Selecting low-cost 3D printers using the AHP method: a case study

Netto, Joaquim Manoel Justino; Ragoni, I. G.; Santos, Luiz Eduardo Frezzatto; Silveira, Zilda de Castro

doi:10.1007/s42452-019-0352-4

Cited by 12 publications

(3 citation statements)

References 24 publications

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“…Another three-step approach for implementing AHP was proposed in [15] for selecting low-cost 3D printers. In the first step, the structure of AHP is defined and used for determining the weights of the criteria.…”

Section: Additive Manufacturingmentioning

confidence: 99%

Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Hagag

Yousef²,

Abdelmaguid

2023

Mathematics

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As the number of alternative machines has increased and their technology has been continuously developed, the machine selection problem has attracted many researchers. This article reviews recent developments in applying multi-criteria decision-making (MCDM) methods for selecting machines in the manufacturing and construction industries. Selected articles are classified according to the application area and the applied MCDM method. By focusing on the last five years, this paper identifies recent trends in developing and using these methods. Results suggest that there has been a noticeable growth in the utilization of MCDM techniques for machine selection problems in both sectors. It is also noted that several decision-support tools and methods have been developed and successfully applied during this period. Accordingly, needs and directions for future research are discussed.

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Section: Additive Manufacturingmentioning

confidence: 99%

Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Hagag

Yousef²,

Abdelmaguid

2023

Mathematics

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“…The performed approach was used to compare three printers in the low-cost segment. The quality characteristics of the surface roughness, dimensional accuracy, and geometric accuracy were measured using a self-developed sample [14]. An adaptive benchmarking approach was developed by Spitaels et al, which was used to compare two printers [15].…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Investigation of Part Quality Achieved by Material Extrusion Printers in Relation to Their Price

Schmidt,

Morlock,

Griesbaum

et al. 2023

JMMP

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Users of material extrusion printers are faced with a wide range of prices. It is unknown which printer price can achieve the required part quality. However, the price and the resulting quality of a printer are decisive factors for the process, especially at small- and medium-sized companies. This study investigated the correlation between the printer price and part quality based on dimensional accuracy, surface quality, strength, and visual appearance. In this paper, 14 printers with different prices were examined. The relationship of printer price and part defects, elongation at break, and the accuracy of roundings could be identified (the regressions achieved a p-value under 0.5 and an R2 over 0.4). A relationship with surface roughness, tensile strength, or other dimensional accuracy characteristics could not be found (the regressions achieved an R2 under 0.4 or anomalies could be detected in the regression analysis). In the performed investigations, more-expensive printers were not necessarily associated with an improvement in these quality characteristics. No relationship between the printer price and the standard deviation, e.g., less variation in part quality, could be identified. This paper provides valuable insights into the relationship of part quality and printer price. The performed research improved upon the existing literature in terms of the number of investigated printers, the observed price range, and the number of tested quality characteristics. The results and approach of this paper will help users select an appropriate printer, and the findings can be used in the sourcing and technology selection phases.

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“…Justino Netto et al (2019) used the AHP algorithm to select low-cost Fused Deposition Modelling (FDM) printers (<$5,000). Lukic et al (2017) developed a MCDM system for manufacturing process selection.…”

Section: Literature Reviewmentioning

confidence: 99%

A decision-making methodology integrated in product design for additive manufacturing process selection

Liu

Zhu

2020

RPJ

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Purpose The decision-making for additive manufacturing (AM) process selection is typically applied in the end of the product design stages based upon an already finished design. However, due to unique characteristics of AM processes, the part needs to be designed for the specific AM process. This requires potentially feasible AM techniques to be identified in early design stages. This paper aims to develop such a decision-making methodology that can seamlessly be integrated in the product design stages to facilitate AM process selection and assist product/part design. Design/methodology/approach The decision-making methodology consists of four elements, namely, initial screening, technical evaluation and selection of feasible AM processes, re-evaluation of the feasible process and production machine selection. Prior to the design phase, the methodology determines whether AM production is suitable based on the given design requirements. As the design progresses, a more accurate process selection in terms of technical and economic viability is performed using the analytic hierarchy process technique. Features that would cause potential manufacturability issues and increased production costs will be identified and modified. Finally, a production machine that is best suited for the finished product design is identified. Findings The methodology was found to be able to facilitate the design process by enabling designers to identify appropriate AM technique and production machine, which was demonstrated in the case study. Originality/value This study addresses the gap between the isolated product design and process selection stages by developing the decision-making methodology that can be integrated in product design stages.

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Selecting low-cost 3D printers using the AHP method: a case study

Cited by 12 publications

References 24 publications

Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Investigation of Part Quality Achieved by Material Extrusion Printers in Relation to Their Price

A decision-making methodology integrated in product design for additive manufacturing process selection

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