Int. J. of Industrial and Systems Engineering   »   2014 Vol.18, No.2

 

 

Title: An integrated fuzzy group decision making approach for evaluation and selection of best simulation software packages

 

Authors: Ali Azadeh; Salman Nazari-Shirkouhi; Homa Samadi; Amin Nazari-Shirkouhi

 

Addresses:
School of Industrial and Systems Engineering, Centre of Excellence for Intelligent Based Experimental Mechanics, Department of Engineering Optimisation Research, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran
School of Industrial and Systems Engineering, College of Engineering, University of Tehran, P.O. Box 11155-4563, Tehran, Iran
Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, P.O. Box 17438-54745, Tehran, Iran
Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, P.O. Box 34185-1416, Qazvin, Iran

 

Abstract: Today techniques of system simulation have become an important tool in the modern decision making science. Selecting an inappropriate simulation software package could lead to incorrect results and costly and adversely effects on organisational performance. The success of simulation depends on the ability to select a suitable simulation software package for an intended application. This study presents an integrated approach for evaluation and selection of best simulation software packages. Due to the strategic nature of this issue, the proposed approach includes: 1) criteria extracted from the literature on evaluating simulation software packages; 2) a framework based on fuzzy analytical hierarchy process (fuzzy AHP) and fuzzy technique for order performance by similarity to ideal solution (fuzzy TOPSIS), for selecting simulation software package; 3) an empirical study with data gathered from experts' judgment to show applicability and superiority of the proposed model. In addition, the results are validated through sensitivity analysis.

 

Keywords: simulation software; software selection; fuzzy logic; analytical hierarchy process; fuzzy AHP; fuzzy TOPSIS; fuzzy group decision making; software evaluation.

 

DOI: 10.1504/IJISE.2014.064709

 

Int. J. of Industrial and Systems Engineering, 2014 Vol.18, No.2, pp.256 - 282

 

Available online: 04 Sep 2014

 

 

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