Selection of Robotic Grippers Under MCDM Environment: An Optimized Trade Off Technique
作者： Anirudha Bhattacharjee , Bikash Bepari , Subhasis Bhaumik
DOI: 10.1007/978-3-319-04693-8_10
关键词: Soft computing 、 Selection (genetic algorithm) 、 Multiple-criteria decision analysis 、 Microeconomics 、 Industrial engineering 、 Decision support system 、 Computer science 、 Grippers 、 TOPSIS 、 Analytic hierarchy process 、 Ideal solution
摘要: The chapter circumscribes off-line soft computing decision support tool in selection of robotic grippers depending upon a set qualitative and quantitative parameters. To ascertain the relative suitability among grippers, being alternatives, was adjudged on basis grip to weight ratio, power input, degrees freedom, number sensors, task completion deftness (speed actuation), price control strategy. Multiple Criteria Decision Making (MCDM) tools like Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity Ideal Solution (TOPSIS) VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) methodologies were implemented substantiate process. solution with regards problem reveals higher order consistency.
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