Short answer
Adopt a standardized, modular approach to modelling product assets for digital twins to facilitate data integration and improve planning in remanufacturing.
- Field
- Modelling
- Source
- The International Journal of Advanced Manufacturing Technology (2022)
- Method
- Conceptual modelling and system design
- Evidence
- Strong effect
A standardized asset model for digital twins can significantly improve the planning and execution of remanufacturing processes by integrating real-time data and existing knowledge. This modelling research insight is drawn from a 2022 study published in The International Journal of Advanced Manufacturing Technology. Using Conceptual modelling and system design, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Adopt a standardized, modular approach to modelling product assets for digital twins to facilitate data integration and improve planning in remanufacturing.
Generic Asset Model for Digital Twins Enhances Remanufacturing Efficiency
A standardized asset model for digital twins can significantly improve the planning and execution of remanufacturing processes by integrating real-time data and existing knowledge.
The International Journal of Advanced Manufacturing Technology · 2022
Key Findings
- 01A generic asset model is crucial for creating effective product digital twins in remanufacturing.
- 02Digital twins can help mitigate uncertainties in quantity, quality, and demand within remanufacturing.
- 03Integrating existing knowledge and real-time data into a digital twin system is essential for supporting remanufacturing process planning.
Application
Design takeaway
Adopt a standardized, modular approach to modelling product assets for digital twins to facilitate data integration and improve planning in remanufacturing.
How to apply
When designing systems for remanufacturing or product lifecycle management, develop a generic, object-oriented model for product assets that can be instantiated with specific data from sensors and historical records.
Project actions
- 01When modelling a product for a digital twin, think about what information is essential for its entire lifecycle, not just its initial use.
- 02Consider how to represent variability and uncertainty in your digital model, especially for products that will be repaired or refurbished.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses a critical need in the growing field of remanufacturing and Industry 4.0.
- +Proposes a concrete modelling approach (UML) that can be practically applied.
Limitations
The complexity of creating and maintaining accurate digital twins can be a significant challenge, requiring substantial data and computational resources. The proposed generic model might need extensive customization for highly specialized products.
Reliability & validity
The reliability of the model would depend on the consistency of its application across different product types. Validity is supported by its ability to address specific challenges in remanufacturing planning.
Think critically
To what extent can a 'generic' asset model truly capture the nuances of diverse products within a remanufacturing stream, and what are the trade-offs between generality and specificity in such models?
Design Principles
"Standardized digital asset modelling enables robust digital twin implementation for complex industrial processes."
In remanufacturing, uncertainties in product quantity, quality, and demand can hinder efficiency. A well-defined digital twin model provides a virtual replica that allows for better prediction and management of these variables, leading to more robust and cost-effective remanufacturing operations.
What This Means for Your Design
Creating a blueprint (model) for 'digital twins' of products helps factories plan better when they fix and rebuild old products, especially when they don't know exactly what condition the old product will be in or how many they will get.
How to use in your project
- 1.Reference this paper when discussing the importance of digital modelling for product lifecycle management, particularly in the context of repair, refurbishment, or remanufacturing.
- 2.Use the concept of a generic asset model to inform your own design for a digital twin or simulation of a product.
Add to My Project
Quick Cite
Paragraph starter
The development of a generic asset model, as proposed by Kerin et al. (2022), is crucial for implementing effective product digital twins in remanufacturing. Such models facilitate the integration of real-time data and existing knowledge, thereby mitigating uncertainties related to product quantity, quality, and demand, which are critical for optimizing remanufacturing process planning and execution.
Source
The International Journal of Advanced Manufacturing Technology
A generic asset model for implementing product digital twins in smart remanufacturing
journal · 2022
View sourceQuestions About This Research
- What does the research say about generic asset model for digital twins enhances remanufacturing efficiency?
- Adopt a standardized, modular approach to modelling product assets for digital twins to facilitate data integration and improve planning in remanufacturing. Evidence: The International Journal of Advanced Manufacturing Technology (2022).
- Why does "Generic Asset Model for Digital Twins Enhances Remanufacturing Efficiency" matter for design?
- In remanufacturing, uncertainties in product quantity, quality, and demand can hinder efficiency. A well-defined digital twin model provides a virtual replica that allows for better prediction and management of these variables, leading to more robust and cost-effective remanufacturing operations.
- How can designers apply this research?
- Adopt a standardized, modular approach to modelling product assets for digital twins to facilitate data integration and improve planning in remanufacturing.
- What were the main findings?
- A generic asset model is crucial for creating effective product digital twins in remanufacturing.. Digital twins can help mitigate uncertainties in quantity, quality, and demand within remanufacturing.. Integrating existing knowledge and real-time data into a digital twin system is essential for supporting remanufacturing process planning.
- What research method was used?
- Conceptual modelling and system design.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2022 journal from The International Journal of Advanced Manufacturing Technology.
- What should I do differently in my next project?
- When designing systems for remanufacturing or product lifecycle management, develop a generic, object-oriented model for product assets that can be instantiated with specific data from sensors and historical records.
- What are the limitations?
- The proposed model's effectiveness may vary depending on the complexity and diversity of products being remanufactured, and the availability and quality of sensor data.