Factors for metal additive manufacturing technology selection
| Autor: | Toni Luomaranta, J. Roland Ortt, Geerten van de Kaa, Vladimir C.M. Sobota, Miia Martinsuo |
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| Přispěvatelé: | Tampere University, Industrial Engineering and Management |
| Rok vydání: | 2020 |
| Předmět: |
Value (ethics)
0209 industrial biotechnology Additive manufacturing Computer science Strategy and Management media_common.quotation_subject 512 Business and management 02 engineering and technology BWM Industrial and Manufacturing Engineering Supply and demand 020901 industrial engineering & automation Originality Manufacturing Framing (construction) 0502 economics and business Production (economics) Selection (genetic algorithm) media_common Manufacturing technology Technology selection business.industry 05 social sciences Metal additive manufacturing Best–worst method 222 Other engineering and technologies 3D printing Computer Science Applications Risk analysis (engineering) Control and Systems Engineering business 050203 business & management Software |
| Zdroj: | Journal of Manufacturing Technology Management, 32(9) |
| ISSN: | 1741-038X |
| DOI: | 10.1108/jmtm-12-2019-0448 |
| Popis: | PurposeThis paper addresses the most important factors for the selection of additive manufacturing (AM) technology as a method of production of metal parts. AM creates objects by adding material layer by layer based on 3D models. At present, interest in AM is high as it is hoped that AM contributes to the competitiveness of Western manufacturing industries.Design/methodology/approachA literature study is conducted to identify the factors that affect the selection of AM technology. Expert interviews and the best–worst method are used to prioritize these factors based on relative factor weights.FindingsTechnology, demand, environment and supply-related factors are categorized and further mapped to offer a holistic picture of AM technology selection. According to expert assessments, market demand was ranked highest, although market demand is currently lacking.Research limitations/implicationsThe composition and size of the expert panel and the framing of some of the factors in light of previous literature cause validity limitations. Further research is encouraged to differentiate the selection factors for different AM implementation projects.Originality/valueThe paper presents a more complete framework of factors for innovation selection in general and the selection of AM technology specifically. This framework can serve as a basis for future studies on technology selection in the (additive) manufacturing sector and beyond. In addition to AM-specific factor weights, the paper explains why specific factors are important, reducing uncertainty for managers that have to choose between alternative manufacturing technologies. |
| Databáze: | OpenAIRE |
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