Abstract
The ideas and methods of Visual Interactive Simulation (VIS) are nearly fifteen years old, yet are still often misunderstood or misrepresented. It is argued that VIS is primarily a methodology, a way of solving problems with simulation modeling, not necessarily a way of building simulation models. Two distinct methodologies are identified, namely active and passive VIS. It is shown that simulation languages and packages tend to implicitly employ a particular methodology, and that each approach requires a different problem-solving life cycle. Present research, and necessary future research, are reviewed from our methodological perspective.
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References
A.P. Amiry, The simulation of information flow in a steelmaking plant, in:Digital Simulation in Operational Research, ed. S. Hollingdale (English Universities Press, London, England, 1965).
A.A. Angehrn and H.-K. Luthi, Intelligent decision support systems: a visual interactive approach, Interfaces 20(1990)17–28.
V. Bazjanac, Interactive simulation of building evacuation with elevators,Proc. 9th Annual Simulation Symp. (1976) pp. 15–29.
P.C. Bell, Visual interactive modelling in operational research: successes and opportunities, J. Oper. Res. Soc. 36(1985)975–982.
P.C. Bell, Visual interactive modelling in 1986, in:Recent Developments in Operational Research, ed. V. Belton and R.M. O'Keefe (Pergamon Press, Oxford, England, 1986).
P.C. Bell, Stochastic visual interactive simulation models, J. Oper. Res. Soc. 40(1989)615–624.
P.C. Bell and P. Chau, Decision support for the design of a new production plant using visual interactive simulation, Working Paper 92-21, Western Business School, London, Ontario, Canada (1992).
P.C. Bell and P. Chau, An empirical assessment of three types of simulation models used in developing decision support systems, Working Paper 892-20, Western Business School, London, Ontario, Canada (1992).
P.C. Bell and R.M. O'Keefe, Visual interactive simulation — history, recent developments and major issues, Simulation 49(1987)109–116.
P.C. Bell and D.C. Parker, Developing a visual interactive model for corporate cash management, J. Oper. Res. Soc. 36(1985)779–786.
I. Benbasat, A.S. Dexter and P. Todd, The influence of color and graphical information presentation in a managerial decision simulation, Human Comp. Interaction 2(1986)65–92.
J.N. Billington, Visual interactive modelling and manpower planning, Euro. J. Oper. Res. 30(1987)77–84.
J.L. Bishop and O. Balci, General purpose visual simulation system,Proc. Winter Simulation Conf. (1990) pp. 504–512.
M.F. Clark,Witness: unlocking the power of visual interactive simulation, Euro. J. Oper. Res. 54(1991)293–298.
G. Chryssolouris, M. Lee, J. Pierce and M. Domroese, Use of neural networks for the design of manufacturing systems, Manufac. Rev. 3(1990)187–194.
K. Concannon and S. Tudor, Insights into railroad operations, OR/MS Today (December 1992) 40–44.
R. Conway, W.L. Maxwell and S.L. Worona,User's Guide to Xcell Factory Modeling System (Scientific Press, Redwood City, CA, 1985).
J.G. Crookes, Simulation in 1981, Euro. J. Oper. Res. 9(1982)1–7.
E.J. Derrick and O. Balci,Domino: a multifaced conceptual framework for visual simulation modeling, Technical Report TR-92-43, Department of Computer Science, Virginia Tech, Blacksburg, VA (1992).
E.J. Derrick and O. Balci, A visual simulation support environment based on theDomino conceptual framework, Technical Report TR-92-44, Department of Computer Science, Virginia Tech, Blacksburg, VA (1992).
E. Fiddy, J.G. Bright and R.D. Hurrion,See-Why: interactive simulation on the screen, Proc. Inst. Mech. Eng. C293/18(1981)167–172.
P.A. Fishwick, The role of process abstraction in simulation, IEEE Trans. Syst., Man, Cybern. SMC-18(1988)18–39.
A.M. Flitman and R.D. Hurrion, Linking discrete event simulation models with expert systems, J. Oper. Res. Soc. 38(1987)723–733.
M. Garman, Solving combinatorial decision problems via interactive computer graphics with applications in job-shop scheduling, Ph.D. Thesis, Carnegie-Mellon University (1970).
K.J. Gordon, R.F. Gordon, J.F. Kurose and E.A. MacNair, An extensible visual environment for construction and analysis of hierarchically-structured models of resource contention systems, Manag. Sci. 37(1991)714–732.
P.R. Hills,Simon — a computer simulation language in Algol 60, in:Digital Simulation in Operational Research, ed. S. Hollingdale (English Universities Press, London, England, 1965).
R.D. Hurrion, The design, use and required facilities of an interactive visual computer simulation language to explore production planning problems, Ph.D. Thesis, University of London, England (1976).
R.D. Hurrion, An investigation of visual interactive simulation methods using the job-shop scheduling problem, J. Oper. Res. Soc. 29(1978)1085–1093.
R.D. Hurrion, An interactive visual simulation system for industrial management, Euro. J. Oper. Res. 3(1980)86–93.
R.D. Hurrion, Intelligent visual interactive modelling, Euro. J. Oper. Res. 54(1991)349–356.
R.D. Hurrion, Using a neural network to enhance the decision making quality of a visual interactive simulation model, J. Oper. Res. Soc. 43(1992)333–342.
