Designing a "cognizant interface" between the user and the simulation software

Article Abstract:

A cognizant interface exhibits artificially intelligent knowledge and behavior toward the parties it is to serve in its interfacing role. These parties are the human user, on the one hand, and the computer-based simulation software, on the other. The interface is therefore viewed as two-sided. To enable users who are neither computer specialists nor simulation experts to take advantage of sophisticated tools for system modeling and simulation, new approaches to interface design are necessary. They must encompass state-of-the-art technology (e.g. computer graphics and networks) as well as utilize techniques available in the areas of artificial intelligence and human-computer interaction. This paper has a three-fold purpose: to present results of a structured review of the the simulation + artificial intelligence literature; to focus on criteria for engineering a modifiable interface; and to add to that interface the ability to adapt to the user. An illustrative prototype is outlined and a simulation-oriented framework of knowledge bases is presented. (Reprinted by permission of the publisher.)

Artificial intelligence, Knowledge-based systems, Software Design, User Interface, User interfaces (Computers), Criteria, Scientific Research, Knowledge-Based System, technical

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An experimental design strategy for designing robust systems using discrete-event simulation

Article Abstract:

Well designed experiments can dramatically improve the statistical accuracy of simulation output data and facilitate the statistical analysis. In this paper we propose an experimental design strategy for designing robust systems using discrete-event simulation. The proposed strategy is motivated by Genichi Taguchi's strategy for improving product and process quality in manufacturing. Robust systems are systems that not only satisfy performance criteria, but also are not sensitive to uncontrollable environmental conditions or noise in the system's environment. We demonstrate the proposed experimental design strategy with a jobshop example and discuss the potential benefits of employing such a strategy for designing robust systems in general. (Reprinted by permission of the publisher.)

Quality control, Technical, Analytical Techniques, Discrete Simulation, Statistical Analysis, Research Design, Robustness

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MAST: A Simulation Tool for Designing Computerized Metalworking Factories

Article Abstract:

The Manufacturing System Design Tool (MAST) is a simulation aid for designing a flexible manufacturing system involving machine tools. MAST uses a free-formatted computer filing system and produces a system performance report which gives the percentage of time a part occupies a station, a storage position, or a transporter. Block diagrams and tables are provided to describe the manufacturing layout and to illustrate the various reports generated.

Manufacturing, Automation, Metalworking machinery, Design, Electronic filing, CAD/CAM

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