A Prototype Model for Human/Automation Trade-offs

by Richard Johnson, Univ of Colorado at Boulder, United States,



Document Type: Proceeding Paper

Part of: Engineering, Construction, and Operations in Space II

Abstract:

Future space construction missions will involve both human and machine constructors. Selection of the optimum constructor mix requires a model of constructor capabilities and requirements. The database for that model is developed via extrapolation from current literature. Optimization is done via minimization of total mission cost using a linear programming approach. This prototype is the first cut at producing a general tool for choosing a near-optimum constructor mix for any space construction mission. The linear programming optimization model illuminates several significant representational and data-gathering problems.



Subject Headings: Optimization models | Computer programming | Human factors | Automation | Construction management | Space exploration

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