Digital Twins are Primarily Used for Production and Operation, with Limited Application in Design and Disposal Phases
Category: Modelling · Effect: Moderate effect · Year: 2023
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.
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.
Why It Matters
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.
Key Finding
Most digital twin uses in manufacturing are early-stage prototypes for monitoring and maintenance during production and operation, with less development for design and end-of-life stages.
Key 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.
Research Evidence
Aim: To systematically review and categorize the applications of digital twin technology across the entire product lifecycle within the manufacturing sector.
Method: Systematic Literature Review
Procedure: A systematic literature review was conducted, analyzing 188 scientific papers. Publications were selected based on the application of digital twin concepts, with a focus on the manufacturing sector. The analysis categorized applications by their interaction structure (e.g., digital shadow, digital twin) and their placement within the product lifecycle (Design, Production, Operation, Disposal).
Sample Size: 188 scientific papers
Context: Manufacturing sector, product lifecycle management
Design Principle
Leverage digital twin technology across all stages of the product lifecycle for comprehensive data-driven decision-making.
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.
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.
Student Guide (IB Design Technology)
Simple Explanation: 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.
Why This Matters: This research helps you understand where digital twin technology is most advanced and where there are opportunities for innovation in your own design projects.
Critical Thinking: 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?
IA-Ready Paragraph: 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.
Project Tips
- When researching digital twins, look for studies that specifically mention their use in the 'design' or 'disposal' phases.
- Consider how you could use a digital twin concept in your own design project, even if it's a simplified version.
How to Use in IA
- Reference this study when discussing the current state of digital twin technology and its limitations in your design project's background research.
- Use the findings to justify focusing on specific lifecycle phases in your own digital twin application.
Examiner Tips
- Demonstrate an understanding of the varying maturity of digital twin applications across the product lifecycle.
- Critically evaluate the limitations of current digital twin implementations in design and disposal.
Independent Variable: Product lifecycle phase (Design, Production, Operation, Disposal)
Dependent Variable: Application of digital twin technology (e.g., focus on observability, optimization, predictive maintenance)
Controlled Variables: Manufacturing sector
Strengths
- Systematic approach ensures comprehensive coverage of relevant literature.
- Categorization by lifecycle phase provides a clear overview of current trends.
Critical Questions
- How can the limited application of digital twins in the design phase be overcome to improve product innovation?
- What are the key barriers to adopting digital twins for product disposal and circular economy initiatives?
Extended Essay Application
- Investigate the potential of using digital twins to simulate the environmental impact of product disposal and inform sustainable design choices.
- Explore how digital twins could facilitate the remanufacturing or recycling of products by providing detailed operational and material data.
Source
Digital Twins along the product lifecycle: A systematic literature review of applications in manufacturing · Digital Twin · 2023 · 10.12688/digitaltwin.17807.1