Short answer
Embrace digital twin technology to create more responsive, efficient, and data-informed design and production systems, particularly in smart manufacturing and supply chain management.
- Field
- Commercial Production
- Source
- İnsan ve Toplum Bilimleri Araştırmaları Dergisi (2023)
- Method
- Systematic Literature Review
- Sample
- 60 studies
- Evidence
- Strong effect
Digital twin technology is a key enabler for companies to achieve sustainable competitiveness by integrating physical products with virtual representations, driving advancements in production models, cost reduction, and responsiveness to evolving customer demands. This commercial production research insight is drawn from a 2023 study published in İnsan ve Toplum Bilimleri Araştırmaları Dergisi. Using Systematic literature review with 60 studies, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Embrace digital twin technology to create more responsive, efficient, and data-informed design and production systems, particularly in smart manufacturing and supply chain management.
Digital Twins Accelerate Smart Production and Supply Chain Optimization
Digital twin technology is a key enabler for companies to achieve sustainable competitiveness by integrating physical products with virtual representations, driving advancements in production models, cost reduction, and responsiveness to evolving customer demands.
İnsan ve Toplum Bilimleri Araştırmaları Dergisi · 2023
Key Findings
- 01Digital twin technology has seen a significant surge in popularity since 2019.
- 02The majority of research originates from the USA, published in English as articles.
- 03The most frequent keywords are 'data', 'digital twin', and 'industry'.
- 04Primary research domains include smart production, supply chains, and business economics.
Application
Design takeaway
Embrace digital twin technology to create more responsive, efficient, and data-informed design and production systems, particularly in smart manufacturing and supply chain management.
How to apply
When developing new products or optimizing existing manufacturing processes, consider how a digital twin could be implemented to gather performance data, simulate scenarios, and predict maintenance needs.
Project actions
- 01When researching digital twins, look for studies that focus on specific industries or applications relevant to your design project.
- 02Consider how you can use data from a physical product to inform a virtual model and vice-versa in your design process.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a broad overview of the digital twin research landscape.
- +Identifies key trends and dominant research areas.
Limitations
The scope of this review is limited to published academic papers, and may not include industry-specific reports or proprietary information on digital twin implementation.
Reliability & validity
The reliability of the findings is supported by the systematic methodology and the use of a recognized bibliometric analysis tool (Vosviewer). Validity is enhanced by focusing on a reputable database (Web of Science).
Think critically
While the review identifies key research areas, it does not delve into the specific challenges or limitations encountered during the implementation of digital twins in these domains. What are the practical hurdles designers and engineers face when adopting this technology?
Design Principles
"Integrate virtual and physical product representations to enable continuous monitoring, analysis, and optimization throughout the product lifecycle."
Understanding the strategic adoption of digital twins is crucial for design and engineering professionals aiming to enhance product lifecycle management, streamline manufacturing processes, and improve overall business efficiency. This technology offers a pathway to more agile and data-driven operations.
What This Means for Your Design
Digital twins, which are virtual copies of real things, are becoming super popular since 2019, especially in the US. They are mainly used to make factories smarter and supply chains work better.
How to use in your project
- 1.Reference this study when discussing the growing importance and application of digital twin technology in your design project's background or justification section.
Add to My Project
Quick Cite
Paragraph starter
The systematic literature review by ÖZAT and AKÇADAĞ (2023) highlights the increasing significance of digital twin technology, particularly since 2019, with a strong emphasis on its application in smart production and supply chain management. This trend indicates a growing industry focus on leveraging virtual-physical integration for enhanced efficiency and competitiveness, suggesting its relevance for contemporary design projects aiming for optimized operational performance.
Source
İnsan ve Toplum Bilimleri Araştırmaları Dergisi
Systematic Literature Review of Publications on Digital Twin Topics in Certain Research Areas
journal · 2023
View sourceQuestions About This Research
- What does the research say about digital twins accelerate smart production and supply chain optimization?
- Embrace digital twin technology to create more responsive, efficient, and data-informed design and production systems, particularly in smart manufacturing and supply chain management. Evidence: İnsan ve Toplum Bilimleri Araştırmaları Dergisi (2023).
- Why does "Digital Twins Accelerate Smart Production and Supply Chain Optimization" matter for design?
- Understanding the strategic adoption of digital twins is crucial for design and engineering professionals aiming to enhance product lifecycle management, streamline manufacturing processes, and improve overall business efficiency. This technology offers a pathway to more agile and data-driven operations.
- How can designers apply this research?
- Embrace digital twin technology to create more responsive, efficient, and data-informed design and production systems, particularly in smart manufacturing and supply chain management.
- What were the main findings?
- Digital twin technology has seen a significant surge in popularity since 2019.. The majority of research originates from the USA, published in English as articles.. The most frequent keywords are 'data', 'digital twin', and 'industry'.. Primary research domains include smart production, supply chains, and business economics.
- What research method was used?
- Systematic Literature Review with 60 studies.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from İnsan ve Toplum Bilimleri Araştırmaları Dergisi.
- What should I do differently in my next project?
- When developing new products or optimizing existing manufacturing processes, consider how a digital twin could be implemented to gather performance data, simulate scenarios, and predict maintenance needs.
- What are the limitations?
- The review is limited to studies published in the Web of Science database and may not capture all relevant research. The analysis focuses on publication trends rather than the depth of specific applications.