Application of Data Mining Techniques to Quantify the Relative Influence of Design and Installation Characteristics on Labor Productivity-Reference-Cited by-同舟云学术

Application of Data Mining Techniques to Quantify the Relative Influence of Design and Installation Characteristics on Labor Productivity

Published:2017-08 Issue:8 Volume:143 Page:04017052
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Bonham Dave R.¹,Goodrum Paul M.²,Littlejohn Ray³,Albattah Mohammed A.⁴

Affiliation:

1. Lean Construction Manager, Turner Construction Company, 55 E. Monroe, Suite 1430, Chicago, IL 60603.

2. Professor, Construction Engineering and Management, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, 1111 Engineering Dr., UCB 428, Boulder, CO 80309-0428.

3. Scholar in Residence, W. Edwards Deming Professor of Management, Lockheed Martin Engineering Management Program, Univ. of Colorado Boulder, Boulder, CO 80309-0428.

4. Research Assistant, Construction Engineering and Management, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, ECCE 156/160, 1111 Engineering Dr., UCB 428, Boulder, CO 80309-0428 (corresponding author).

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.1943-7862.0001347

Reference13 articles.

1. A Prototype Master Code of Accounting Structure to Facilitate Accurate Measures of Construction Labor Productivity across Multiple Projects

2. Multiple Comparisons Using Rank Sums

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