Related Experiment Video
Updated: Jul 30, 2026
05:32
A Soft Tooling Process Chain for Injection Molding of a 3D Component with Micro Pillars
Published on: August 4, 2018
12.7K
Development of a maturity model for additive manufacturing: A conceptual model proposal
Pedro Espadinha-Cruz1,2, Angela Neves3, Florinda Matos4
1UNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
Heliyon
|May 26, 2023
Summary
Additive manufacturing (AM) offers improved product properties and flexibility. This study proposes a maturity model to guide AM
Area of Science:
- Materials Science and Engineering
- Manufacturing Technology
- Business and Economics
Background:
- Additive Manufacturing (AM) presents a paradigm shift from Conventional Manufacturing (CM), enabling resource efficiency and enhanced product functionality.
- AM's versatility extends across industries, including healthcare and consumer products, highlighting its broad applicability and transformative potential.
- Despite its advantages, significant uncertainties surround the future development and business model implications of AM.
Purpose of the Study:
- To address the uncertainties in Additive Manufacturing's evolution by proposing a conceptual maturity model.
- To provide a framework for understanding and supporting the phases of AM adoption in industry, supply chains, and open business models.
Main Methods:
- Conceptual research proposing a maturity model for Additive Manufacturing.
- Analysis of the evolving business landscape influenced by AM, including workforce specialization, intellectual property, and reverse engineering challenges.
Main Results:
- Identified key areas requiring new business models and regulations for AM, such as workforce skills, intellectual property management, and reverse engineering.
- Developed a conceptual maturity model to guide the strategic evolution of AM within industrial contexts and supply chains.
Conclusions:
- Additive Manufacturing necessitates new business models and specialized workforces to fully leverage its potential.
- The proposed maturity model offers a structured approach to navigate the complexities of AM adoption and its impact on open business models and supply chains.
Related Concept Videos
02:16Stereotype Content Model
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
02:00Molecular Models
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
01:12Modeling and Similitude
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
01:30Typical Model Studies
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.