Feasibility Study of Additive Manufacturing Technology Implementation in Malaysian Automotive Industry Using Analytic Hierarchy Process

Rahim, Siti Lydia; Maidin, Shajahan

doi:10.4028/www.scientific.net/amr.903.450

Cited by 12 publications

(11 citation statements)

References 5 publications

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“…Cost is a critical aspect of the AM implementation and is calculated based on a number of factors including maintenance, machine, labor and material costs, in addition to the expenses incurred in the acquisition of hardware, software and integration (Mellor et al. , 2014; Rahim and Maidin, 2014; Yeh and Chen, 2018), but few authors have included the cost aspect related to AM in their implementation models (Ramola et al. , 2019), as a relevant dimension.…”

Section: Discussionmentioning

confidence: 99%

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The “V” model for decision analysis of additive manufacturing implementation

Lima

Sátyro

Contador

et al. 2023

JMTM

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PurposeThis study aims to broaden the understanding of the additive manufacturing (AM) body of knowledge, presenting a model better suited to the current level of technological development that supports the decision to implement AM in industries, based on the experience of companies in the industry of orthopedic medical implants.Design/methodology/approachBased on the design-science research, the model for the decision to adopt the AM was designed and submitted to experts from the industry of orthopedic implants in Brazil for refinement. For the empirical test of the final model, interviews were used in a company that was considering implementing AM and in another that was not, to evaluate the model.FindingsThe model considers seven dimensions for decision analysis of AM implementation: legal constraints, financial, technological, operational, organizational, supply chain and external factors, being subdivided into 42 criteria that play a relevant role in the implementation decision. The analysis factor of each dimension and criteria are also presented.Originality/valueThe model seeks to be as complete as possible and can be used by various industrial productive sectors, incorporating the analysis of the requirements of health regulatory agencies, suitable for the analysis of the decision to implement AM for the manufacturing of medical implants, not found in other models.

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Section: Discussionmentioning

confidence: 99%

“…Rahim and Maidin (2014) present a framework to help companies choose whether to implement AM technology or not and emphasize that the most important aspect to be considered is the investment cost.…”

Section: Literature Reviewmentioning

confidence: 99%

The “V” model for decision analysis of additive manufacturing implementation

Lima

Sátyro

Contador

et al. 2023

JMTM

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“…AM's basic principle is that a product can be fabricated from a 3D model in a layer-by-layer manner [6]. Applications of AM can be found across a diverse array of industries like automobile [7], aerospace, aeronautics and defense [8], biomedical [9,10], power [11], building and construction [12], chemical compounds [13], electronics [14], consumer goods [15], etc. AM has progressed into several processes that are classified by the ASTM, as mentioned in Table 1 [5,16].…”

Section: Introductionmentioning

confidence: 99%

A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes

Majeed

Ahmed

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This paper aims to study the energy consumption and quality characteristics of the parts fabricated by additive manufacturing (AM) technologies with a special focus on metal AM processes. AM is a family of manufacturing techniques, which is broadly used to fabricate complex and lightweight structures. The energy savings during AM processes have a significant influence on the AM industry, only if the quality of the fabricated part meets the requirements. The quality is generally represented by the surface and dimensional quality, mechanical properties, relative density, hardness, etc. The energy saving is important for environmentally benign and cleaner production, and improved product quality is useful for its application as a functional part in the aerospace, automobile, and biomedical industries. A comprehensive review of the energy consumption and quality characteristics of AM-fabricated (with special focus on metal AM) parts was carried out. Firstly, the specific energy consumption of various AM techniques has been reviewed to address the importance of energy and cleaner production. Then, the qualifications of products fabricated by different metal AM techniques have been discussed for different materials, such as titanium alloys, steel alloys, nickel alloys, and aluminum alloys. Also, by considering the practical importance of thin-walled structures fabricated by AM, a detailed analysis of their qualification has been presented. Moreover, different optimization techniques have also been reviewed for various AM process parameters and objectives. Overall, this paper provides an overview of AM, including a survey on the energy consumption and quality characteristics with the development of AM technologies for manufacturing of quality products. Finally, several future research directions are suggested, specifically the need for a framework for metal AM processes for the fabrication of quality products with minimum energy consumption.

