Measuring Progress and Productivity in Model-Driven Engineering for Capital Project Delivery-Reference-Cited by-同舟云学术

Measuring Progress and Productivity in Model-Driven Engineering for Capital Project Delivery

Published:2021-04 Issue:4 Volume:147 Page:04021009
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Garcia Gustavo¹^ORCID,Golparvar-Fard Mani²,de la Garza Jesus M.³^ORCID,Fischer Martin⁴

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801 (corresponding author). ORCID: .

2. Associate Professor of Civil Engineering, Computer Science and Technology Entrepreneurship, Newmark Dept. of Civil Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801.

3. Professor and Department Chair, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634. ORCID: .

4. Professor, Center for Integrated Facility Engineering Lab, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA 94305.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0001969

Reference17 articles.

1. BIM Forum. 2019. “Level of development specification.” Accessed July 3 2019. https://bimforum.org/lod/.

2. Bolpagni M. and A. L. C. Ciribini. 2016. “The information modeling and the progression of data-driven projects.” In Vol. 3 of Proc. CIB World Building Congress. Ottawa ON Canada: International Council for Research and Innovation in Building and Innovation in Building and Construction.

3. System Model for Analyzing Design Productivity

4. Genetic algorithms for accessing engineering performance;Chang L.;NIST Spec. Publ. SP,2003

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