Home > CSC-OpenAccess Library > Manuscript Information
EXPLORE PUBLICATIONS BY COUNTRIES |
 |
 |
EUROPE |
|
MIDDLE EAST |
|
ASIA |
|
AFRICA |
| ............................. | |
|
United States of America |
|
United Kingdom |
|
Canada |
|
Australia |
|
Italy |
|
France |
|
Brazil |
|
Germany |
|
Malaysia |
|
Turkey |
|
China |
|
Taiwan |
|
Japan |
|
Saudi Arabia |
|
Jordan |
|
Egypt |
|
United Arab Emirates |
|
India |
|
Nigeria |
Smart Sim Selector: A Software for Simulation Software Selection
Ashu Gupta, Rajesh Verma, Kawaljeet Singh
Pages - 175 - 185 | Revised - 05-08-2009 | Published - 01-09-2009
Published in International Journal of Engineering (IJE)
MORE INFORMATION
KEYWORDS
Simulation Software, Selection, Rating
ABSTRACT
In a period of continuous change in global business environment, organizations, large and small, are finding it increasingly difficult to deal with, and adjust to the demands for such change. Simulation is a powerful tool for allowing designers imagine new systems and enabling them to both quantify and observe behavior. Currently the market offers a variety of simulation software packages. Some are less expensive than others. Some are generic and can be used in a wide variety of application areas while others are more specific. Some have powerful features for modeling while others provide only basic features. Modeling approaches and strategies are different for different packages. Companies are seeking advice about the desirable features of software for manufacturing simulation, depending on the purpose of its use. Because of this, the importance of an adequate approach to simulation software selection is apparent.
Smart Sim Selector is a software developed for the purpose of providing support for users when selecting simulation software. Smart Sim Selector consists of a database which is linked to an interface developed using Visual Basic 6.0. The system queries a database and finds a simulation package suitable to the user, based on requirements which have been specified. This paper provides an insight into the development of Smart Sim Selector, in addition to the reasoning behind the system.
| 1 | Alomair, Y., Ahmad, I., & Alghamdi, A. (2015). A Review of Evaluation Methods and Techniques for Simulation Packages. Procedia Computer Science, 62, 249-256. |
| 2 | Azadeh, A., Nazari-Shirkouhi, S., Samadi, H., & Nazari-Shirkouhi, A. (2014). An integrated fuzzy group decision making approach for evaluation and selection of best simulation software packages. International Journal of Industrial and Systems Engineering, 18(2), 256-282. |
| 3 | Ayag, Z., Samanlioglu, F., & Yücekaya, A. (2012). Intelligent approach to simulation software evaluation. |
| 4 | Ayag, Z., Samanlioglu, F., & Yücekaya, A. (2012). Intelligent approach to simulation software evaluation. |
| 5 | Imam, I., Nounou, N., Hamouda, A., & Khalek, H. A. A. (2011, October). Survey of business process simulation tools: a comparative approach. In 2011 International Conference on Graphic and Image Processing (pp. 82853B-82853B). International Society for Optics and Photonics. |
| 6 | Ayag, Z. (2011). Evaluating simulation software alternatives through ANP. In Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia. |
| 7 | Ayag, z., & yücekaya, a. d. (2011). a-cut fuzzy analytic network process based approach to evaluate simulation software packages. |
| 1 | Google Scholar  |
| 2 | Academic Journals Database |
| 3 | Academic Index |
| 4 | CiteSeerX |
| 5 | refSeek |
| 6 | iSEEK |
| 7 | Socol@r |
| 8 | ResearchGATE |
| 9 | Libsearch |
| 10 | Bielefeld Academic Search Engine (BASE) |
| 11 | Scribd |
| 12 | SlideShare |
| 13 | PDFCAST |
| 14 | PdfSR |
| Banks, J., & Gibson, R. R. (1997). Selecting Simulation Software. IIE Solutions, 29(5): 30-32. | |
| Banks, J., Aviles, E., McLaughlin, J. R., & Yuan, R. C. (1991). The Simulator: New Member of the Simulation Family. Interfaces, 21(2): 76-86. | |
| Bovone, M., Ferrari, D. V. and Manuelli, R. (1989). How to Choose an Useful Simulation Software. In D. M. Smith, J. Stephenson, & R. N. Zobel (Eds.), Proceedings of the 1989 European Simulation Multiconference (pp. 39-43). SCS, San Diego: Society for Computer simulation International. | |
| Cellier, F. E. (1983). Simulation Software: Today and Tomorrow. In J. Burger, & Y. Jarny (Eds.), Proceedings of the IMACS International Symposium (pp. 3-19), Amsterdam: Elsevier Science Publishers. | |
| Hlupic, V., & Paul, R. J. (1999). Guidelines for Selection of Manufacturing Simulation Software. IIE Transactions, 31(1): 21-29. | |
| Holder, K. (1990). Selecting Simulation Software. OR Insight, 3(4): 19-24. | |
| Law, A. M., & Kelton, W. D. (1991). Simulation Modeling and Analysis. Singapore: McGraw-Hill. | |
| Nikoukaran, J., Hlupic, V., & Paul, R. J. (1999). A Hierarchical Framework for Evaluating Simulation Software. Simulation Practice and Theory, 7(3): 219-231 | |
| Popovic, A., Jaklic, J., & Vuksic, V. B. (2005). Business Process Change and Simulation Modeling. System Integration Journal, 13(2): 29-37. | |
| Seila, A. F., Ceric, V., & Tadikamalla, P. (2003). Applied Simulation Modeling. Australia: Thomson Learning | |
| Tewoldeberhan, T. W., Verbraeck, A., Valentin E., & Bardonnet, G. (2002). An Evaluation and Selection Methodology for Discrete-Event Simulation Software. In E. Ycesan, J. L. Snowdon, J. M. Charnes, & J. Wayne (Eds.), Proceedings of the 2002 Winter Simulation Conference (pp. 67-75). Boston: Kluwer Academic Publisher | |
| Tocher, K. D. (1965). Review of Simulation Languages. Operational Research Quarterly, 16(2): 189-217. | |
| Verma, R., Gupta, A., & Singh, K. (2009). A Critical Evaluation and Comparison of Four Manufacturing Simulation Softwares. International Journal of Science, Engineering and Technology, 5(1): 104-120. | |
Mr. Ashu Gupta
- India
guptashu1@rediffmail.com
Dr. Rajesh Verma
- India
Dr. Kawaljeet Singh
- India
|
|
|
|
| View all special issues >> | |
|
|
