SIMULATION: Transactions of The Society for Modeling and Simulation International

Wildberger, A. Martin

doi: 10.1177/003754979205900601pmid: N/A

Sajda, Paul; Finkel, Leif H.

doi: 10.1177/003754979205900602pmid: N/A

NEXUS is a novel simulation environment designed for modeling large neural systems. The simulator allows the user to incorporate complex functional properties and symbolic processing at the level of the individual unit. In addition, NEXUS takes advantage of the principle of topographic map organization, found throughout the mammalian nervous system, to facilitate the modeling and design process. An easy-to-use graphical interface allows the user to interactively build and test models. This paper describes the principles underlying the NEXUS design and its advantages over other current simulation approaches.

Chou, Jordan

doi: 10.1177/003754979205900603pmid: N/A

Evans, Gerald W.; Biles, William E.; Alexander, Suraj M.

doi: 10.1177/003754979205900604pmid: N/A

This paper describes a large-scale SLAM II- FORTRAN simulation model of a manufacturing plant that produces pipe valves and fittings. The model represents the functional areas of manufacturing (machining, heat treating, electropolishing, assembly, test and material movement) as well as the production planning and control system. The model allows for experimentation in a variety of areas, including production control, capacity planning, and layout design. Results of model experimentation indicate the advantages of conversion to a new single- floor facility over the existing multi-floor facility, as well as the advantages of a reduction in inventory levels for the plant.

Sullivan, Jim; Brimicombe, Allan J.

doi: 10.1177/003754979205900605pmid: N/A

Standridge, Charles R.; Tsai, Jenteng

doi: 10.1177/003754979205900606pmid: N/A

Interactive simulation systems supporting the post-simulation analysis, presentation and interpretation of results have been developed and will continue to evolve. Post- simulation definition and computation of performance measures should be one important capability of such systems. We propose a method for accomplishing this objective. A simulation language neutral form of a discrete event trace contains the information from which the performance measures are computed. Computational procedures for typical performance measures: transaction time delays, numbers of transactions concurrently engaged in an activity or in a queue, time intervals between occurrences of the same event, and the state distribution of resource units are given. A software library for managing traces and performing the needed computations is described. An example shows an illustrative application of the method to three simulation languages: SLAM II, GPSS, and INSIGHT.

McLeod, John; McLeod, Suzette

doi: 10.1177/003754979205900607pmid: N/A