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Automatic extraction of daily concrete requirements from 3D BIM and project schedules

Pham

Chen

Pal

et al. 2021

Central European Symposium on Thermophysics 2021 (Cest 2021)

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Towards an AEC-AI Industry Optimization Algorithmic Knowledge Mapping: An Adaptive Methodology for Macroscopic Conceptual Analysis

Maureira¹,

Pinto

Yepes³

et al. 2021

IEEE Access

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The Architecture, Engineering, and Construction (AEC) Industry is one of the most important productive sectors, hence also produce a high impact on the economic balances, societal stability, and global challenges in climate change. Regarding its adoption of technologies, applications and processes is also recognized by its status-quo, its slow innovation pace, and the conservative approaches. However, a new technological era -Industry 4.0 fueled by AI-is driving productive sectors in a highly pressurized global technological competition and sociopolitical landscape. In this paper, we develop an adaptive approach to mining text content in the literature research corpus related to the AEC and AI (AEC-AI) industries, in particular on its relation to technological processes and applications. We present a first stage approach to an adaptive assessment of AI algorithms, to form an integrative AI platform in the AEC industry, the AEC-AI industry 4.0. At this stage, a macroscopic adaptive method is deployed to characterize "Optimization", a key term in AEC-AI industry, using a mixed methodology incorporating machine learning and classical evaluation process. Our results show that effective use of metadata, constrained search queries, and domain knowledge allows getting a macroscopic assessment of the target concept. This allows the extraction of a high-level mapping and conceptual structure characterization of the literature corpus. The results are comparable, at this level, to classical methodologies for the literature review. In addition, our method is designed for an adaptive assessment to incorporate further stages.

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Conceptual Framework for Integrating Cost Estimating and Scheduling with BIM

Cited by 4 publications

References 14 publications

Information workflow proposal for integrating cost estimating, scheduling, and monitoring with BIM in SMEs

Information workflow proposal for integrating cost estimating, scheduling, and monitoring with BIM in SMEs

Automatic extraction of daily concrete requirements from 3D BIM and project schedules

Towards an AEC-AI Industry Optimization Algorithmic Knowledge Mapping: An Adaptive Methodology for Macroscopic Conceptual Analysis

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