Modern aircraft industries mostly rely on “Advanced Manufacturing Technologies” (AMTs) to improve the quality of the aircraft product assembly, since it has a huge potential to improve the production efficiency. Robotics-based computer-integrated manufacturing is an example of the AMTs that can meet the required accuracy of the aircraft assembly. Although there is a massive research content in the decision-making approach of aircraft assembly/manufacturing process, one important problem (“industrial robot selection”) has been chosen for current research. Regarding challenges of the decision-making process based on knowledge management in the aircraft assembly and manufacturing processes due to its complexity, this research illustrates the innovative concept of flexible industrial decision-making approaches to evaluate and integrate the design and selection criteria (referred to as a choice, an option, and an alternative). In this research, some sophisticated and beneficial “Multi Attribute Decision Making” (MADM) preference approaches are employed concerning more manageable, accessible, and flexible decision-making for the aircraft assembly and manufacturing process. According to the preferred ranking-based methods, the MADM subset tools are used in the mathematical model for the decision-making challenges of the real-world aircraft manufacturing industry. The eight most prospective preference ranking-based MADM approaches are utilized to resolve challenges of decision-making based on the real-time aircraft manufacturing and assembly environment. Then, sensitivity and performance analysis is employed to examine the performance stability of the eight preference ranking approaches. It is evident that COPRAS, COPRAS-G, ORESTE, OCRA, ARAS and PSI methods are simple to understand and implement. On the other hand, EVAMIX and EXPRO methods are comparatively complex to apply due to their complicated mathematical formulations and involvement of several preference functions and threshold values. The research has practical value in resolving the decision-making challenges in any manufacturing industry concerning different conditions and meeting different manufacturing requirements.
Tacit Knowledge Service on Industrial Robot Selection for Efficient Aircraft Production Based on the Flexible MADM Approach
Russ. Aeronaut.
Russian Aeronautics ; 66 , 2 ; 349-386
2023-04-01
38 pages
Article (Journal)
Electronic Resource
English
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