contributor author | Pin-Chao Liao | |
contributor author | William J. O’Brien | |
contributor author | Stephen R. Thomas | |
contributor author | Jiukun Dai | |
contributor author | Stephen P. Mulva | |
date accessioned | 2017-05-08T21:54:30Z | |
date available | 2017-05-08T21:54:30Z | |
date copyright | October 2011 | |
date issued | 2011 | |
identifier other | %28asce%29me%2E1943-5479%2E0000091.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/66117 | |
description abstract | Engineering performance has a major impact on subsequent project phases, such as procurement and construction, and thus, has the potential to affect the overall project outcome. This study utilizes metrics and a database from the Construction Industry Institute (CII) benchmarking and metrics program to investigate relationships between factors thought to affect direct engineering labor productivity during detailed engineering. Collaborating with industry practitioners, quantitative assessments were analyzed with industry input through various CII committee meetings and industry forums. Significant correlations are found between engineering productivity and project size, project type, project priority, and phase involvement. Correlations are also found between degree of modularization, funded front-end planning effort, and quality management and engineering productivity. These findings extend and, in some cases, contradict previous research. | |
publisher | American Society of Civil Engineers | |
title | Factors Affecting Engineering Productivity | |
type | Journal Paper | |
journal volume | 27 | |
journal issue | 4 | |
journal title | Journal of Management in Engineering | |
identifier doi | 10.1061/(ASCE)ME.1943-5479.0000059 | |
tree | Journal of Management in Engineering:;2011:;Volume ( 027 ):;issue: 004 | |
contenttype | Fulltext | |