Skills and Education for Additive Manufacturing: A Review of Emerging Issues

Minshall, Tim

doi:10.1007/978-3-319-66923-6_34

Cited by 32 publications

(30 citation statements)

References 9 publications

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“…Human resources Level of specialised skills dependent on plant role. Skill sets are functionally based and separated Bartlett and Ghoshal (1987) Unique and specialised skills are required locally with the needed tacit knowledge and skills regarding processes and products Belussi and Caldari (2008) Differentiated production skills needed locally Despeisse and Minshall (2017) Advanced multi-skill expertise co-located centrally for product-process design Hennelly et al 2019Product and process design expertise centralised Production expertise less critical and distributed Digital platforms provide mechanisms for knowledge transfer Table 4.…”

Section: Discussionmentioning

confidence: 99%

“…The relatively menial jobs of assembly, retail sales, packaging, shipping, transportation are anticipated to change with the need for more: "analytical, integrative, creative, and autonomous occupations of designers, consultants, engineers, product developers and so on" (p. 21). Despeisse and Minshall (2017) suggest the need for government and industry to come together to provide easy access to training programmes for workers and students.…”

Section: Distributed Manufacturingmentioning

confidence: 99%

“…With respect to advanced manufacturing, the World Economic Forum (2019) identified an urgent need in developed economies, for either "upskilling the current workforce" or "training the next generation" of skilled engineers. For instance, there is a lack of science, technology, engineering and management (STEM) education in both the US and UK workforces (Despeisse and Minshall, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Distributed manufacturing: a new form of localised production?

Srai

Graham

Hennelly

et al. 2020

IJOPM

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PurposeThe emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous production.Design/methodology/approachSupply network (SN) configuration and infrastructural provisioning perspectives were used to examine the literature on established localised production models as well as DM. A multiple case study was then undertaken to describe and explore the DM model further. A maximum variation sampling procedure was used to select five exemplar cases.FindingsThree main contributions emerge from this study. First, the research uniquely brings together two bodies of literature, namely SN configuration and infrastructure provisioning to explore the DM context. Second, the research applies these theoretical lenses to establish the distinctive nature of DM across seven dimensions of analysis. Third, emerging DM design rules are identified and compared with the more established models of localised production, drawing on both literature and DM case evidence.Practical implicationsThis study provides a rich SN configuration and infrastructural provisioning view on DM leading to a set of design rules for DM adoption, thus supporting practitioners in their efforts to develop viable DM implementation plans.Originality/valueThe authors contribute to the intra- and inter-organisational requirements for the emerging DM context by providing new perspectives through the combined lenses of SN configuration and infrastructural provisioning approaches.

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Section: Discussionmentioning

confidence: 99%

Section: Distributed Manufacturingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Distributed manufacturing: a new form of localised production?

Srai

Graham

Hennelly

et al. 2020

IJOPM

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“…Each of the factor in the framework has sub-functions that supports the main factor; for instance, external factors have customer requirement, competitive pressure, collaboration, and regulation as sub-variables. The findings from this study shows how RM implementation for MC requires diverse considerations based on the phase of implementation and the maturity level of the technologies involved (Deradjat and Minshall, 2017).…”

Section: Literature Reviewmentioning

confidence: 97%

“…Deradjat and Minshall(2017) recognized the shortcoming of the previous study (Deradjat and Minshall, 2015; Mellor, 2014) and proceeded on another study and proposed a framework for rapid manufacturing implementation of MC using dental industry as the case study and identifies relevant factors for the AM process implementation. This study answered the research question “How do companies implement RM for MC in the dental industry”.…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for effective additive manufacturing education: a case study of South African universities

