No description available.

No description available.

The Motorola Company has developed a microprocessor called the M6800 Microprocessor. While the microprocessor is being configured, it is general practice to develop the software at the same time. This is where simulation of the proposed hardware operation can become very important to the success of the design effort. The simulator duplicates the microprocessor execution of machine language instructions on another computer. The simulator discussed in this paper is denoted the SIM6800. The purpose of this paper is to describe the structure, coding, and execution of the SIM6800 simulator. A User's Guide and sample program have been included.

The U.S. Navy's training system is an extensive, complex system of interrelated and interacting components. This paper presents the results of several approaches to the problem of modeling this system and developing computer programs to simulate and analyze its operation. Two programs using special-purpose simulation languages, SLAM and GASP, are described briefly. The PMM inter-active system is described and analyzed in the greatest detail. Possible future utilization of this PMM system for experimentation and forecasting is also briefly discussed.

This study develops a methodology for the analysis of Part Task Trainer (PTT) refresh scheduling used in conjunction with large simulators. A human performance model is defined through the development of descriptive equations and system random variables. PTT scheduling calculations are performed by employing a computer program simulation. The computer algorithm generates a set of random vectors to represent the learning characteristics of a sample group of individual trainees. The relationships between simulator scheduling time, PTT frequency training, and model variables are demonstrated to be user interactive. This will allow the PTT refresh scheduling program to be used as an analytical tool for the investigator and training planner. A computer summary of the resulting simulator retraining times with PTT refresh is provided to the user.

Flow of enlisted Navy men through basic training, BEE school and "A" school was simulated using SLAM. Queuing for courses, pass, setback and failure of students, and the limitation of resources in the BEE schools were modeled for variable numbers of "A" courses and enlisted student ratings. A travel delay between schools was modeled as a direct step function of the distance involved. For each course modeled, data included course duration, interconvening time between classes, minimum and maximum class sizes, pass, failure and setback rates, and the time, measured from the beginning of the simulation, when the first class is to convene. For each rating modeled, data included course sequence information (variable number of courses and school sequences), the number of that rating expected to report to basic training for the entire Navy each year for up to five years, the fractions of that total which report to each of three bases for basic training, the fractions which report each month, and the fractions which report each day of the week. Fleet returnees are modeled to enter the system as an across-the-board percentage of all basic training graduates. Output for each course included average, maximum and current queue lengths; standard deviation of the queue length; average waiting time in the queue for the course; total numbers of students who had started, failed, passes, and been setback in the course; and the number who were under instruction at the time the report was written. Output for each rating included a list of the "A" courses taken, numbers of regular recruits and fleet returnees who had completed training, and average times required to complete training, with optional histograms. A preliminary check was made for bottleneck situations before the simulation was started.

No description available.

A system of equations modeling a class of step motors known as the permanent magnet rotor step motor is presented. The model is implemented on a APPLE personal computer in a version of BASIC. Measurements are then made on an existing motor and input to the program for validation. A special test fixture is utilized to take performance data on the motor to facilitate comparisons with the predictions of the program. The comparisons show the model is indeed valid for design of step motor drive systems and emphasize the practical nature of using personal computers and simulations for design.

No description available.

Submitted in fulfilment of the academic requirements for the degree of MTech: Industrial Engineering, Durban University of Technology, 2009. / Process simulation is an effective tool when used to simulate a system where a great deal of data exists for the process. This technique is however limited when it comes to simulating certain non-deterministic parts such as human behaviour and interaction, for which there may not be a great amount of data available. This work creates a unique hybrid model through the combination of process simulation with agent based simulation that simulates the non-deterministic parts of the process, as well as the deterministic parts. An actual industrial system forms the basis for the research, and the hybrid model is used to understand the effects that human deterioration has on the productivity of this system, as well exploring different scenarios that could lead to improved performance.