A selection process for discrete event computer simulation (DECS) software is discussed from a theoretical perspective. A survey of practitioners is conducted to examine identified components of simulation software and identify which attributes are considered to be of primary importance in the software selection process. The results of the study indicate a numberoffactors relevant to a decision on which type of software might be selected to conduct a given project. Based on data obtainedfrom practitioners, a set of recommendations that are generalizable to a variety of DECS package evaluation procedures are made by the authors.
Adelman, L.
, & Donnell, M. L. (1986). Evaluating decision support systems: A general frame-work and case study. In Stephen J. Andriole (Ed.), Microcomputer decision support systems: Design, implementation, and evaluation (pp. 285-309). Wellesley, MA: QED Information Sciences.
2.
Alter, S.
(1977, Fall). A taxonomy of decision support systems. Sloan Management Review, pp. 37-56.
3.
Banks, J.
(1991). Selecting simulation software. Paper presented at the 1991 Winter Simulation Conference, San Diego, CA.
4.
Baskt, J.
, Hoffner, J., & Jacoby, K. (1996). Evaluation of a distribution center tow-line material handling system through simulation modeling. Paper presented at the 1996 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA.
5.
Brunner, D. T.
(1988). Easy to use simulation "packages": What can you really model? Paper presented at the 1988 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA.
6.
Farahmand, K.
, & Martinez, A. F. (1996). Simulation and animation of the operation ofa fast food restaurant. Paper presented at the 1996 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA.
7.
Gogg, T. J.
, & Mott, J. R. (1992). Improve quality and productivity with simulation. Palos Verdes, CA: JMI Consulting Group.
8.
Grant, J. W.
, & Weiner, S. A. (1986, August). Factors to consider in choosing a graphically animated simulation system. Industrial Engineering, pp. 37-40, 65-68.
9.
Haider, S. W.
, & Banks, J. (1986, July). Simulation software products for analyzing manufacturing systems. Industrial Engineering, pp. 98-103.
10.
Harrell, C. R.
, & Field, K. C. (1996). Integrating process mapping and simulation (pp. 1292-1296. Proceedings of the 1996 Winter Simulation Conference, Society for Computer Simulation, San Diego, CA.
11.
Henriksen, J. O.
, & Crain, R. C. (1989). GPSS/H reference manual (3rd ed.). Annandale, VA: Wolverine Software Corporation.
12.
Johnson, J. L.
, & Tyniec, J. W. (1994, February). Selecting software products and vendors. Best's Review, pp. 84-87.
13.
Klein, G.
, & Beck, P. O. (1987, June). A decision aid for selecting among information system alternatives. MIS Quarterly, pp. 177-185.
14.
Law, A. M.
, & Haider, S. W. (1989, May). Selecting simulation software for manufacturing applications: Practical guidelines and software survey. Industrial Engineering, pp. 33-46.
15.
Law, A. M.
, & Kelton, W. D. (1982). Simulation modeling and analysis. New York: McGraw-Hill.
16.
Law, A. M.
, & McComas, M. G. (1992, July). How to select simulation software for manufacturing applications. Industrial Engineering, pp. 29-35.
17.
LeBlanc, L. A.
, & Jelassi, M. T. (1989). DSS software selection: A multiple criteria decision methodology. Information and Management, 17, 49-65.
18.
McHaney, R. W.
(1991). Computer simulation: A practical perspective. San Diego, CA: Academic Press.
19.
McHaney, R. W.
(1992, May). Six symptoms of a sick simulation. Manufacturing Systems, pp. 44-47.
20.
McHaney, R. W.
(1995). Modeling battery constraints in discrete event automated guided vehicle simulation. International Journal of Production Research, 33 (11), 3023-3040.
21.
Might, R. J.
(1993). Principles for the design and selection of combat simulations. Simulation & Gaming: An International Journal, 242, 190-212.
22.
Min, H.
(1992). Selection of software: The analytic hierarchy process. International Journal of Physical Distribution and Logistics Management, 22 (1), 42-52.
23.
Naumann, J. D.
, & Palvia, S. (1982, March). A selection model for systems development to OLS. MIS Quarterly, pp. 39-48.
24.
Nwoke, B. U.
, & Nelson, D. R. (1993, July). An overview of simulation in manufacturing. Industrial Engineering, pp. 43-57.
25.
Pegdon, C. D.
, Shannon, R. E., & Sadowski, R. P. (1990). Introduction to simulation using SIMAN. New York: McGraw-Hill.
26.
Riemann, B. C.
, & Warren, A. D. (1985). User-oriented criteria forthe selection of DSS software. Communications of the ACM, 28 (2), 166-179.
27.
Sussman, P.
(1984, October). Evaluating decision support software. Datamation, pp. 171-172.
28.
Swain, J.
(1991, October). World of choices. OR/MS Today, pp. 81-97.
29.
Turban, E.
(1990). Decision support and expert systems. New York: Macmillan.
30.
Wild, W. G. Jr.
, & Port, O. (1987, August 17). This video game is saving manufacturers millions. Business Week, pp. 82-84.
