Optimisation of decision-making process in industrial robot selection
Tavo KANGRU 1, 2  
,   Jüri RIIVES 1,   Tauno OTTO 1,   Vladimir KUTS 1,   Madis MOOR 2
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Tallinn University of Technology, School of Engineering, Department of Mechanical and Industrial Engineering, Tallinn, Estonia
TTK University of Applied Sciences, Institute of Technology, Mechanical Engineering. Tallinn, Estonia
Submission date: 2019-12-16
Acceptance date: 2020-01-28
Online publication date: 2020-02-26
Publication date: 2020-03-06
Journal of Machine Engineering 2020;20(1):70–81
The successful selection process of industrial robots (IRs) for today’s Cyber-Physical Systems is an important topic and there are different possibilities to solve the task. The primary task is to estimate the existing IR selection systems according to the suitability analysis and to highlight the main positive features and problematic areas. The objective of the reverse task is to carry out the sensitivity analysis of the existing robot-based manufacturing systems. The matching of these two approaches helps decision makers to develop the main principles of IR selection in today`s multidimensional and fast-changing economic world.
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