A data framework for assessing manufacturing sustainability
Developing a structured information model is crucial for effectively assessing the environmental impact of manufacturing processes and products.
Academic Publication · 2013
Key Findings
- 01An EXPRESS information model can effectively represent various aspects of manufacturing sustainability.
- 02The developed model is capable of capturing sustainability indicators, weighting, uncertainty, material declarations, and hazardous conditions.
- 03Validation with industrial products confirmed the model's completeness and correctness.
Application
Design takeaway
Implement structured data models to quantify and track sustainability metrics from the early stages of design through to production.
How to apply
Create or adopt a standardized data schema for tracking environmental impact factors (e.g., energy consumption, waste generation, material toxicity) associated with design choices and manufacturing processes.
Project actions
- 01Consider how you will structure the data you collect about your design's environmental impact.
- 02Think about what specific sustainability indicators are most relevant to your project.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Proposes a novel informatics framework for sustainability assessment.
- +Includes validation with industrial products.
Limitations
Developing a comprehensive information model can be time-consuming and requires a deep understanding of both design and sustainability metrics.
Reliability & validity
The validity of the model was assessed through testing with industrial products, suggesting it can correctly represent sustainability information. Reliability would depend on consistent data input and interpretation.
Think critically
How might the complexity of different manufacturing systems and product lifecycles impact the universality and effectiveness of a single information model for sustainability assessment?
Design Principles
"Systematic data modelling is essential for comprehensive sustainability assessment in design and manufacturing."
Designers and engineers often overlook the environmental implications of their choices due to the complexity of manufacturing systems. A standardized framework allows for the systematic collection and analysis of sustainability data, enabling more informed decision-making throughout the product lifecycle.
What This Means for Your Design
To figure out how eco-friendly a product or its manufacturing is, we need a good way to organize and measure all the environmental information, like what materials are used and how much energy is used.
How to use in your project
- 1.Use the concept of information modelling to justify the structure of your own sustainability assessment data.
Add to My Project
Quick Cite
(2013). A Manufacturing Informatics Framework for Manufacturing Sustainability Assessment. In : Re-engineering Manufacturing for Sustainability, Springer. Academic Publication. Retrieved from https://designdex.org/study/7b6194db-652d-48d9-b3b4-ab9f6730f0d1/a-data-framework-for-assessing-manufacturing-sustainability
Paragraph starter
This research highlights the importance of a structured informatics framework for assessing manufacturing sustainability. By developing an EXPRESS information model, the study demonstrates how to systematically capture and manage critical data such as sustainability indicators, material declarations, and hazardous conditions. This approach is vital for designers and engineers seeking to quantify and improve the environmental performance of their products and processes, providing a foundation for informed decision-making and integration with design specifications.
Source
Academic Publication
A Manufacturing Informatics Framework for Manufacturing Sustainability Assessment. In : Re-engineering Manufacturing for Sustainability, Springer
journal · 2013
View sourceQuestions about this research
- What does the research say about a data framework for assessing manufacturing sustainability?
- Implement structured data models to quantify and track sustainability metrics from the early stages of design through to production. Evidence: Academic Publication (2013).
- Why does "A data framework for assessing manufacturing sustainability" matter for design?
- Designers and engineers often overlook the environmental implications of their choices due to the complexity of manufacturing systems. A standardized framework allows for the systematic collection and analysis of sustainability data, enabling more informed decision-making throughout the product lifecycle.
- How can designers apply this research?
- Implement structured data models to quantify and track sustainability metrics from the early stages of design through to production.
- What were the main findings?
- An EXPRESS information model can effectively represent various aspects of manufacturing sustainability.. The developed model is capable of capturing sustainability indicators, weighting, uncertainty, material declarations, and hazardous conditions.. Validation with industrial products confirmed the model's completeness and correctness.
- What research method was used?
- Development and validation of an information model.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2013 journal from Academic Publication.
- What should I do differently in my next project?
- Create or adopt a standardized data schema for tracking environmental impact factors (e.g., energy consumption, waste generation, material toxicity) associated with design choices and manufacturing processes.
- What are the limitations?
- The study focused on developing the information model; further research is needed for full integration and application in real-world design workflows.
- Is there evidence that manufacturing sustainability affects design outcomes?
- A structured data model can successfully capture and represent the complex information needed to assess the environmental sustainability of manufacturing. Designers and engineers often overlook the environmental implications of their choices due to the complexity of manufacturing systems. A standardized framework allow Source: Academic Publication (2013).
- Where does this structured data research apply?
- Manufacturing industry, product design, environmental assessment It sits within modelling research on designdex.org.
Related research topics
manufacturing sustainability design research · evidence on manufacturing sustainability · does manufacturing sustainability improve design outcomes · structured data studies for designers · manufacturing sustainability and structured data findings · modelling research evidence