Short answer
Prioritize the integration of digital twin capabilities into the design and disposal phases of product development to achieve a more holistic and lifecycle-aware approach.
- Field
- Modelling
- Source
- Digital Twin (2023)
- Method
- Systematic Literature Review
- Sample
- 188 scientific papers
- Evidence
- Moderate effect
Current research indicates that while digital twin technology is widely discussed, its practical implementation in manufacturing predominantly focuses on the production and operational stages of a product's lifecycle, with less emphasis on the design and disposal phases. This modelling research insight is drawn from a 2023 study published in Digital Twin. Using Systematic literature review with 188 scientific papers, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize the integration of digital twin capabilities into the design and disposal phases of product development to achieve a more holistic and lifecycle-aware approach.
Digital Twins are Primarily Used for Production and Operation, with Limited Application in Design and Disposal Phases
Current research indicates that while digital twin technology is widely discussed, its practical implementation in manufacturing predominantly focuses on the production and operational stages of a product's lifecycle, with less emphasis on the design and disposal phases.
Digital Twin · 2023
Key Findings
- 01The majority of digital twin applications in manufacturing are prototypes focused on real-time observability for optimization or predictive maintenance.
- 02Applications are heavily concentrated in the production and operational phases of the product lifecycle.
- 03Applications in the design and disposal phases of the product lifecycle are limited.
Application
Design takeaway
Prioritize the integration of digital twin capabilities into the design and disposal phases of product development to achieve a more holistic and lifecycle-aware approach.
How to apply
When planning a new product development project, consider how a digital twin can be utilized not just for production monitoring, but also for informing design decisions and planning for end-of-life scenarios.
Project actions
- 01When researching digital twins, look for studies that specifically mention their use in the 'design' or 'disposal' phases.
- 02Consider how you could use a digital twin concept in your own design project, even if it's a simplified version.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Systematic approach ensures comprehensive coverage of relevant literature.
- +Categorization by lifecycle phase provides a clear overview of current trends.
Limitations
It's difficult to find real-world examples of digital twins being used extensively in the design or disposal phases, as much of the current focus is on production and operation.
Reliability & validity
The reliability of the review depends on the systematic search strategy and the quality of the included papers. Validity is enhanced by the clear categorization framework.
Think critically
Given the current focus on production and operation, what are the biggest challenges and opportunities in developing and implementing digital twins for the design and disposal phases of a product's lifecycle?
Design Principles
"Leverage digital twin technology across all stages of the product lifecycle for comprehensive data-driven decision-making."
Understanding the current maturity of digital twin applications across the product lifecycle is crucial for designers and engineers. It highlights areas where the technology is well-established and where further development and adoption are needed, potentially influencing future design strategies and investment in new tools.
What This Means for Your Design
Digital twins are mostly used to watch and fix things during manufacturing and when products are being used, but not so much when designing them or when they are thrown away.
How to use in your project
- 1.Reference this study when discussing the current state of digital twin technology and its limitations in your design project's background research.
- 2.Use the findings to justify focusing on specific lifecycle phases in your own digital twin application.
Add to My Project
Quick Cite
Paragraph starter
Research by Pronost et al. (2023) highlights that current digital twin applications in manufacturing are predominantly focused on the production and operational phases, with limited exploration in the design and disposal stages. This suggests that while the technology is maturing for real-time monitoring and optimization, its potential for early-stage design feedback and end-of-life management remains largely untapped.
Source
Digital Twin
Digital Twins along the product lifecycle: A systematic literature review of applications in manufacturing
journal · 2023
View sourceQuestions About This Research
- What does the research say about digital twins are primarily used for production and operation, with limited application in design and disposal phases?
- Prioritize the integration of digital twin capabilities into the design and disposal phases of product development to achieve a more holistic and lifecycle-aware approach. Evidence: Digital Twin (2023).
- Why does "Digital Twins are Primarily Used for Production and Operation, with Limited Application in Design and Disposal Phases" matter for design?
- Understanding the current maturity of digital twin applications across the product lifecycle is crucial for designers and engineers. It highlights areas where the technology is well-established and where further development and adoption are needed, potentially influencing future design strategies and investment in new tools.
- How can designers apply this research?
- Prioritize the integration of digital twin capabilities into the design and disposal phases of product development to achieve a more holistic and lifecycle-aware approach.
- What were the main findings?
- The majority of digital twin applications in manufacturing are prototypes focused on real-time observability for optimization or predictive maintenance.. Applications are heavily concentrated in the production and operational phases of the product lifecycle.. Applications in the design and disposal phases of the product lifecycle are limited.
- What research method was used?
- Systematic Literature Review with 188 scientific papers.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2023 journal from Digital Twin.
- What should I do differently in my next project?
- When planning a new product development project, consider how a digital twin can be utilized not just for production monitoring, but also for informing design decisions and planning for end-of-life scenarios.
- What are the limitations?
- The review focuses on published literature, which may not capture all industry implementations. The categorization of digital twin maturity (e.g., prototype vs. fully deployed) can be subjective.