Complexity Measurement in Engineering Projects Using Factor Analysis and the Single Multi-Attribute Rating Technique Exploiting Ranks (SMARTER)

A lot of problems that emanate from complexity could have been mitigated or even avoided, if the factors that render a project complex and the risks that they induce, were fully comprehensible in order for a more appropriate management process to be established. The aim of this study is the comprehension of the meaning of complexity in engineering projects through the identification of the factors that affects it based on which a project complexity measurement model is proposed. To that end an extensive literature review has been conducted in order to detect as many factors already identified by previous researchers as possible and to categorize them in a way that can integrate the existing theoretical and empirical approaches. Through that study, 21 factors that contribute to the complexity of engineering projects were distinguished. Afterwards, following the results of a questionnaire survey that was carried out and upon implementing factor analysis on its data, 7 key factors were discerned as the main components of the complexity variables. Finally, using a simplified method of multiple-criteria decision analysis, namely Single Multi Attribute Rating Technique Exploiting Ranking – SMARTER, a practical and approachable model of complexity measurement has been introduced, named Complexity Level Indicator – CLI.

[1]  Avril Thomson,et al.  Measuring Project Complexity: A Project Manager's Tool , 2006 .

[2]  Ludovic-Alexandre Vidal,et al.  Understanding project complexity: implications on project management , 2008, Kybernetes.

[3]  P. Goodwin,et al.  Weight approximations in multi-attribute decision models , 2002 .

[4]  F. H. Barron,et al.  SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement , 1994 .

[5]  D. Snowden,et al.  A leader's framework for decision making , 2007 .

[6]  David L. Olson,et al.  Decision Aids for Selection Problems , 1995 .

[7]  K. I. Gidado,et al.  Project complexity: The focal point of construction production planning , 1996 .

[8]  Alexander Verbraeck,et al.  Grasping project complexity in large engineering projects: The TOE (Technical, Organizational and Environmental) framework , 2011 .

[9]  Rodney Turner,et al.  A model of project complexity : distinguishing dimensions of complexity from severity , 2009 .

[10]  Joana G. Geraldi,et al.  What complexity assessments can tell us about projects: dialogue between conception and perception , 2009, Technol. Anal. Strateg. Manag..

[11]  Bruce Edmonds,et al.  Syntactic Measures of Complexity , 1999 .

[12]  Albert P.C. Chan,et al.  Measuring complexity for building projects: a Delphi study , 2012 .

[13]  F. Marle,et al.  Modèles d'information et méthodes pour aider à la prise de décision en management de projets , 2002 .

[14]  David J. Weiss,et al.  SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement , 2008 .

[15]  D. Snowden,et al.  A leader's framework for decision making. A leader's framework for decision making. , 2007, Harvard business review.

[16]  Marian Bosch-Rekveldt Managing project complexity : A study into adapting early project phases to improve project performance in large engineering projects , 2011 .

[17]  S. Page Uncertainty, Difficulty, and Complexity , 2008 .

[18]  Bruce E. Barrett,et al.  The efficacy of SMARTER — Simple Multi-Attribute Rating Technique Extended to Ranking , 1996 .

[19]  Simon A. Austin,et al.  Modelling and managing project complexity , 2002 .

[20]  Harvey Maylor,et al.  Now, let's make it really complex (complicated): A systematic review of the complexities of projects , 2011 .

[21]  Ludovic-Alexandre Vidal,et al.  Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects , 2011, Expert Syst. Appl..

[22]  David Baccarini,et al.  The concept of project complexity—a review , 1996 .