Multiple Criteria Decision Support System for Assessment of Projects Managers in Construction

Construction processes planning and effective management are extremely important for success in construction business. Head of a design must be well experienced in initiating, planning, and executing of construction projects. Therefore, proper assessment of design projects' managers is a vital part of construction process. The paper deals with an effective methodology that might serve as a decision support aid in assessing project managers. Project managers' different characteristics are considered to be more or less important for the effective management of the project. Qualifying of managers is based on laws in force and sustainability of project management involving determination of attributes value and weights by applying analytic hierarchy process (AHP) and expert judgement methods. For managers' assessment and decision supporting is used additive ratio assessment method (ARAS). The model, presented in this study, shows that the three different methods combined (ARAS method aggregated together with the AHP method and the expert judgement method) is an effective tool for multiple criteria decision aiding. As a tool for the assessment of the developed model, was developed multiple criteria decision support system (MCDSS) weighting and assessment of ratios (WEAR) software. The solution results show that the created model, selected methods and MCDSS WEAR can be applied in practice as an effective decision aid.

[1]  Honggang Wang,et al.  Empirical Evaluation of Classifiers for Software Risk Management , 2009, Int. J. Inf. Technol. Decis. Mak..

[2]  Zenonas Turskis,et al.  Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection , 2012 .

[3]  Karel Skokan.  Technological and Economic Development of Economy , 2011 .

[4]  Mohammed Fadhil Dulaimi,et al.  JOB BEHAVIOR OF CONSTRUCTION PROJECT MANAGERS: DETERMINANTS AND ASSESSMENT , 1999 .

[5]  Henrikas Sivilevičius,et al.  The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method , 2010 .

[6]  Sławomir Biruk,et al.  Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment , 2010 .

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

[8]  Thomas L. Saaty,et al.  Negotiating the Israeli-Palestinian Controversy from a New Perspective , 2011, Int. J. Inf. Technol. Decis. Mak..

[9]  Gang Kou,et al.  A simple method to improve the consistency ratio of the pair-wise comparison matrix in ANP , 2011, Eur. J. Oper. Res..

[10]  Sam Drake,et al.  Benchmarking enhancements to a decision support system for global crop production assessments , 2011, Expert Syst. Appl..

[11]  Thomas L. Saaty,et al.  Structures in decision making: On the subjective geometry of hierarchies and networks , 2009, Eur. J. Oper. Res..

[12]  Cindy L. Menches,et al.  Quantitative Measurement of Successful Performance from the Project Manager’s Perspective , 2006 .

[13]  Daniel G. Bachrach,et al.  The Role of Operational Interdependence and Supervisory Experience on Management Assessments of Resource Planning Systems , 2008 .

[14]  Edmundas Kazimieras Zavadskas,et al.  Contractor selection for construction works by applying saw‐g and topsis grey techniques , 2010 .

[15]  Leonas Ustinovichius,et al.  Attributes Weights Determining Peculiarities in Multiple Attribute Decision Making Methods , 2010 .

[16]  Edmundas Kazimieras Zavadskas,et al.  Multi-Attribute Decision-Making Model by Applying Grey Numbers , 2009, Informatica.

[17]  Miroslaw J. Skibniewski,et al.  Evaluation of Advanced Construction Technology with AHP Method , 1992 .

[18]  Yong-Huang Lin,et al.  Multi-attribute group decision making model under the condition of uncertain information , 2008 .

[19]  Edmundas Kazimieras Zavadskas,et al.  Risk assessment of construction projects , 2010 .

[20]  Metin Dagdeviren,et al.  A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL) , 2010, Expert Syst. Appl..

[21]  Edmundas Kazimieras Zavadskas,et al.  Selection of construction enterprises management strategy based on the SWOT and multi-criteria analysis , 2011 .

[22]  Kevin Kam Fung Yuen.  The Primitive Cognitive Network Process: Comparisons with the Analytic Hierarchy Process , 2011, Int. J. Inf. Technol. Decis. Mak..

[23]  Miroslaw J. Skibniewski,et al.  Using an integrated model for shaft sinking method selection , 2011 .

[24]  Min-Yuan Cheng,et al.  Project success prediction using an evolutionary support vector machine inference model , 2010 .

[25]  Gang Kou,et al.  Multiple criteria decision making and decision support systems - Guest editor's introduction , 2011, Decis. Support Syst..

[26]  Shuliang Li,et al.  Hybridising human judgment, AHP, simulation and a fuzzy expert system for strategy formulation under uncertainty , 2009, Expert Syst. Appl..

[27]  M. Kendall.  Rank Correlation Methods , 1949 .

[28]  Thomas L. Saaty,et al.  Decision making with the analytic network process , 2013 .

[29]  Thomas L. Saaty,et al.  An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making: Prioritizing divergent intangible humane acts , 2011, Eur. J. Oper. Res..

