Application of decision making method (AHP) in Reverse Engineering and Additive Manufacturing Technologies
Session
Mechatronics, System Engineering and Robotics
Description
Continuous market demand shows a fast transition of Additive Manufacturing (AM) from prototype to regular production. The different complex parts are easier to manage using 3D scanners and applying Reverse Engineering (RE) to convert them into digital data that can be reproduced again. Through this paper we intend to explain the relationship between RE and AM with decision making methodology by applying AHP hierarchy, including: goals, criteria, sub-criteria and alternatives. Case study presented confirm the efficiency of the proposed methodology for decision making in production technology.
Keywords:
Additive Manufacturing (AM), Reverse Engineering (RE), Decision Making Method, AHP Hierarchy
Session Chair
Peter Kopacek
Session Co-Chair
Thomas Duda
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-19-2
Location
Pristina, Kosovo
Start Date
26-10-2019 11:00 AM
End Date
26-10-2019 12:30 PM
DOI
10.33107/ubt-ic.2019.145
Recommended Citation
Shabani, Betim and Dukovski, Vladimir, "Application of decision making method (AHP) in Reverse Engineering and Additive Manufacturing Technologies" (2019). UBT International Conference. 145.
https://knowledgecenter.ubt-uni.net/conference/2019/events/145
Application of decision making method (AHP) in Reverse Engineering and Additive Manufacturing Technologies
Pristina, Kosovo
Continuous market demand shows a fast transition of Additive Manufacturing (AM) from prototype to regular production. The different complex parts are easier to manage using 3D scanners and applying Reverse Engineering (RE) to convert them into digital data that can be reproduced again. Through this paper we intend to explain the relationship between RE and AM with decision making methodology by applying AHP hierarchy, including: goals, criteria, sub-criteria and alternatives. Case study presented confirm the efficiency of the proposed methodology for decision making in production technology.