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MULTI-CRITERIA COMPARATIVE ANALYSIS OF THE USE OF SUBTRACTIVE AND ADDITIVE TECHNOLOGIES IN THE MANUFACTURING OF OFFSHORE MACHINERY COMPONENTS

Abstract

The dynamic development of additive manufacturing technologies, especially over the last few years, has increased the range of possible industrial applications of 3D printed elements. This is a consequence of the distinct advantages of additive techniques, which include the possibility of improving the mechanical strength of products and shortening lead times. Offshore industry is one of these promising areas for the application of additive manufacturing. This paper presents a decision support method for the manufacturing of offshore equipment components, and compares a standard subtractive method with an additive manufacturing approach. An analytic hierarchy process was applied to select the most effective and efficient production method, considering CNC milling and direct metal laser sintering. A final set of decision criteria that take into account the specifics of the offshore industry sector are provided.

Keywords:

offshore industry, additive technologies, maritime and offshore equipment components, decision support systems, analytic hierarchy process (AHP)

Details

Issue
Vol. 27 No. 3(107) (2020)
Section
Latest Articles
Published
06-09-2021
DOI:
https://doi.org/10.2478/pomr-2020-0048
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Mariusz Deja

    Gdańsk University of Technology, Faculty of Mechanical Engineering, Department of Manufacturing and Production Engineering
  • Mieczysław Stanisław Siemiątkowski

    Gdańsk University of Technology, Faculty of Mechanical Engineering, Department of Manufacturing and Production Engineering
  • Dawid Zieliński

    Gdańsk University of Technology

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