System model for analyzing design productivity

Andrew S. Chang, William Ibbs

研究成果: Article同行評審

16 引文 斯高帕斯(Scopus)


Many engineering design companies collect data such as person hours to manage projects. But the relationships between operational variables and performance are usually not thoroughly analyzed and interpreted. This paper proposes a system model and procedure to relate influence variables to project productivity. The model was tested by analyzing 190 projects of an engineering consulting company. The relationships between design productivity and various input and process variables were identified and interpreted. For example, project size has a negative relationship with productivity, while the effect of quality assurance/quality control on productivity is not clear. Based on documented data and derived information, this model can help companies gain operational insight and thus improve productivity and profitability.

頁(從 - 到)27-34
期刊Journal of Management in Engineering
出版狀態Published - 2006

All Science Journal Classification (ASJC) codes

  • 勞資關係
  • 工程 (全部)
  • 策略與管理
  • 管理科學與經營研究


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