Development of a maturity model for additive manufacturing: A conceptual model proposal

Espadinha-Cruz, Pedro; Neves, Ângela; Matos, Florinda; Godina, Radu

doi:10.1016/j.heliyon.2023.e16099

Cited by 3 publications

(4 citation statements)

References 108 publications

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“…Additive manufacturing has a high potential for the production of small and complex parts with low production volumes [ 121 ]. However, its use is not limited to these characteristics, and it has been applied in many different situations [ 122 ]. However, there are still several challenges and limitations [ 16 ] that may limit its more expressive use.…”

Section: Discussionmentioning

confidence: 99%

Identifying strategic opportunities through the development of a roadmap for additive manufacturing: The example of Portugal

Fernandes,

Matos,

Oliveira

et al. 2023

Heliyon

Self Cite

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Section: Discussionmentioning

confidence: 99%

Identifying strategic opportunities through the development of a roadmap for additive manufacturing: The example of Portugal

Fernandes,

Matos,

Oliveira

et al. 2023

Heliyon

Self Cite

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“…Given the limited resources and experience, Sustainable Organic Farming would benefit significantly from assessing its current status and emerging gaps, which the maturity model can provide [51]. As a result, maturity models appear appropriate to address the gaps in research defining and prescribing [52] and the need for more focus on the difficulties facing Sustainable Organic Farming along the servitisation journey.…”

Section: Maturity Modelmentioning

confidence: 99%

Sustainable Organic Farming Maturity Model

Kunsook,

Thammaboosadee,

Chuckpaiwong

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Organic farming is of the utmost importance in promoting environmentally sustainable agricultural practices, minimizing environmental contamination, and avoiding using chemical fertilizers and genetically modified organisms (GMOs). Even inexperienced and seasoned farmers frequently encounter formidable obstacles when attempting to authenticate their organic farming status by acquiring organic agriculture certification. The current level of agricultural land maturity is accurately assessed by a comprehensive model presented in this study, which also provides a framework for the transition to organic farming standards. These maturity models were formulated through an exhaustive analysis of agricultural standards, an extensive review of pertinent literature, and expert interviews conducted in 15 distinct locations, with each expert holding certification in a minimum of three organic agricultural standards. Identifying characteristics germane to organic standards, integrating them into maturity models, and establishing maturity items and dimensions are also components of the study. The outcome of our investigation is the Sustainable Organic Farming Maturity (SOFaM) model, which consists of five levels and eight dimensions, as well as a standard operating procedure manual for organic agricultural standard certification applications. This model's potential as an assessment instrument for determining the maturity level of agricultural land has been validated by experts who hold credentials in three distinct domains and three locations. The SOFaM model has the potential to function as a paradigm shift in the agricultural sector, streamline the certification process following organic farming standards, and guarantee adherence to predetermined criteria.

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“…Recognizing the AM traits allows for a comprehensive evaluation of technology readiness (as in [44] and [45], facilitating the selection of suitable AM technologies and maximizing their effectiveness in supporting learning and development. [46] and [44] introduce Education Readiness Levels (ERL), which aim to assess the "readiness" of the training module. Ten readiness levels have been defined for each element, based on the Technology Readiness Level (TRL) definitions.…”

Section: Technology Readiness Levelmentioning

confidence: 99%

“…[44] ERLs align with TRL definitions and define ten readiness levels for each element. [46] This approach allows for a comprehensive evaluation of technology readiness, enabling the selection of suitable technologies for effective learning and development.…”

Section: Technology Readiness Levelmentioning

confidence: 99%

Virtual Reality-Based Training in Additive Manufacturing: Developing a Service Concept that Adapts to Company-Specific Requirements

Huusko,

Susi,

Parchegani

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Additive manufacturing (AM), commonly known as 3D printing, has vast amount of technological opportunities, but it also necessitates specialized expertise among its specialists, adopters, users etc. As AM continues to demonstrate its potential and has high growth rates in fields of its use, applications, systems etc., the importance of AM education and training becomes increasingly evident. This paper serves as a preliminary study outlining a novel training concept for industrial AM training including microlearning units and conducted in virtual reality, focusing on the accessibility and flexibility of users. The concept has been developed as part of the ongoing industrial training project. Microlearning and virtual tool-assisted training methods offer effective and agile approaches to enhance the continuous learning of new industrial skills, enabling companies to keep pace with evolving technologies. These tools facilitate extensive customization of training, making company-specific training even more crucial for effective skill development and knowledge transfer. The design of this training concept leverages the user story mapping (USM) method, enabling a deeper understanding of company-specific requirements and needs concerning additive manufacturing training. Moreover, through questionnaires and interviews conducted during the USM process helps identify technology readiness levels (TRLs) of companies in relation to their AM adoption. Measuring TRLs provides valuable insights into the technical maturity of companies regarding additive manufacturing, as readiness levels tend to vary significantly among different organizations. The preliminary framework provided serves as a foundation for designing a modern training concept that cater to the unique requirements of different companies, fostering their successful adoption of AM technologies.

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Development of a maturity model for additive manufacturing: A conceptual model proposal

Cited by 3 publications

References 108 publications

Identifying strategic opportunities through the development of a roadmap for additive manufacturing: The example of Portugal

Identifying strategic opportunities through the development of a roadmap for additive manufacturing: The example of Portugal

Sustainable Organic Farming Maturity Model

Virtual Reality-Based Training in Additive Manufacturing: Developing a Service Concept that Adapts to Company-Specific Requirements

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