Simulating Circular Design Strategies Optimizes Cost and CO2 Emissions in Manufacturing

Why It Matters

This research provides a framework for designers and engineers to make informed decisions about circularity early in the design process. By simulating various post-use scenarios and business models, it bridges the gap between design choices and their real-world economic and environmental consequences, fostering more sustainable manufacturing practices.

Key Finding

The study successfully developed a simulation approach to assess the trade-offs between different circular economy strategies (reuse, remanufacturing, recycling) in terms of design effort, cost, and environmental impact, leading to optimized component selection for specific business models.

Key Findings

• Quantified design efforts for reuse, remanufacturing, and recycling strategies.
• Explored cost and CO2 emissions for different design options and business model configurations.
• Identified cost-effective combinations of reused, remanufactured, and recycled components through optimization.

Research Evidence

Aim: To develop a systematic method using multi-method simulation to quantify design effort for circular product options and identify the most cost-effective and environmentally friendly combinations of reuse, remanufacturing, and recycling strategies within different business models.

Method: Multi-method simulation (Agent-based product architecture combined with Discrete Event Closed-Loop Supply Chain modelling)

Procedure: A simulation model was developed that integrates product architecture with supply chain dynamics. This model was used to quantify design efforts for reuse, remanufacturing, and recycling, explore cost and emissions under various business models, and run optimization experiments to find optimal component strategies for a chosen business model.

Context: Manufacturing systems, Circular economy implementation, Product design, Business strategy

Design Principle

Design for circularity requires integrated simulation of product architecture and supply chain dynamics to optimize economic and environmental outcomes.

How to Apply

Use simulation software to model product architectures and supply chains, inputting data on material properties, disassembly processes, and potential business models to compare the lifecycle costs and carbon footprints of various circular strategies.

Limitations

The model's accuracy is dependent on the quality of input data for design effort, costs, and supply chain parameters. The case study was specific to a washing machine, and generalizability to other product types may vary.

Student Guide (IB Design Technology)

Simple Explanation: This study shows how computer simulations can help designers figure out the best way to make products that can be reused, fixed, or recycled, saving money and reducing pollution.

Why This Matters: Understanding how design decisions affect the entire lifecycle of a product, especially in a circular economy, is essential for creating sustainable and economically viable solutions.

Critical Thinking: How might the accuracy of the simulation results be affected by unforeseen disruptions in the supply chain or variations in material quality over time?

IA-Ready Paragraph: This research highlights the critical role of simulation in the circular economy, demonstrating how multi-method approaches can quantify design effort and predict the economic and environmental consequences of reuse, remanufacturing, and recycling strategies. By integrating product architecture with supply chain dynamics, designers can make informed decisions that optimize for both cost and CO2 emissions, aligning design choices with business objectives for sustainable manufacturing.

Project Tips

• When designing a product for a circular economy, consider how it will be disassembled, repaired, or recycled.
• Use simulation tools to predict the costs and environmental impact of your design choices.

How to Use in IA

• Reference this study when discussing the importance of simulating circular design strategies and their impact on business models and environmental outcomes.

Examiner Tips

• Demonstrate an understanding of how simulation can be used to evaluate the trade-offs between different circular economy strategies.

Independent Variable: ["Circular design strategies (reuse, remanufacturing, recycling)","Business model configurations"]

Dependent Variable: ["Design effort","Cost","CO2 emissions"]

Controlled Variables: ["Product architecture","Supply chain structure"]

Strengths

• Integrates product design with business strategy.
• Uses a robust multi-method simulation approach.
• Provides quantitative data for decision-making.

Critical Questions

• What are the limitations of using simulation to predict real-world circular economy outcomes?
• How can the 'design effort' for different circular strategies be objectively quantified?

Extended Essay Application

• Investigate the potential for using simulation to optimize the design of a specific product for a circular economy, focusing on material selection and disassembly processes.

Source

Towards circular economy implementation in manufacturing systems using a multi-method simulation approach to link design and business strategy · The International Journal of Advanced Manufacturing Technology · 2017 · 10.1007/s00170-017-0610-9