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doi: 10.1177/003754978404200303pmid: N/A
This paper deals with a real-life application of simulation model ing to a biological system. A major obstacle, in the implemen tation of the otherwise well-defined model, is the difficulty of gathering some of the pertinent data. Unlike most familiar simulation models for which the system's design parameters are either available or can be estimated from available data, the nature of the system under study exists in an environment that makes it almost impossible to gather desired data. The paper proposes an "input-output" procedure that can be used to estimate the desired design parameters by indirectly using ac tual Input and output data of the system. A sample testing of the developed model based on the estimates obtained from the proposed procedure is also presented. The paper also points to the difficulties that typically exist in simulating many agricultural and biological systems.
doi: 10.1177/003754978404200304pmid: N/A
Event set manipulation may consume a considerable amount of the computation time spent in performing a discrete-event simulation. One way of minimizing this time is to allow event set processing to proceed in parallel with the remainder of the simulation computation. This paper describes a multiprocessor simulation computer, in which all non-event set processing is performed by the principle processor (called the host). Event set processing is coordinated by a front end processor (the master) and actually performed by several other functionally identical processors (the slaves). A trace-driven simulation pro gram modeling this sytem was constructed, and was run with trace output taken from two different simulation programs. Out put from this simulation suggests that a significant reduction in run time may be realized by this approach. Sensitivity analysis was performed on the significant parameters to the system (number of slave processors, relative processor speeds, and in terprocessor communication times). A comparison between ac tual and simulated run times for a one-processor system was used to assist in the validation of the simulation.
Kinek, Patrick A.; Jambekar, Anil B.
doi: 10.1177/003754978404200305pmid: N/A
A simulation model has been constructed as a framework to study the consequences of government regulations, and the de lays inherent in these regulations, on the functional areas of small surface coal operators. This paper specifically looks at the ef fect of the Surface Mining and Reclamation Act promulgated by Congress in 1977. The act has altered basic operating deci sions of coal operators in land management. Some of the critical changes the regulations have brought about are lengthy and costly permit preparation procedures, lengthy local and state review of permits and lands, increased bond fees, and costly reclamation requirements. The proposed model is useful as a quick turn-around policy analysis tool.
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