LAPSE:2023.1641
Published Article

LAPSE:2023.1641
Additive vs. Conventional Manufacturing of Metal Components: Selection of the Manufacturing Process Using the AHP Method
February 21, 2023
Abstract
Additive manufacturing (AM) processes have experienced significant technological developments over the past decade. Today, 3D-printed metal parts can almost achieve the mechanical properties of conventionally manufactured components; process times have been shortened, and the range of available materials has been widely expanded. The decision between conventional manufacturing and AM is therefore becoming more complex, considering technical and economic criteria along the entire product life cycle. To reflect the vision of the manufacturer, each decision needs to be based on individual preferences and strategies. The present research introduces a standardised and systemised multi-criteria decision-making process to choose between additive and conventional production. Multi-criteria decision models from within the literature are analysed and a holistic decision matrix is developed based on the analytic hierarchy process (AHP). The key novelty of the present research is the consideration of technical and economic categories along the whole product life cycle for decision making. The matrix allows an individual weighting of individual criteria along the product life cycle, starting with the conceptualisation of the product, and ending with marketing and after-sales. The approach is evaluated using two scenarios, including a control unit housing and a flat metal gasket, with different scopes of application. In conclusion, the developed multi-criteria decision matrix provides sufficient and repeatable results. The systematic decision process allows users to clearly identify the best production method for their individual use case.
Additive manufacturing (AM) processes have experienced significant technological developments over the past decade. Today, 3D-printed metal parts can almost achieve the mechanical properties of conventionally manufactured components; process times have been shortened, and the range of available materials has been widely expanded. The decision between conventional manufacturing and AM is therefore becoming more complex, considering technical and economic criteria along the entire product life cycle. To reflect the vision of the manufacturer, each decision needs to be based on individual preferences and strategies. The present research introduces a standardised and systemised multi-criteria decision-making process to choose between additive and conventional production. Multi-criteria decision models from within the literature are analysed and a holistic decision matrix is developed based on the analytic hierarchy process (AHP). The key novelty of the present research is the consideration of technical and economic categories along the whole product life cycle for decision making. The matrix allows an individual weighting of individual criteria along the product life cycle, starting with the conceptualisation of the product, and ending with marketing and after-sales. The approach is evaluated using two scenarios, including a control unit housing and a flat metal gasket, with different scopes of application. In conclusion, the developed multi-criteria decision matrix provides sufficient and repeatable results. The systematic decision process allows users to clearly identify the best production method for their individual use case.
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Keywords
3D printing, multi-criteria decision model, product life cycle, production, resource efficiency
Subject
Suggested Citation
Schuhmann D, Rupp M, Merkel M, Harrison DK. Additive vs. Conventional Manufacturing of Metal Components: Selection of the Manufacturing Process Using the AHP Method. (2023). LAPSE:2023.1641
Author Affiliations
Schuhmann D: Institute for Virtual Product Development, Aalen University, 73430 Aalen, Germany [ORCID]
Rupp M: Institute for Virtual Product Development, Aalen University, 73430 Aalen, Germany [ORCID]
Merkel M: Institute for Virtual Product Development, Aalen University, 73430 Aalen, Germany [ORCID]
Harrison DK: School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road Glasgow, Glasgow G4 0BA, UK
Rupp M: Institute for Virtual Product Development, Aalen University, 73430 Aalen, Germany [ORCID]
Merkel M: Institute for Virtual Product Development, Aalen University, 73430 Aalen, Germany [ORCID]
Harrison DK: School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Cowcaddens Road Glasgow, Glasgow G4 0BA, UK
Journal Name
Processes
Volume
10
Issue
8
First Page
1617
Year
2022
Publication Date
2022-08-16
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10081617, Publication Type: Journal Article
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LAPSE:2023.1641
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https://doi.org/10.3390/pr10081617
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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