The authors present a decision model for selecting alternative robotic systems, encompassing both technological and economic factors for given tasks. The model consists of two phases, 1) a technology needs identification phase in which task requirements are determined, and 2) a needs-to-availability matching phase, in which technology needs identified in Phase 1 are matched to available market technologies. Two modeling approaches are discussed as possible mechanisms for the decision model, 1) integer programming and 2) a rule-based expert system. These two are presented independently, their merits discussed and compared, and a proposal made for an integrated approach that combines the best aspects of both.
|Number of pages||10|
|State||Published - 1985|