Short answer

When designing products, consider not only how they are assembled but also how their components can be most effectively recovered and reused at the end of their life, prioritizing materials with high environmental and economic value.

Field
Resource Management
Source
Journal of Advanced Manufacturing Systems (2018)
Method
Computational modelling and optimization
Evidence
Strong effect

Selecting components for disassembly based on their CO2 saving potential and material recovery value leads to more environmentally and economically beneficial end-of-life product management. This resource management research insight is drawn from a 2018 study published in Journal of Advanced Manufacturing Systems. Using Computational modelling and optimization, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing products, consider not only how they are assembled but also how their components can be most effectively recovered and reused at the end of their life, prioritizing materials with high environmental and economic value.

Study
Resource ManagementHigh ImpactStrong effect

Prioritize high-value materials for disassembly to maximize CO2 savings and economic recovery.

Selecting components for disassembly based on their CO2 saving potential and material recovery value leads to more environmentally and economically beneficial end-of-life product management.

Journal of Advanced Manufacturing Systems · 2018

01

Key Findings

  • 01Disassembly sequence generation can be optimized by considering both environmental (CO2 savings, recycling rates) and economic (material recovery value) factors.
  • 02A CAD-based system can effectively integrate these criteria for automated parts selection.
  • 03Prioritizing high-value materials for disassembly reduces reliance on virgin resources and lowers overall carbon emissions.
02

Application

Design takeaway

When designing products, consider not only how they are assembled but also how their components can be most effectively recovered and reused at the end of their life, prioritizing materials with high environmental and economic value.

How to apply

When designing new products or redesigning existing ones, use a weighted scoring system that considers CO2 savings, recycling potential, and market value of materials to guide component selection for disassembly.

Project actions

  • 01When selecting materials, research their recycling rates and the CO2 emissions associated with their production.
  • 02Consider how easily valuable materials can be accessed and removed from the product.
  • 03Use software that can help you analyze the environmental impact of different material choices.
03

Method & Evidence

AimHow can disassembly sequences be generated to prioritize components with the highest environmental and economic value for material recovery?
MethodComputational modelling and optimization
ProcedureA CAD-based approach was developed to identify and select parts for disassembly based on criteria such as CO2 saving rate, recycling rate, and material recovery value. This method utilizes information on material properties, weight, and assembly precedence relationships to inform the selection process.
ContextEnd-of-life product management and circular supply chains

Variables

IVCriteria for parts selection (e.g., CO2 saving rate, recycling rate, material recovery value)
DVDisassembly sequence efficiency (environmental and economic metrics)
CVProduct assembly structure, material properties, precedence relationships
04

Strengths & Limitations

Strengths

  • +Integrates both environmental and economic considerations for a holistic approach to disassembly.
  • +Utilizes CAD for a practical and potentially automatable solution.

Limitations

Data on material recovery values and CO2 emissions can be difficult to obtain and may vary by region or supplier. The complexity of real-world disassembly processes may not be fully captured by simplified models.

Reliability & validity

The reliability of the findings depends on the consistency of the data used for CO2 savings and material recovery values. Validity is enhanced by the CAD-based approach, which simulates a practical application, but further validation with real-world disassembly would be beneficial.

Think critically

To what extent can the proposed method account for the variability in material prices and recycling infrastructure across different geographical locations?

05

Design Principles

"Maximize resource value and minimize environmental impact through intelligent end-of-life material selection."

This approach moves beyond simple recycling to actively optimize resource loops within supply chains. By integrating environmental and economic factors into disassembly strategies, design teams can significantly reduce their product's lifecycle carbon footprint and enhance material circulation.

06

What This Means for Your Design

Think about what parts of your product are most valuable to recycle and save the most energy when you take it apart at the end of its life. This makes recycling better for the planet and your wallet.

How to use in your project

  • 1.This research can inform the material selection and disassembly strategy for a product design project, demonstrating an understanding of circular economy principles.
07

Add to My Project

08

Quick Cite

Paragraph starter

This design project incorporates principles of resource management by prioritizing components for disassembly based on their environmental and economic value. By analyzing material recovery rates and CO2 saving potential, the design aims to maximize resource circulation and minimize waste, aligning with circular economy objectives.

09

Source

Journal of Advanced Manufacturing Systems

Energy Efficient Disassembly Sequence Generation Using Subassembly Detection Method with Environmental and Economic Parts Selection

journal · 2018

View source

Questions About This Research

What does the research say about prioritize high-value materials for disassembly to maximize co2 savings and economic recovery?
When designing products, consider not only how they are assembled but also how their components can be most effectively recovered and reused at the end of their life, prioritizing materials with high environmental and economic value. Evidence: Journal of Advanced Manufacturing Systems (2018).
Why does "Prioritize high-value materials for disassembly to maximize CO2 savings and economic recovery." matter for design?
This approach moves beyond simple recycling to actively optimize resource loops within supply chains. By integrating environmental and economic factors into disassembly strategies, design teams can significantly reduce their product's lifecycle carbon footprint and enhance material circulation.
How can designers apply this research?
When designing products, consider not only how they are assembled but also how their components can be most effectively recovered and reused at the end of their life, prioritizing materials with high environmental and economic value.
What were the main findings?
Disassembly sequence generation can be optimized by considering both environmental (CO2 savings, recycling rates) and economic (material recovery value) factors.. A CAD-based system can effectively integrate these criteria for automated parts selection.. Prioritizing high-value materials for disassembly reduces reliance on virgin resources and lowers overall carbon emissions.
What research method was used?
Computational modelling and optimization.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2018 journal from Journal of Advanced Manufacturing Systems.
What should I do differently in my next project?
When designing new products or redesigning existing ones, use a weighted scoring system that considers CO2 savings, recycling potential, and market value of materials to guide component selection for disassembly.
What are the limitations?
The effectiveness of the method is dependent on the accuracy and availability of data regarding material recovery values and CO2 emissions. Manual disassembly costs can also vary significantly, impacting economic viability.