Intelligent decision support for technology assessment: the chemical process industry

Grauer, M. & Fedra, K. (1987). Intelligent decision support for technology assessment: the chemical process industry. In: Toward Interactive and Intelligent Decision Support Systems. Eds. Sawaragi, Y., Inoue, K., & Nakayama, H., pp. 40-55 Germany: Springer Berlin/Heidelberg. ISBN 978-3-642-46609-0 10.1007/978-3-642-46609-0_5.

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This paper describes the concepts behind and the software architecture of a simulation/optimization-based information and decision support system for the management of hazardous substances and their environment-technology interactions. This interactive system is implemented on a microcomputer workstation and combines data base management, system simulation and optimization, interactive data analysis and elements of decision technology with a symbolic display-oriented user interface. Important features of the interface are the use of several parallel or alternative styles of interaction and display, including color graphics and natural language. By combining quantitative methods with qualitative descriptions, and giving the user direct and interactive control over the system’s functions, human knowledge is integrated with formal approaches into a man-machine system through an intelligent and easily accessible user interface.

Within this framework, component subsystems for the multi-criteria assessment of chemical technologies at the industry as well as at the plant and process level are discussed in more detail. At the plant level, a prototype application for the production of monochlorobenzene and chlorophenols is described. These examples of production processes in the chemical industry are connected with many highly toxic compounds including 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin (2, 3, 7, 8 TCDD). These processes serve as an example for the application of the decision support system for technology evaluation and assessment.

Item Type: Book Section
Uncontrolled Keywords: Model-based Decision Support Systems; Multiple-criteria Decision Making; Management of Hazardous Substances; Industrial Risk
Research Programs: Advanced Computer Applications (ACA)
Depositing User: Romeo Molina
Date Deposited: 29 Apr 2016 11:29
Last Modified: 27 Aug 2021 17:40

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