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THE INDUSTRIAL ROBOTS SELECTION PROBLEM: LITERATURE REVIEW AND DIRECTIONS FOR FUTURE RESEARCH

Moutaz Khouja, O. Felix Offodile

Year
1994
Citations
41

Abstract

Abstract Research on the industrial robot selection problem (RSP) has received increased attention in the past decade. In this paper, RSP models are reviewed and classified. The strengths and weaknesses of the different approaches to the RSP are summarized. A tabular framework is used to summarize the reviewed RSP models. For quick and easy reference, the table categorizes the models by application, solution approach, robot attributes considered, and selection criteria. We suggest directions for future research

Keywords

Selection (genetic algorithm)Strengths and weaknessesRobotTable (database)Computer scienceManagement scienceOperations researchIndustrial robotArtificial intelligenceEngineering

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