Multi-criteria analysis of Projects' performance in construction

Construction companies usually perform several construction projects at the same time. Projects differ by complexity, duration, budget, variety of works, and number of implementers. Also vary the results of the projects: some of them have been implemented successfully, other terminated with losses or accidents. To determine the causes of one or another result the analysis of project work flow indicators should be performed. The evaluation of project indicators during implementation is not easy task due to the lack of up to date data and indicators measuring problem. The purpose of the research was to analyze common project management problems, the success factors of construction projects and to illustrate how to assess a projects' execution efficiency by mean of the aggregated indicator in particular company. In case study the problem of project performance indicators selection was analyzed, the aggregated project's performance criterion was determined by applying the methods of multi-criteria analysis and logarithmic normalization method was applied. Results show that by using the aggregated indicators it is easy to compare the projects, the received impartial information is useful for strategic planning, quality management, for solving the tasks of resource allocation, motivational project evaluation.

[1]  Rafael Sacks,et al.  Assessing research issues in Automated Project Performance Control (APPC) , 2007 .

[2]  Chan Kyu Kim,et al.  Quantitative approach for project performance measurement on building construction in South Korea , 2011 .

[3]  Xianhai Meng,et al.  The effect of relationship management on project performance in construction , 2012 .

[4]  Walter D. Davis,et al.  Journal of Management High-performance Work Systems and Organizational Performance: the Mediating Role of Internal on Behalf Of: Southern Management Association , 2005 .

[5]  Faisal Manzoor Arain,et al.  Causes of variation orders in construction projects in the Gaza Strip , 2010 .

[6]  Tarek Hegazy,et al.  Email-based system for documenting construction as-built details , 2012 .

[7]  Alfred A. Marcus,et al.  Achieving competitive advantage through implementing a replicable management standard: Installing and using ISO 9000 , 2005 .

[8]  Gregory B. Baecher,et al.  A Decision-Making Model for Adoption of Enterprise Resource Planning Tools by Small-To-Medium Size Construction Organizations , 2012 .

[9]  Edmundas Kazimieras Zavadskas,et al.  Technology development in construction: a continuum from distant past into the future , 2013 .

[10]  Stephen O. Ogunlana,et al.  Large construction projects in developing countries: a case study from Vietnam , 2004 .

[11]  Peter W. G. Morris,et al.  Lessons in Managing Major Projects Successfully in a European Context , 1986 .

[12]  David Bryde,et al.  ISO 9000 certification and construction project performance: The Malaysian experience , 2011 .

[13]  Mike Kagioglou,et al.  Automating progress measurement of construction projects , 2009 .

[14]  Michael A Brown Construction Management: The management of the development, conservation and improvement of the built environment , 2012 .

[15]  Jieh-Haur Chen,et al.  Assessing impacts of information technology on project success through knowledge management practice , 2012 .

[16]  Saumyendu Ghosh,et al.  Identifying areas of knowledge governance for successful projects , 2012 .

[17]  John F. Tomer The Human Firm: A Socio-Economic Analysis of its Behaviour and Potential in a New Economic Age , 1999 .

[18]  R. Navon,et al.  Research in automated measurement of project performance indicators , 2007 .

[19]  Hung-Ming Chen,et al.  Visualized EVM system for assessing project performance , 2010 .

[20]  Edmundas Kazimieras Zavadskas,et al.  A New Logarithmic Normalization Method in Games Theory , 2008, Informatica.

[21]  Albert P.C. Chan,et al.  Factors Affecting the Success of a Construction Project , 2004 .

[22]  Danijel Rebolj,et al.  Automated construction activity monitoring system , 2008, Adv. Eng. Informatics.

[23]  D. Sharma The association between ISO 9000 certification and financial performance , 2005 .

[24]  X. Zhang,et al.  Towards automated progress assessment of workpackage components in construction projects using computer vision , 2009, Adv. Eng. Informatics.

[25]  Sankalp Chaturvedi,et al.  The Role of Procedural Justice and Power Distance in the Relationship Between High Performance Work Systems and Employee Attitudes: A Multilevel Perspective , 2009 .

[26]  I-Shuo Chen,et al.  A hybrid MCDM model encompassing AHP and COPRAS-G methods for selecting company supplier in Iran , 2012 .

[27]  Nang-Fei Pan,et al.  FUZZY AHP APPROACH FOR SELECTING THE SUITABLE BRIDGE CONSTRUCTION METHOD , 2008 .

[28]  Didier Gourc,et al.  Multi-criteria performance analysis for decision making in project management , 2011 .

[29]  Liyin Shen,et al.  Key assessment indicators for the sustainability of infrastructure projects , 2011 .

[30]  John F. Tomer Understanding high performance work systems: The joint contribution of economics and human resource management , 2001 .

[31]  Albert P.C. Chan,et al.  Determinants of Successful Design-Build Projects , 2008 .

[32]  Jie Gong,et al.  An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations , 2011 .

[33]  Edmundas Kazimieras Zavadskas,et al.  Multiple criteria analysis of foundation instalment alternatives by applying Additive Ratio Assessment (ARAS) method , 2010 .

[34]  Ching-Lai Hwang,et al.  Multiple attribute decision making : an introduction , 1995 .

[35]  A. Türk,et al.  ISO 9000 in construction: An examination of its application in Turkey , 2006 .

[36]  Li-Qun Wei,et al.  High performance work systems and performance: The role of adaptive capability , 2010 .

[37]  K. N. Jha,et al.  Factors affecting cost performance: evidence from Indian construction projects , 2005 .

[38]  Zenonas Turskis,et al.  Multi‐attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique , 2008 .

[39]  Maryam Darvish,et al.  Application of the graph theory and matrix methods to contractor ranking , 2009 .

[40]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .