journal article
LitStream Collection
Home
doi: 10.1177/003754979005500503pmid: N/A
This article describes the simulation of material handling (MH) systems using simulation languages and simulators. We first show how to construct a simulation of a MH system using the standard blocks available in two general purpose simulation languages. When building models in this manner, an accurate emulation of the real system can be accomplished. Modeling can be accomplished more rapidly using built-in MH capabilities provided in several simulators and simulation languages and some of these are described in the article. Lastly, we discuss a simulation package that has the capability to model material han dling systems with great accuracy.
Kogan, Boris Y.; Karplus, Walter J.; Pang, Alex T.
doi: 10.1177/003754979005500504pmid: N/A
The recently introduced Connection Machine, CM-2, is a multiprocessor with massive parallelism. Fully expanded, the CM-2 consists of 64K processing elements connected in a hypercube topology. Each processing element contains a single-bit arithmetic and logic unit as well as up to 256K bits of local memory. Operation is in the SIMD mode with a single control unit controlling all the processors. In this paper the application of a quarter CM-2 (16K processing elements) to the simulation of excitable media is described. Excitable media are distributed parameter systems, charac terized by nonlinear partial differential equations, containing distributed sources of energy. Excitable media arise in biological systems (e.g. heart muscles), chemical processes and a variety of other application areas. The implementation of a mathematical model for the heart muscle on the CM-2 permitted the generation of very interesting computational results.
Frost, V.S.; LaRue, W.W.; McKee, A.G.; Ernstein, A.J.; Kishore, P.; Gormish, M.J.
doi: 10.1177/003754979005500505pmid: N/A
Predicting the performance of local area networks (LAN) is a difficult task. Existing analytical models are often too restrictive to apply to cases of interest. The results from previous studies are often difficult to extrapolate to other cases. Individual simulation models for local area networks have been developed in the past. Still, translating the description of the network under study between these models is not straightforward. A general LAN analysis system (GLAS) has been developed to address the performance issues in a common environment. This system models carrier sense multiple areas with collision detection (CSMA/CD), token ring, token bus, fiber distributed data interface (FDDI), networks using the standards defined by IEEE. Also, the logical link control protocol related to these standards is modeled, as are the priority mechanisms. Arbitrary topology and node traffic is allowed. A menu driven interface provides a convenient mechanism for the description of the LAN under study. New variance reduction techniques are included to increase the efficiency of the simulation model. Simple analytical models are included in GLAS to provide estimates of network performance when appropriate.
Cochran, Jeffery K.; Paul, Brian K.
doi: 10.1177/003754979005500506pmid: N/A
The field of qualitative simulation and reasoning is rapidly becoming a sought after means for modeling physical systems. However, much is yet to be explored within this field. The central feature of qualitative modeling is the use of qualitative variable descriptions and logic rules for manipulat ing variable values between systemic states. In this paper, the development and applica tion of a generic qualitative simulation environment named QUAL is provided. This environment assists the user in setting up a qualitative model, executing it, and forming a decision tree of the results. The use of qualitative reasoning in a microcom puter simulation context is presented and used to identify limitations of a purely qualitative modeling environment.
Showing 1 to 8 of 8 Articles