Systems analysis for the development of small resource recovery systems: system performance data. Final report

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.

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Solar energy system performance evaluation - final report for Honeywell OTS 45, Salt River Project, Phoenix, Arizona

10.2172/5726186 ◽

1983 ◽

Author(s):

A K Mathur

Keyword(s):

Performance Evaluation ◽

Solar Energy ◽

System Performance ◽

Energy System ◽

Final Report ◽

Salt River ◽

System Performance Evaluation

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Simulation and the simulation language SLAM II as a systems analysis tool

South African Journal of Business Management ◽

10.4102/sajbm.v20i3.955 ◽

1989 ◽

Vol 20 (3) ◽

pp. 154-162

Author(s):

P. S. Kruger ◽

P. Lindeque ◽

K. Adendorff

Keyword(s):

Simulation Model ◽

Systems Analysis ◽

System Performance ◽

Simulation Modelling ◽

Analysis Tool ◽

General Introduction ◽

Materials Handling ◽

Beer Brewing ◽

Simulation Language ◽

Loading And Unloading

This paper provides a general introduction to the simulation technique and the simulation language SLAM II. The use of simulation modelling and in particular SLAM II is demonstrated by way of an illustrative example consisting of the building and manipulation of a simulation model of a materials handling subsystem of a beer brewing and packaging plant. The purpose of the model is to investigate the influence of the number of loading and unloading docks on various measures of system performance.

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What Should Simulations Simulate?

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128302701215 ◽

1983 ◽

Vol 27 (12) ◽

pp. 1006-1006

Author(s):

R. A. Miller

Keyword(s):

Computer Simulations ◽

Systems Analysis ◽

System Performance ◽

Analysis And Design ◽

Machine System ◽

Systems Analysis And Design ◽

Machine Systems

Both man-in-the-loop and computer simulations have become relatively mature technologies and are used quite extensively in human-machine systems analysis and design. As simulation becomes more mature and its application more routinized, the fundamental assumptions, both substantive and methodological, upon which simulations rest are sometimes neglected or forgotten. As a consequence some applications of simulation may be less than optimum and there may be some uncertainty surrounding the role which simulation can and should play in the human-machine systems domain. In this paper several types of simulations are classified according to the characteristics of the modelling performed and the representations used. These classes are briefly analyzed to establish some of the ontological and epistemological assumptions required in each class. The assumptions are then compared against the reasons and objectives usually cited for using simulation in human-machine systems work. This comparison provides useful insights into the role of simulation and enables some suggestions for needed work on modelling and theories of human-machine system performance.

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