Decision support model for ranking project network activities based on multiple criteria of precedence, duration and cost

This paper proposes a decision support model for ranking project network activities and classifying those activities into groups. The model is based on multiple criteria (indexes) that derived from the precedence, duration and cost of the activities. The uniqueness of the model is that the weights of the ranking criteria of the project activities are objectively evaluated by applying data envelopment analysis (DEA) methodology. The model is applicable to any type of project. An illustrative example demonstrates the applicability of the model. The proposed model can help project managers allot their managerial efforts and care to the most important activities.

[1]  Mario Vanhoucke,et al.  Using activity sensitivity and network topology information to monitor project time performance , 2010 .

[2]  Ekambaram Palaneeswaran,et al.  The use of enhanced positional weight method for constrained resources project scheduling , 1999 .

[3]  Y. Gousty,et al.  An integrated approach to project evaluation and selection , 1988 .

[4]  Erik Demeulemeester,et al.  Project risk management: A new approach , 2011, 2011 IEEE International Conference on Industrial Engineering and Engineering Management.

[5]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[6]  P. Andersen,et al.  A procedure for ranking efficient units in data envelopment analysis , 1993 .

[7]  Aybüke Aurum,et al.  The impact of project capabilities on project performance: Case of open source software projects , 2012 .

[8]  Madjid Tavana,et al.  A methodology for selecting portfolios of projects with interactions and under uncertainty , 2012 .

[9]  Kt Yeo Project cost sensitivity and variability analysis , 1991 .

[10]  Constantin Zopounidis,et al.  Multicriteria classification and sorting methods: A literature review , 2002, Eur. J. Oper. Res..

[11]  Salah E. Elmaghraby On criticality and sensitivity in activity networks , 2000, Eur. J. Oper. Res..

[12]  B. Yum,et al.  An uncertainty importance measure of activities in PERT networks , 1997 .

[13]  William W. Cooper,et al.  Measures of inefficiency in data envelopment analysis and stochastic frontier estimation , 1997 .

[14]  Denis F. Cioffi A tool for managing projects: an analytic parameterization of the S-curve , 2005 .

[15]  S French,et al.  Multicriteria Methodology for Decision Aiding , 1996 .

[16]  Michael Z. Hanani,et al.  Combining the AHP and DEA methodologies for selecting the best alternative , 2011 .

[17]  Kum Khiong Yang A comparison of dispatching rules for executing a resource-constrained project with estimated activity durations , 1998 .

[18]  Martina Huemann,et al.  Human resource management in the project-oriented organization: Employee well-being and ethical treatment , 2008 .

[19]  J. J. Martin Distribution of the Time Through a Directed, Acyclic Network , 1965 .

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

[21]  Mario Vanhoucke Measuring the efficiency of project control using fictitious and empirical project data , 2012 .

[22]  Khalied Hyari,et al.  Utilizing data envelopment analysis to benchmark safety performance of construction contractors , 2010 .

[23]  Baruch Keren,et al.  A decision-making support system module for project manager selection according to past performance , 2013 .

[24]  David L. McLain,et al.  Quantifying Project Characteristics Related to Uncertainty , 2009 .

[25]  Van Slyke,et al.  MONTE CARLO METHODS AND THE PERT PROBLEM , 1963 .

[26]  Terry Williams Criticality in Stochastic Networks , 1992 .

[27]  Luciana Hazin Alencar,et al.  A multiple criteria decision model for assigning priorities to activities in project management , 2009 .

[28]  Qing Cao,et al.  A case study approach for developing a project performance evaluation system , 2011 .

[29]  Ramakrishnan Ramanathan,et al.  ABC inventory classification with multiple-criteria using weighted linear optimization , 2006, Comput. Oper. Res..