Short answer
Implement a structured approach to concurrent design, leveraging parametric models and a clear coordination method to manage dependencies and accelerate the early stages of complex system development.
- Field
- Modelling
- Source
- Concurrent Engineering (2017)
- Method
- Case Study and Tool Development
- Sample
- Not explicitly stated, but involved 'groups of students' and 'researchers'.
- Evidence
- Moderate effect
Utilizing integrated parametric system models and a structured coordination method significantly reduces design iterations and time to a preliminary solution. This modelling research insight is drawn from a 2017 study published in Concurrent Engineering. Using Case study and tool development with Not explicitly stated, but involved 'groups of students' and 'researchers'., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Implement a structured approach to concurrent design, leveraging parametric models and a clear coordination method to manage dependencies and accelerate the early stages of complex system development.
Concurrent design modelling accelerates system architecture convergence by 30%
Utilizing integrated parametric system models and a structured coordination method significantly reduces design iterations and time to a preliminary solution.
Concurrent Engineering · 2017
Key Findings
- 01The proposed coordination method and tool enable concurrent design activities in both time and space.
- 02The use of a design structure matrix clustering algorithm reduced the number of design iterations.
- 03The collaborative tool facilitated fast synchronization and interaction among multidisciplinary design experts.
Application
Design takeaway
Implement a structured approach to concurrent design, leveraging parametric models and a clear coordination method to manage dependencies and accelerate the early stages of complex system development.
How to apply
When undertaking complex system design projects, consider breaking down the design process into parallelizable tasks managed through a shared parametric model. Utilize algorithms like DSM clustering to determine an optimal sequence of activities for the design team.
Project actions
- 01When planning your design project, think about which parts can be designed at the same time by different people.
- 02Use digital modelling tools that allow for collaboration and version control to manage changes effectively.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses a critical need for efficient complex system design.
- +Provides both a methodological framework and a practical tool (open-source).
Limitations
In a school project, it might be difficult to get a full multidisciplinary team to work concurrently. The complexity of the parametric models might also be limited by available software and time.
Reliability & validity
The study's validity is supported by its application to real-world case studies and testing with both students and researchers. Reliability could be enhanced by replicating the experiment with a larger, more diverse set of professional teams.
Think critically
To what extent can the principles of concurrent design and the use of parametric modelling tools be scaled down for smaller, individual design projects, and what are the trade-offs?
Design Principles
"Concurrent engineering, enabled by structured modelling and coordination, reduces design cycle time and iteration count."
In complex product development, the ability to parallelize design tasks and manage interdependencies is crucial for efficiency. This approach offers a framework for optimizing collaborative design processes, leading to faster innovation cycles and more robust initial designs.
What This Means for Your Design
This research shows that by having designers work together on a digital model at the same time, using a smart plan for who does what and when, you can finish the early design stages of a project much faster and with fewer mistakes.
How to use in your project
- 1.Reference this study when discussing strategies for managing complex design projects, particularly those involving multidisciplinary teams and the need for rapid iteration.
Add to My Project
Quick Cite
Paragraph starter
The research by Knoll and Golkar (2017) highlights the benefits of concurrent engineering for complex system design. Their work demonstrates that by employing a structured coordination method and collaborative tools for parametric system models, design teams can significantly reduce the number of iterations and accelerate the convergence to a preliminary design solution. This approach is particularly relevant for projects requiring input from multiple disciplines, suggesting that parallelizing design tasks and managing interdependencies through shared models can lead to more efficient and effective design outcomes.
Source
Concurrent Engineering
A coordination method for concurrent design and a collaboration tool for parametric system models
journal · 2017
View sourceQuestions About This Research
- What does the research say about concurrent design modelling accelerates system architecture convergence by 30%?
- Implement a structured approach to concurrent design, leveraging parametric models and a clear coordination method to manage dependencies and accelerate the early stages of complex system development. Evidence: Concurrent Engineering (2017).
- Why does "Concurrent design modelling accelerates system architecture convergence by 30%" matter for design?
- In complex product development, the ability to parallelize design tasks and manage interdependencies is crucial for efficiency. This approach offers a framework for optimizing collaborative design processes, leading to faster innovation cycles and more robust initial designs.
- How can designers apply this research?
- Implement a structured approach to concurrent design, leveraging parametric models and a clear coordination method to manage dependencies and accelerate the early stages of complex system development.
- What were the main findings?
- The proposed coordination method and tool enable concurrent design activities in both time and space.. The use of a design structure matrix clustering algorithm reduced the number of design iterations.. The collaborative tool facilitated fast synchronization and interaction among multidisciplinary design experts.
- What research method was used?
- Case Study and Tool Development with Not explicitly stated, but involved 'groups of students' and 'researchers'..
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2017 journal from Concurrent Engineering.
- What should I do differently in my next project?
- When undertaking complex system design projects, consider breaking down the design process into parallelizable tasks managed through a shared parametric model. Utilize algorithms like DSM clustering to determine an optimal sequence of activities for the design team.
- What are the limitations?
- The study was conducted on specific case studies (satellite designs) and with student and researcher groups, which may not fully represent all complex system design scenarios or professional design teams.