Alabi

Beer

Wichers

et al. 2019

RPJ

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Purpose In this era of Fourth Industrial Revolution, also known as Industry 4.0, additive manufacturing (AM) has been recognized as one of the nine technologies of Industry 4.0 that will revolutionize different sectors (such as manufacturing and industrial production). Therefore, this study aims to focus on “Additive Manufacturing Education” and the primary aim of this study is to investigate the impacts of AM technology at selected South African universities and develop a proposed framework for effective AM education using South African universities as the case study. Design/methodology/approach Quantitative research approach was used in this study, that is, a survey (questionnaire) was designed specifically to investigate the impacts of the existing AM technology/education and the facilities at the selected South African universities. The survey was distributed to several students (undergraduate and postgraduate) and the academic staffs within the selected universities. The questionnaire contained structured questions based on five factors/variables and followed by two open-ended questions. The data were collected and analyzed using statistical tools and were interpreted accordingly (i.e. both the closed and open-ended questions). The hypotheses were stated, tested and accepted. In conclusion, the framework for AM education at the universities was developed. Findings Based on different literature reviewed on “framework for AM technology and education”, there is no specific framework that centers on AM education and this makes it difficult to find an existing framework for AM education to serve as a landscape to determine the new framework for AM education at the universities. Therefore, the results from this study made a significant contribution to the body of knowledge in AM, most especially in the area of education. The significant positive responses from the respondents have shown that the existing AM in-house facilities at the selected South African universities is promoting AM education and research activities. This study also shows that a number of students at the South African universities have access to AM/3D printing lab for design and research purposes. Furthermore, the findings show that the inclusion of AM education in the curriculum of both the science and engineering education is South Africa will bring very positive results. The introduction of a postgraduate degree in AM such as MSc or MEng in AM will greatly benefit the South African universities and different industries because it will increase the number of AM experts and professionals. Through literature review, this study was able to identify five factors (which includes sub-factors) that are suitable for the development of a framework for AM education, and this framework is expected to serve as base-line or building block for other universities globally to build/develop their AM journey. Research limitations/implications The survey was distributed to 200 participants and 130 completed questionnaires were returned. The target audience for the survey was mainly university students (both undergraduate and postgraduate) and the academics who have access to AM machines or have used the AM/3D printing lab/facilities on their campuses for both academic and research purposes. Therefore, one of the limitations of the survey is the limited sample size; however, the sample size for this survey is considered suitable for this type of research and would allow generalization of the findings. Nevertheless, future research on this study should use larger sample size for purpose of results generalization. In addition, this study is limited to quantitative research methodology; future study should include qualitative research method. Irrespective of any existing or developed framework, there is always a need to further improve the existing framework, and therefore, the proposed framework for AM education in this study contained only five factors/variables and future should include some other factors (AM commercialization, AM continuous Improvement, etc.) to further enhance the framework. Practical implications This study provides the readers and researchers within the STEM education, industry or engineering education/educators to see the importance of the inclusion of AM in the university curriculum for both undergraduate and postgraduate degrees. More so, this study serves as a roadmap for AM initiative at the universities and provides necessary factors to be considered when the universities are considering or embarking on AM education/research journey at their universities. It also serves as a guideline or platform for various investors or individual organization to see the need to invest in AM education. Originality/value The contribution of this study towards the existing body of knowledge in AM technology, specifically “AM education research” is in the form of proposed framework for AM education at the universities which would allow the government sectors/industry/department/bodies and key players in AM in South Africa and globally to see the need to invest significantly towards the advancement of AM technology, education and research activities at various universities.

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Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

Yeo

2021

Advanced Intelligent Systems

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The additive manufacturing (AM) industry is rapidly developing and expanding, thereby becoming an important and integral component of the digital revolution in manufacturing practices. While the engineering aspects of AM are under intensive research, there still remain many chances to strengthen the sustainability of additive manufacturing (SAM). Cogently increasing the AM community's attention to SAM is vital for developing the AM industry sustainably from the bottom up. The digital nature of AM provides new opportunities for acquiring, storing, and utilizing data to strengthen SAM through data‐driven approaches. Herein, spotlight on SAM is shone upon and it is placed on a more concrete footing. The corresponding advances in data‐driven methods that can strengthen SAM are featured, such as optimizing designs for AM, reducing material waste, and developing databases. How the AM workforce can be developed and grown as a collaboration between the industry, government, and academia to extensively harness the full potential of AM as well as mitigate its adversarial social impact is discussed. Finally, several critical digital techniques that have the potential to further strengthen SAM in the factory of the future, including hybrid manufacturing, Internet of Things, and machine learning and artificial intelligence, are highlighted.

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Skills and Education for Additive Manufacturing: A Review of Emerging Issues

Cited by 32 publications

References 9 publications

Distributed manufacturing: a new form of localised production?

Distributed manufacturing: a new form of localised production?

Framework for effective additive manufacturing education: a case study of South African universities

Strengthening the Sustainability of Additive Manufacturing through Data‐Driven Approaches and Workforce Development

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