Factors for metal additive manufacturing technology selection. Issue 9 (14th December 2020)

• Record Type: Journal Article
• Authors: Sobota, Vladimir C.M.; van de Kaa, Geerten; Luomaranta, Toni; Martinsuo, Miia; Ortt, J. Roland
• Is Part Of: Journal of manufacturing technology management. Volume 32:Issue 9(2021)
• Page Start: 26
• Page End: 47
• Publication Date: 2020-12-14
• Subjects: Additive manufacturing -- 3D printing -- Metal additive manufacturing -- Technology selection -- Best–worst method -- BWM; Computer integrated manufacturing systems -- Periodicals; Manufacturing processes -- Automation -- Periodicals; Industrial engineering -- Periodicals; Manufacturing industries -- Management -- Periodicals; 670.5
• DOI: 10.1108/JMTM-12-2019-0448
• Languages: English
• ISSNs: 1741-038X

Abstract

Abstract : Purpose: This 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/approach: A 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. Findings: Technology, 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/implications: The 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/value: The 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.