A Decision Support System for Robot Selection based on Axiomatic Design Principles
Mehmet Cagatay Bahadir, Şule Itır Satoğlu
- 发表年份
- 2012
- 引用次数
- 3
摘要
Robotic Systems started to replace the humans in parallel with the development of the robotic technology applications. These robotic systems have complex structure; because they comprise many sub-systems operating in an integrated manner. Therefore, determination of the most suitable industrial robot arm for a production system requires a scientific and systematic methodology. In this study, Axiomatic Design (AD) methodology, which forms a scientific basis for the design and decision-making processes, is employed for the selection of the most suitable industrial robot arm. Based on the literature, the design parameters of industrial robot arms are determined. A decision support system is developed to make the most suitable selection for a certain design by using the information axiom of AD.
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