[30]  Hosein Didehkhani,et al.  Weighted Prioritization Models in the Fuzzy Analytic Hierarchy Process , 2011, Int. J. Inf. Technol. Decis. Mak..

[31]  Cengiz Kahraman,et al.  Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network , 2009, Expert Syst. Appl..

[32]  Karim El–Dash,et al.  Assessing Human Resource Management in Construction Projects in Kuwait , 2007 .

[33]  AMY H. I. LEE,et al.  An Integrated Interpretive Structural Modeling-Fuzzy analytic Network Process-Benefits, Opportunities, Costs and Risks Model for Selecting Technologies , 2011, Int. J. Inf. Technol. Decis. Mak..

[34]  Valentinas Podvezko,et al.  Complex evaluation of contracts for construction , 2010 .

[35]  Henrikas Sivilevičius,et al.  Modelling the interaction of transport system elements , 2011 .

[36]  E. Zavadskas,et al.  Multiple criteria decision making (MCDM) methods in economics: an overview , 2011 .

[37]  Ozgur Turetken,et al.  A model-based DSS for integrating the impact of learning in project control , 2009, Decis. Support Syst..

[38]  Edmundas Kazimieras Zavadskas,et al.  A new additive ratio assessment (ARAS) method in multicriteria decision‐making , 2010 .

[39]  Artūras Kaklauskas,et al.  Integrated model and system for passive houses multiple criteria analysis , 2011 .

[40]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making — An Overview , 1992 .

[41]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[42]  LiShuliang,et al.  Hybridising human judgment, AHP, simulation and a fuzzy expert system for strategy formulation under uncertainty , 2009 .

[43]  Andrew R.J. Dainty,et al.  Evaluation of key practices under the Local Improvement Finance Trust (LIFT) initiative for UK healthcare facilities , 2009 .

[44]  Charles B. Daniels,et al.  Improving Leadership in a Technical Environment: A Case Example of the ConITS Leadership Institute , 2009 .

[45]  Henrikas Sivilevičius,et al.  Application of Expert Evaluation Method to Determine the Importance of Operating Asphalt Mixing Plant Quality Criteria and Rank Correlation , 2011 .

[46]  Yi Peng,et al.  Ensemble of Software Defect Predictors: an AHP-Based Evaluation Method , 2011, Int. J. Inf. Technol. Decis. Mak..

[47]  Charles O. Skipper,et al.  Assessment with 360° Evaluations of Leadership Behavior in Construction Project Managers , 2006 .

[48]  Edmundas Kazimieras Zavadskas,et al.  Design projects' managers ranking based on their multiple experience and technical skills , 2010 .

[49]  Ufuk Cebeci,et al.  Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard , 2009, Expert Syst. Appl..

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

[51]  E. Zavadskas,et al.  A new fuzzy additive ratio assessment method (ARAS‐F). Case study: The analysis of fuzzy multiple criteria in order to select the logistic centers location , 2010 .

[52]  David Arditi,et al.  Managerial Competencies of Female and Male Construction Managers , 2009 .

[53]  GANG KOU,et al.  Structural Model for Determining Enterprise Group’s Integrated Lines of Credit , 2011, Int. J. Inf. Technol. Decis. Mak..

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

[55]  Elliot Bendoly,et al.  Multilevel Social Dynamics Considerations for Project Management Decision Makers: Antecedents and Implications of Group Member Tie Development , 2010, Decis. Sci..

[56]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[57]  Cengiz Kahraman,et al.  A fuzzy approach to e-banking website quality assessment based on an integrated AHP-ELECTRE method , 2011 .

[58]  Jeffrey S. Russell,et al.  CONTINUOUS ASSESSMENT OF PROJECT PERFORMANCE , 1997 .

[59]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[60]  Ana Nieto-Morote,et al.  A Fuzzy AHP Multi-Criteria Decision-Making Approach Applied to Combined Cooling, heating, and Power Production Systems , 2011, Int. J. Inf. Technol. Decis. Mak..

[61]  Edmundas Kazimieras Zavadskas,et al.  Model of Construction Design Projects' Managers Qualifying by Applying Analytic Hierarchy Process and Bayes Rule , 2009 .

[62]  Edmundas Kazimieras Zavadskas,et al.  A Novel Method for Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) Method , 2010, Informatica.

[63]  Edmundas Kazimieras Zavadskas,et al.  Multicriteria selection of project managers by applying grey criteria , 2008 .

[64]  W. Marsden.  I and J , 2012 .

[65]  Edmundas Kazimieras Zavadskas,et al.  Multiple criteria assessment of alternatives for built and human environment renovation , 2010 .

[66]  Geoffrey Qiping Shen,et al.  Exploring critical success factors for stakeholder management in construction projects , 2009 .

[67]  Tanaya Korde,et al.  Visual representation of construction management data , 2009 .