R.D. Hurrion and R.J.R. Secker, Visual interactive simulation: an aid to decision making, Omega 6(1978)419–426.
E.L. Hutchins, J.D. Hollan and D.A. Norman, Direct manipulation interfaces, in:User Centered System Design: New Perspectives on Human-Computer Interaction, ed. D.A. Norman and S.W. Draper (Lawrence Erlbaum, Hillsdale, NJ, 1986).
C.V. Jones, The three-dimensional Gantt chart, Oper. Res. 36(1988)891–903.
C.V. Jones, An introduction to graph-based modeling systems, part I: overview, ORSA J. Comp. 2(1990)136–151.
C.V. Jones, Animated sensitivity analysis, in:Computer Science and Operations Research, ed. O. Balci, R. Sharda and S.A. Zenios (Pergamon Press, Oxford, UK, 1992).
C.V. Jones, Sensitivity analysis and the travelling salesman problem: a visual interactive approach, presented at theORSA/TIMS Joint National Meeting, San Francisco (1992).
C.V. Jones, An introduction to graph-based modeling systems, part II: graph-grammars and the implementation, ORSA J. Comp. 3(1992)180–206.
J.J. Kanet and V. Sridharan, The electronic leitstand: a new tool for shop scheduling, Manufac. Rev. 3(1990)161–170.
J.S. Keen,Managing Systems Development, 2nd ed. (Wiley, New York, 1987).
P.G.W. Keen and M.S. Scott-Morton,Decision Support Systems: An Organizational Perspective (Addison-Wesley, Reading, MA, 1978).
P. Kirkpatrick and P.C. Bell, Visual interactive modeling in industry: results from a survey of visual interactive model builders, Interfaces 19(1989)71–79.
P. Kirkpatrick and P.C. Bell, Simulation and modelling: a comparison of visual interactive and traditional approaches, Euro. J. Oper. Res. 39(1989)138–149.
A.M. Law and M.G. McComas, Pitfalls in the simulation of manufacturing systems, Indust. Eng. 21(1989)28–31.
M.R. Lembersky and U.H. Chi, Decision simulators speed implementation and improve operations, Interfaces 27(1984)1–15.
T.P. Liang, H. Moskowitz and Y. Yih, Integrating neural networks and semi-Markov processes for automated knowledge acquisition: an application to real-time scheduling, Dec. Sci. 23(1992).
J.B. Macintosh, R.W. Hawkins and C.J. Shepard, Simulation on microcomputers — the development of a visual interactive modelling philosophy,Proc. Winter Simulation Conf. (1984) pp. 531–537.
K.M. Matwiczak, Interactive simulation: let the user beware!,Proc. Winter Simulation Conf. (1990) pp. 453–457.
B. Melamed and R.J.T. Morris, Visual simulation: the performance analysis workstation, IEEE Comp. 18(1985)87–94.
R.M. O'Keefe, Truly interactive simulation: Inter_SIM, in:Simulation and Modeling on Microcomputers: 1985, ed. R. Greer Leavy (Society for Computer Simulation, La Jolla, CA, 1985).
R.M. O'Keefe, Simulation and expert systems: a taxonomy and some examples, Simulation 46(1986)10–16.
R.M. O'Keefe, An interactive simulation description interpreter, Comp. Oper. Res. 14(1987)273–283.
R.M. O'Keefe, What is visual interactive simulation? And is there a methodology for doing it right?,Proc. Winter Simulation Conf. (1987) pp. 461–464.
R.M. O'Keefe and P.C. Bell, Findings from behavioral research in visual interactive simulation,Proc. Winter Simulation Conf. (1992) pp. 751–755.
R.M. O'Keefe and R.M. Davies, A microcomputer system for simulation modelling, Euro. J. Oper. Res. 24(1986)23–29.
R.M. O'Keefe and J. Haddock, Data-driven generic simulators for Flexible Manufacturing Systems, Int. J. Prod. Res. 29(1991)1795–1810.
R.M. O'Keefe and I.L. Pitt, Interaction with a visual interactive simulation, and the effect of cognitive style, Euro. J. Oper. Res. 54(1991)339–348.
J. Palme, Moving pictures show simulation to user, Simulation 29(1977)204–209.
D.C. Parker, Visual interactive financial models, an overview of microcomputer software offerings and discussion of potential decision support, Euro. J. Oper. Res. 54(1991)330–338.
H. Pierreval and H. Ralambondrainy, A simulation and learning technique for generating knowledge about manufacturing systems behavior, J. Oper. Res. Soc. 41(1990)461–474.
M. Rooks, A user-centered paradigm for interactive simulation, Simulation 60(1993)168–180.
L. Schruben,Sigma (Scientific Press, Redwood City, CA, 1992).
R.G. Sargent, The use of graphical models in model validation,Proc. Winter Simulation Conf. (1986) pp. 237–241.
B. Shneiderman, Direct manipulation: a step beyond programming languages, IEEE Comp. C-16(1983)57–69.
R. Vujosevic, Object oriented visual simulation,Proc. Winter Simulation Conf. (1990) pp. 490–498.
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Bell, P.C., O'Keefe, R.M. Visual interactive simulation: A methodological perspective. Ann Oper Res 53, 321–342 (1994). https://doi.org/10.1007/BF02136833
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DOI: https://doi.org/10.1007/BF02136833