Short answer
Integrate profit and environmental impact assessments into the early stages of supply chain design and product development for fashion items.
- Field
- Resource Management
- Source
- Sustainability (2014)
- Method
- Mathematical Modelling and Simulation
- Evidence
- Strong effect
A multi-objective optimization model can simultaneously balance profit generation and CO2 emission reduction within a closed-loop fashion supply chain. This resource management research insight is drawn from a 2014 study published in Sustainability. Using Mathematical modelling and simulation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate profit and environmental impact assessments into the early stages of supply chain design and product development for fashion items.
Optimizing Fashion CLSC Profitability and CO2 Reduction through Integrated Planning
A multi-objective optimization model can simultaneously balance profit generation and CO2 emission reduction within a closed-loop fashion supply chain.
Sustainability · 2014
Key Findings
- 01An integrated planning model can effectively balance profit and CO2 emission reduction in a closed-loop fashion supply chain.
- 02Optimal pricing strategies can be determined in conjunction with production, transportation, and inventory decisions to enhance CLSC profitability.
- 03Sensitivity analyses reveal key drivers influencing the profit-CO2 trade-off.
Application
Design takeaway
Integrate profit and environmental impact assessments into the early stages of supply chain design and product development for fashion items.
How to apply
Use optimization software to model your product's supply chain, inputting data on production costs, transportation emissions, material recovery rates, and potential resale values to identify optimal strategies.
Project actions
- 01Consider how your design choices impact the entire lifecycle, including end-of-life.
- 02Think about how to model the costs and benefits of different material choices or manufacturing processes.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a quantitative framework for decision-making.
- +Addresses a critical issue in the fashion industry.
Limitations
It can be challenging to gather accurate data for all aspects of a complex supply chain, and simplifying assumptions may be necessary.
Reliability & validity
The model's validity is supported by numerical experiments and sensitivity analyses, which test its performance under various conditions. Reliability would depend on the consistency of the input data and the mathematical integrity of the optimization algorithm.
Think critically
How might the 'optimal trade-off' identified in this model shift with changes in consumer demand for sustainable products or evolving environmental regulations?
Design Principles
"Closed-loop systems should be designed to optimize for both economic return and environmental performance."
This research provides a framework for designers and supply chain managers to make informed decisions that benefit both the business's bottom line and environmental sustainability. By integrating profit analysis with CO2 emission considerations, it enables the development of more responsible and economically viable product lifecycles.
What This Means for Your Design
This study shows that you can use math to figure out the best way for fashion companies to make money while also cutting down on pollution from recycling clothes.
How to use in your project
- 1.Reference this study when discussing the economic and environmental considerations of a closed-loop system in your design project.
Add to My Project
Quick Cite
Paragraph starter
This research by Oh and Jeong (2014) highlights the potential for integrated planning models in closed-loop fashion supply chains to optimize both profitability and environmental performance, suggesting that design decisions should consider the entire product lifecycle and its associated economic and ecological impacts.
Source
Sustainability
Profit Analysis and Supply Chain Planning Model for Closed-Loop Supply Chain in Fashion Industry
journal · 2014
View sourceQuestions About This Research
- What does the research say about optimizing fashion clsc profitability and co2 reduction through integrated planning?
- Integrate profit and environmental impact assessments into the early stages of supply chain design and product development for fashion items. Evidence: Sustainability (2014).
- Why does "Optimizing Fashion CLSC Profitability and CO2 Reduction through Integrated Planning" matter for design?
- This research provides a framework for designers and supply chain managers to make informed decisions that benefit both the business's bottom line and environmental sustainability. By integrating profit analysis with CO2 emission considerations, it enables the development of more responsible and economically viable product lifecycles.
- How can designers apply this research?
- Integrate profit and environmental impact assessments into the early stages of supply chain design and product development for fashion items.
- What were the main findings?
- An integrated planning model can effectively balance profit and CO2 emission reduction in a closed-loop fashion supply chain.. Optimal pricing strategies can be determined in conjunction with production, transportation, and inventory decisions to enhance CLSC profitability.. Sensitivity analyses reveal key drivers influencing the profit-CO2 trade-off.
- What research method was used?
- Mathematical Modelling and Simulation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2014 journal from Sustainability.
- What should I do differently in my next project?
- Use optimization software to model your product's supply chain, inputting data on production costs, transportation emissions, material recovery rates, and potential resale values to identify optimal strategies.
- What are the limitations?
- The model's effectiveness is dependent on the accuracy of input data regarding costs, emissions, and market demand. Real-world complexities not explicitly modeled could affect outcomes.