Short answer
Instead of designing each process variant from scratch, identify and extract common elements from existing designs to create a library of reusable components for faster and more reliable future designs.
- Field
- Innovation & Design
- Source
- IEEE Transactions on Services Computing (2022)
- Method
- Prototype implementation and evaluation
- Evidence
- Strong effect
Extracting and composing reusable fragments from existing process variants can significantly speed up the design of new, complex processes and improve their quality. This innovation & design research insight is drawn from a 2022 study published in IEEE Transactions on Services Computing. Using Prototype implementation and evaluation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Instead of designing each process variant from scratch, identify and extract common elements from existing designs to create a library of reusable components for faster and more reliable future designs.
Reusable Process Fragments Accelerate Complex Design Iterations
Extracting and composing reusable fragments from existing process variants can significantly speed up the design of new, complex processes and improve their quality.
IEEE Transactions on Services Computing · 2022
Key Findings
- 01A method for extracting minimal, reusable fragments from process variants was defined.
- 02Composing these fragments allows for the derivation of a wide range of process variants, including the original ones.
- 03The fragment extraction approach leads to more efficient design of complex process variants and improves their quality.
Application
Design takeaway
Instead of designing each process variant from scratch, identify and extract common elements from existing designs to create a library of reusable components for faster and more reliable future designs.
How to apply
When designing a series of related products or systems, analyze existing designs to identify common functional or structural modules that can be reused across new iterations.
Project actions
- 01When developing a design solution, consider if parts of it could be reused in future projects.
- 02Document common features or functionalities that could become reusable 'fragments' for your design practice.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a systematic approach for managing design complexity.
- +Offers a practical method for improving design efficiency and quality.
Limitations
The process of identifying and extracting fragments might still require significant manual effort or sophisticated tools.
Reliability & validity
The study's validity is supported by evaluation on several business processes, suggesting generalizability. Reliability would depend on the consistency of the fragment extraction algorithm.
Think critically
What are the potential drawbacks of relying too heavily on pre-defined fragments, and how might this stifle truly novel design innovation?
Design Principles
"Decomposition and recombination of design elements for efficiency and quality."
This approach offers a systematic way to manage design complexity by breaking down large processes into manageable, reusable components. It allows designers to leverage past solutions and adapt them, reducing the time and potential for errors in the design process.
What This Means for Your Design
Think of building with LEGOs. Instead of making a whole new toy from scratch every time, you can take parts from different LEGO sets you already have, combine them in new ways, and build something new much faster and better.
How to use in your project
- 1.Reference this research when discussing how you broke down a complex design problem into smaller, manageable parts, or how you reused elements from previous designs or research.
Add to My Project
Quick Cite
Paragraph starter
The research by Eshuis (2022) highlights the benefit of extracting reusable fragments from existing process variants to accelerate design and improve quality. This principle can be applied to design projects by identifying common components or functionalities within a design brief or across similar design challenges, thereby creating a library of reusable elements that streamline the development of new solutions and reduce potential errors.
Source
IEEE Transactions on Services Computing
Extracting Reusable Fragments From Data-Centric Process Variants
journal · 2022
View sourceQuestions About This Research
- What does the research say about reusable process fragments accelerate complex design iterations?
- Instead of designing each process variant from scratch, identify and extract common elements from existing designs to create a library of reusable components for faster and more reliable future designs. Evidence: IEEE Transactions on Services Computing (2022).
- Why does "Reusable Process Fragments Accelerate Complex Design Iterations" matter for design?
- This approach offers a systematic way to manage design complexity by breaking down large processes into manageable, reusable components. It allows designers to leverage past solutions and adapt them, reducing the time and potential for errors in the design process.
- How can designers apply this research?
- Instead of designing each process variant from scratch, identify and extract common elements from existing designs to create a library of reusable components for faster and more reliable future designs.
- What were the main findings?
- A method for extracting minimal, reusable fragments from process variants was defined.. Composing these fragments allows for the derivation of a wide range of process variants, including the original ones.. The fragment extraction approach leads to more efficient design of complex process variants and improves their quality.
- What research method was used?
- Prototype implementation and evaluation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2022 journal from IEEE Transactions on Services Computing.
- What should I do differently in my next project?
- When designing a series of related products or systems, analyze existing designs to identify common functional or structural modules that can be reused across new iterations.
- What are the limitations?
- The effectiveness may depend on the degree of similarity between process variants and the quality of the initial process data.