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Best–worst method for robot selection

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Abstract

For different applications, there are different robots having capabilities and specifications accordingly. For a particular application and industrial requirement, proper and suitable selection of robot is a difficult task. Numerous robot selection methods are available. Considering the research works on industrial robot selection, group best–worst method is employed in this paper for the proper selection of robots. Weighing the decision makers by considering their past experience is an important factor considered for expert and reliable selection of robot. Objective weights to describe the importance of the attributes along with the decision maker subjective preferences to describe the weights of the attribute are considered. Two problems are discussed for a detailed description and results are compared with the well-known group analytical hierarchy process method. The results show that due to lower minimum violation and lower total deviation, the proposed method performs better.

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Acknowledgements

The authors are very much thankful to associate editor Mohammad Atif Omar and the anonymous reviewers for their valuable comments and suggestions to improve the paper.

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Authors and Affiliations

  1. University of Management and Technology, Lahore, 54770, Pakistan

    Asif Ali & Tabasam Rashid

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  1. Asif Ali
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  2. Tabasam Rashid
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Correspondence to Tabasam Rashid.

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Appendices

Appendix: G-AHP preferences tables for case 1

See Tables 35, 36, 37, 38, 39, 40, 41 and 42.

Table 35 The preferences of senior expert about the decision makers
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Table 36 The preferences of decision makers for criteria w.r.t overall selection of robots
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Table 37 The preferences of decision makers for sub criteria of performance
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Table 38 The preferences of decision makers for robots w.r.t cost
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Table 39 The preferences of decision makers for robots w.r.t quality
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Table 40 The preferences of decision makers for robots w.r.t velocity
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Table 41 The preferences of decision makers for robots w.r.t repeatability
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Table 42 The preferences of decision makers for robots w.r.t load capacity
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Appendix B: G-AHP preferences tables for case 2

See Tables 43, 44, 45, 46, 47, 48, 49 and 50.

Table 43 The preferences of senior expert about the decision makers
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Table 44 The preferences of decision makers for criteria w.r.t overall selection of robots
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Table 45 The preferences of decision makers for robots w.r.t purchase cost
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Table 46 The preferences of decision makers for robots w.r.t load capacity
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Table 47 The preferences of decision makers for robots w.r.t repeatability error
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Table 48 The preferences of decision makers for robots w.r.t maximum tip speed
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Table 49 The preferences of decision makers for robots w.r.t memory capacity
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Table 50 The preferences of decision makers for robots w.r.t manipulator reach
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Ali, A., Rashid, T. Best–worst method for robot selection. Soft Comput 25, 563–583 (2021). https://doi.org/10.1007/s00500-020-05169-z

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