Proposed System for Measuring Project Performance Using Process-Based Key Performance Indicators

被引:48
|
作者
Haponava, Tatsiana [1 ]
Al-Jibouri, Saad [2 ]
机构
[1] NEN Dutch Standardizat Inst, NL-2623 AX Delft, Netherlands
[2] Univ Twente, Dept Civil Engn, NL-7500 AE Enschede, Netherlands
关键词
Measurement system; Process performance; Performance indicators; CONSTRUCTION; BENCHMARKING;
D O I
10.1061/(ASCE)ME.1943-5479.0000078
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Despite some evidence of its usefulness, performance measurement by using Key Performance Indicators (KPIs) in the construction industry also has its critics. Among the shortcomings attributed to existing KPIs is the fact that almost all of them are product oriented. This means that the indicators are mostly used for review purposes after a project is completed and do not provide the opportunity to control the work whilst the project is still in progress. Many researchers have agreed on the need for a new approach that considers the construction process and allows active control. This paper describes the design of a proposed generic system for measuring process performance. As a basis for measuring process performance, the proposed measurement system relies on a series of questions related to both process completeness and process quality. The structure of the measurement system is on the basis of the findings of an earlier stage of the research that had resulted in the development of a number of process-based KPIs and the key issues they encompass. The appropriateness of the proposed measurement system has been tested on two on-going projects. The testing has shown that the proposed system produces relatively accurate indications of actual performance of construction projects. In this research, it was not possible to test the validity or the effectiveness of the proposed measurement system for control in practice. This is because of the long timescales involved in real-life projects and because of the possible influence of control actions taken by project management between the various processes. DOI: 10.1061/(ASCE)ME.1943-5479.0000078. (C) 2012 American Society of Civil Engineers.
引用
收藏
页码:140 / 149
页数:10
相关论文
共 50 条
  • [41] A process-based performance measurement framework for continuous process improvement
    Han, Kwan Hee
    Kang, Jin Gu
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2007, 14 (03): : 220 - 228
  • [42] Identifying the key process factors affecting project performance
    Lindhard, Soren
    Larsen, Jesper Kranker
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2016, 23 (05) : 657 - 673
  • [43] Proposed Model of Key Performance Indicators to Evaluate the Tacit Knowledge Performance Level of the Academicians in Iraqi Universities
    Al-Sulami, Zainab Amin
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS 2020), 2020, : 18 - 24
  • [44] Logistics Indicators for Measuring Performance of Logistics System in the Company
    Majercak, Peter
    Majercak, Jozef
    [J]. 2015 3RD INTERNATIONAL CONFERENCE ON EDUCATION REFORM AND MANAGEMENT INNOVATION (ERMI 2015), PT 1, 2015, 78 : 151 - 155
  • [45] Quality Initiatives Key Performance Indicators for Measuring and Improving Radiology Department Performance Invited Commentary
    Kruskal, Jonathan B.
    Reedy, Allen
    [J]. RADIOGRAPHICS, 2010, 30 (03) : 582 - 584
  • [46] Improving program outcome with process-based performance feedback
    Arco, L
    [J]. JOURNAL OF ORGANIZATIONAL BEHAVIOR MANAGEMENT, 1997, 17 (01) : 37 - 64
  • [47] Developing key performance indicators for the Australian reimbursement system
    Abela, M
    Davey, P
    Carroll, J
    Brown, B
    Yates, R
    [J]. VALUE IN HEALTH, 2005, 8 (03) : 294 - 295
  • [48] KEY PERFORMANCE INDICATORS (KPIs) IN THE QUALITY MANAGEMENT SYSTEM
    Balon, Urszula
    Dziadkowiec, Joanna M.
    Niewczas-Dobrowolska, Magdalena
    [J]. INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2024, 18 (02) : 473 - 486
  • [49] Two-stage process analysis using the process-based performance measurement framework and process simulation
    Han, Kwan Hee
    Kang, Jin Gu
    [J]. SERA 2007: 5TH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT, AND APPLICATIONS, PROCEEDINGS, 2007, : 31 - +
  • [50] Key Performance Indicators for Manufacturing Operations Management in the Process Industry
    Zhu, Li
    Johnsson, Charlotta
    Mejvik, Jacob
    Varisco, Martina
    Schiraldi, Massimiliano
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, : 969 - 973