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“…Depending on the material and machine technology used, 3D printing (Additive Manufacturing) has been classified into seven categories, namely VAT Photopolymerisation, Material Jetting, Binder Jetting, Material Extrusion and Powder Bed Fusion (ASTMInternational, 2012). 3D printing has been applied in a variety of industries, such as aerospace (Campbell et al, 2011;Lee et al, 2016), automotive (Guo and Leu, 2013;Rahim and Maidin, 2014), biomedical (Gebhardt et al, 2010;Hutmacher, 2015;Marga et al, 2012;Melchels et al, 2012), building and construction (Perkins and Skitmore, 2015;Song and Hu, 2015;Valkenaers et al, 2014), marine and offshore (Bhudolia et al, 2015;Chua et al, 2016;Tham et al, 2015), food industry (Lipton et al, 2015;Sun et al, 2015a;Sun et al, 2015b), environmental engineering (Bara et al, 2013;Cho et al, 2015;Mathai, 2015), as well as desalination and water treatment (Andersson et al, 1985;Johnson et al, 1993).…”

Section: Introductionmentioning

confidence: 99%

Visualizing the hotspots and emerging trends of 3D printing through scientometrics

Jin

Campbell

et al. 2018

RPJ

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Purpose 3D printing is believed to be driving the third industrial revolution. However, a scientometric visualizing of 3D printing research and an exploration its hotspots and emerging trends are lacking. This study aims to promote the theory development of 3D printing, help researchers to determine the research direction and provide a reference for enterprises and government to plan the development of 3D printing industry by a comprehensive understanding of the hotspots and trends of 3D printing. Design/methodology/approach Based on the theory of scientometrics, 2,769 literatures on the 3D printing theme were found in the Web of Science Core Collection’ Science Citation Index Expanded (SCI-EXPANDED) index between 1995-2016. These were analyzed to explore the research hotspots and emerging trends of 3D printing with the software CiteSpaceIII. Findings Hotspots had appeared first in 1993, grew rapidly from 2005 and peaked in 2013; hotspots in the “medical field” appeared earliest and have remained extremely active; hotspots have evolved from “drug”, “printer”, “rapid prototyping” and “3D printing” in the 1990s, through “laser-induced consolidation”, “scaffolds”, “sintering” and “metal matrix composites” in the 2000s, to the current hotspots of “stereolithography”, “laser additive manufacturing”, “medical images”; “3D bioprinting”, “titanium”, “Cstem cell” and “chemical reaction” were the emerging hotspots in recent years; “Commercial operation” and “fusion with emerging technology such as big data” may create future hotspots. Research limitations/implications It is hard to avoid the possibility of missing important research results on 3D printing. The relevant records could be missing if the query phrases for topic search do not appear in records. Besides, to improve the quality of data, this study selected articles and reviews as the research objects, which may also omit some records. Originality/value First, this is the first paper visualizing the hotspots and emerging trends of 3D printing using scientometric tools. Second, not only “burst reference” and “burst keywords” but also “cluster” and “landmark article” are selected as the evaluation factors to judge the hotspots and trends of a domain comprehensively. Third, overall perspective of hotspots and trends of 3D printing is put forward for the first time.

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Feasibility Study of Additive Manufacturing Technology Implementation in Malaysian Automotive Industry Using Analytic Hierarchy Process

Cited by 12 publications

References 5 publications

The “V” model for decision analysis of additive manufacturing implementation

The “V” model for decision analysis of additive manufacturing implementation

A state-of-the-art review on energy consumption and quality characteristics in metal additive manufacturing processes

Visualizing the hotspots and emerging trends of 3D printing through scientometrics

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