A FBWM-PROMETHEE approach for industrial robot selection

Heliyon

Javaneh Ramezani¹  Mahdi Nasrollahi²  Mahmoud Sadraei³ 

[1] Corresponding author.;Imam Khomeini International University (IKIU), Faculty of Social Sciences, Qazvin, Iran;NOVA University of Lisbon, Faculty of Sciences and Technology and UNINOVA-CTS, Campus da Caparica, 2829-516, Monte Caparica, Portugal;

关键词: Industrial engineering;    Multidisciplinary design optimization;    Manufacturing engineering;    Technology management;    Operations management;    Industry management;   

DOI  :  

来源: DOAJ

【 摘 要 】

In recent years, the selection of a robot for particular industrial purposes is one of the most challenging problems in the manufacturing environment based on automation and smartness for real-time decision-making. At present, several types of industrial robots with various capabilities, features, facilities, and specifications are available in the market. This makes the decision-making process more and more complicated due to the increase in complexity, advanced technologies, and features that are continually being incorporated into the robots by several manufacturers. The decision-maker needs to identify and select the best-suited robot to attain the desired output with precise application ability, and minimum cost. This paper tries to solve the robot selection problem using Fuzzy Best-Worst Method and PROMETHEE as the two most appropriate multi-criteria decision-making (MCDM) methods for weighting criteria and ranking of decision alternatives, respectively.

【 授权许可】

Unknown