SIMULATION: Transactions of The Society for Modeling and Simulation International

Mumford, Don; Blood, Christopher

doi: 10.1177/003754979706800501pmid: N/A

Hill, David; Coquillard, Patrick; de Vaugelas, Jean

doi: 10.1177/003754979706800502pmid: N/A

In the middle of the eighties, the French coast of the Mediterranean Sea (in the vicinity of Monaco) had been the initial site of the development of Caulerpa taxifolia, a tropical alga introduced by mistake. At the present time, this species has colonized several thousand acres of the French coast and has been detected at numerous points of the north-Mediterranean coast from Messina (Italy) to the Baleares Islands (Spain). Since the colonization of the French coast presented an impressive growth rate, and in order to forecast the development of Caulerpa, a simulation study was engaged. The purpose of the study is to evaluate Caulerpa propagation by means of an algorithmic computer model involving less restrictions than a mathematical model. This paper proposes the coupling of a Geographical Information System with a discrete-event simulation model that has to cope with incomplete data and sampling difficulties encountered in the hostile environment of the sea. This paper also presents an effort of collaboration between scientists of different disciplines.

Wan, Hakman A.; Hunter, Andrew

doi: 10.1177/003754979706800503pmid: N/A

The complex behavior of share prices in a stock market is studied under a modeling technique of artificial adaptive agents. Individual agents who are active in the market are identified and represented by mathematical functions. Share price is then determined by an arithmetic sum of these functions. Iterations of the models produce a time series of share prices, which exhibits nonlinearities similar to those found in real-world stock markets. Several experiments are reported in this paper. The wealth held by an agent at the beginning of the experiment and the method by which the agent adapts himself to market trends are shown to be important to the success of the agent.

Runciman, Neil; Vagenas, Nick; Corkal, Tom

doi: 10.1177/003754979706800504pmid: N/A

This paper discusses the application of discrete-event simulation with animation to solve a haulage system problem in an underground hardrock mine in the Sudbury mining region in Ontario, Canada. The PC simulation software WITNESS, by the Lanner Group, was used to create the simulation models of the mine haulage systems.The simulation study is applied to determine if a chute system could be used in place of the current Load-Haul-Dump (LHD) loading system to load the haulage trucks. The current haulage system operates using a single LHD to load up to two trucks in a loading area near the stopes. The simulation models were also used to determine if a truck fleet which is loaded by a chute could exceed the throughput of the current haulage system and meet future production demands of the mine.Data collected from the mine was used to validate the simulation model of the current hauling practices on the 2400 foot level of the mine. Analysis of the results indicated that the chute system could provide an increase in the system throughput when one or two trucks operate in the system.

Nickell, Thomas

doi: 10.1177/003754979706800505pmid: N/A

doi: 10.1177/003754979706800506pmid: N/A

doi: 10.1177/003754979706800507pmid: N/A

doi: 10.1177/003754979706800508pmid: N/A

Oyarzun, Francisco

doi: 10.1177/003754979706800509pmid: N/A