Short answer
Integrate end-of-life cost prediction into the earliest stages of product conceptualization to drive sustainable design choices and manage lifecycle expenses.
- Field
- Resource Management
- Source
- Journal of Cleaner Production (2014)
- Method
- Case Study with Cost Modelling
- Evidence
- Strong effect
Integrating end-of-life cost prediction into the conceptual design phase allows manufacturers to proactively design for sustainability and reduce overall product lifecycle expenses. This resource management research insight is drawn from a 2014 study published in Journal of Cleaner Production. Using Case study with cost modelling, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate end-of-life cost prediction into the earliest stages of product conceptualization to drive sustainable design choices and manage lifecycle expenses.
Predicting End-of-Life Costs in Early Design Concepts Reduces Lifecycle Expenses
Integrating end-of-life cost prediction into the conceptual design phase allows manufacturers to proactively design for sustainability and reduce overall product lifecycle expenses.
Journal of Cleaner Production · 2014
Key Findings
- 01A significant portion of product lifecycle costs can be attributed to end-of-life processes.
- 02A predictive model can effectively estimate EOL costs at the conceptual design stage.
- 03Early consideration of EOL costs facilitates design choices that favour recycling, refurbishment, or remanufacturing.
Application
Design takeaway
Integrate end-of-life cost prediction into the earliest stages of product conceptualization to drive sustainable design choices and manage lifecycle expenses.
How to apply
When developing new products, create a preliminary cost estimate for potential recycling, refurbishment, or disposal based on anticipated materials and complexity, using this as a factor in design decisions.
Project actions
- 01Consider the materials you are using and their ease of recycling or disposal.
- 02Research potential costs associated with dismantling and processing products at their end-of-life.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses a critical but often overlooked aspect of product lifecycle.
- +Provides a practical roadmap for cost prediction.
Limitations
Accurately predicting future disposal costs can be challenging due to evolving regulations and market prices for recycled materials.
Reliability & validity
The study's validity is supported by its focus on a specific domain (defence electronics) and the development of a concrete roadmap. Reliability would depend on the consistency of the cost model's application and the accuracy of the input data.
Think critically
To what extent can EOL cost prediction models be made universally applicable across diverse product categories and industries, given the variability in materials, manufacturing processes, and regional disposal regulations?
Design Principles
"Design for Disassembly and Recovery: Anticipate and account for the costs and processes associated with product end-of-life during the initial design concept."
Understanding and quantifying potential end-of-life (EOL) costs early in the design process enables informed decisions regarding material selection, component design, and end-of-life strategies like recycling, refurbishment, or remanufacturing. This proactive approach can lead to more economically viable and environmentally responsible product development.
What This Means for Your Design
Think about how your product will be thrown away or reused *before* you even start designing it. This can save money and help the environment.
How to use in your project
- 1.Use this research to justify the importance of considering end-of-life costs in your design process and to inform your own cost analysis.
Add to My Project
Quick Cite
Paragraph starter
This research highlights the critical need to integrate end-of-life cost prediction into the early conceptual design phase. By proactively assessing potential disposal, recycling, or remanufacturing expenses, designers can make more informed decisions that lead to products with reduced lifecycle costs and improved sustainability, as demonstrated by the proposed roadmap for defence electronic systems.
Source
Journal of Cleaner Production
Towards cleaner production: a roadmap for predicting product end-of-life costs at early design concept
journal · 2014
View sourceQuestions About This Research
- What does the research say about predicting end-of-life costs in early design concepts reduces lifecycle expenses?
- Integrate end-of-life cost prediction into the earliest stages of product conceptualization to drive sustainable design choices and manage lifecycle expenses. Evidence: Journal of Cleaner Production (2014).
- Why does "Predicting End-of-Life Costs in Early Design Concepts Reduces Lifecycle Expenses" matter for design?
- Understanding and quantifying potential end-of-life (EOL) costs early in the design process enables informed decisions regarding material selection, component design, and end-of-life strategies like recycling, refurbishment, or remanufacturing. This proactive approach can lead to more economically viable and environmentally responsible product development.
- How can designers apply this research?
- Integrate end-of-life cost prediction into the earliest stages of product conceptualization to drive sustainable design choices and manage lifecycle expenses.
- What were the main findings?
- A significant portion of product lifecycle costs can be attributed to end-of-life processes.. A predictive model can effectively estimate EOL costs at the conceptual design stage.. Early consideration of EOL costs facilitates design choices that favour recycling, refurbishment, or remanufacturing.
- What research method was used?
- Case Study with Cost Modelling.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2014 journal from Journal of Cleaner Production.
- What should I do differently in my next project?
- When developing new products, create a preliminary cost estimate for potential recycling, refurbishment, or disposal based on anticipated materials and complexity, using this as a factor in design decisions.
- What are the limitations?
- The proposed model was validated on a single defence electronic system, and its generalizability to other product types or industries may require further investigation.