Agent-based simulation optimizes industrial symbiosis cost-sharing for economic viability

Why It Matters

Industrial symbiosis, a core tenet of the circular economy, often faces challenges due to the unpredictable nature of waste by-product generation and demand. This research provides a framework for designers and businesses to proactively model and manage these uncertainties, leading to more robust and economically sustainable eco-design initiatives.

Key Finding

The study found that how companies share the costs and benefits of industrial symbiosis is heavily dependent on how well the supply of waste matches the demand, and the balance between the money saved and the extra money spent to make the symbiosis work.

Key Findings

• Cost-sharing strategies in industrial symbiosis are significantly influenced by the mismatch between waste supply and demand.
• The relationship between saved costs (from using waste) and additional costs (of operating symbiosis) critically affects the economic feasibility of cooperation.
• The simulation model can identify operationally favorable conditions for economically win-win industrial symbiosis relationships.

Research Evidence

Aim: How can an integrated enterprise input-output and agent-based simulation model be used to determine economically viable cost-sharing policies for industrial symbiosis operations under conditions of supply-demand mismatch?

Method: Simulation modelling and economic analysis

Procedure: An enterprise input-output model was developed to assess costs and benefits of industrial symbiosis. This was integrated with an agent-based model to simulate company interactions and economic benefit sharing. The combined model was applied to a numerical example to explore cooperation spaces and cost-sharing policies.

Context: Industrial symbiosis networks, circular economy implementation

Design Principle

Model and simulate potential economic outcomes of resource-sharing networks to ensure equitable benefit distribution and operational viability.

How to Apply

Utilize agent-based simulation software to model a proposed industrial symbiosis network, inputting data on waste generation, demand, operational costs, and potential savings to test various cost-sharing scenarios.

Limitations

The model's application was based on a numerical example, and real-world complexities of industrial symbiosis networks may introduce additional variables not fully captured.

Student Guide (IB Design Technology)

Simple Explanation: This research shows that by using computer simulations, businesses can figure out the best way to share costs and benefits in industrial symbiosis projects, making sure everyone wins, even if the amount of waste produced isn't always predictable.

Why This Matters: Understanding how to make industrial symbiosis economically viable is key to implementing circular economy principles, which is a significant area in sustainable design projects.

Critical Thinking: To what extent can simulation models accurately predict the complex, emergent behaviors of real-world industrial symbiosis networks, and what are the ethical considerations in designing cost-sharing policies that might disproportionately benefit certain participants?

IA-Ready Paragraph: This research highlights the critical role of economic modelling and simulation in establishing successful industrial symbiosis networks. By integrating enterprise input-output analysis with agent-based simulation, the authors demonstrate how to identify optimal cost-sharing strategies that ensure economic viability for all participants, even when faced with the inherent uncertainty of waste supply and demand. This approach provides a valuable decision-support tool for developing robust and sustainable circular economy initiatives.

Project Tips

• When exploring industrial symbiosis, consider how to model the flow of resources and associated costs/benefits.
• Investigate agent-based modelling as a tool to simulate interactions between different entities in a system.

How to Use in IA

• Reference this study when discussing the economic feasibility and operational challenges of industrial symbiosis in your design project.
• Use the concept of simulation modelling to justify your approach to analysing the economic aspects of your sustainable design solution.

Examiner Tips

• Demonstrate an understanding of the economic drivers and potential pitfalls of industrial symbiosis.
• Show how simulation can be used as a tool to de-risk innovative sustainable business models.

Independent Variable: ["Waste supply-demand mismatch","Ratio of saved costs to additional costs"]

Dependent Variable: ["Economic benefits shared among companies","Feasibility of industrial symbiosis cooperation"]

Controlled Variables: ["Number of companies in the symbiosis network","Initial cost and benefit parameters"]

Strengths

• Integrates two powerful modelling techniques (input-output and agent-based simulation).
• Provides a practical decision-support tool for businesses and policymakers.

Critical Questions

• How sensitive are the findings to the specific assumptions made in the agent-based model?
• What are the scalability challenges of applying this model to very large or complex industrial symbiosis networks?

Extended Essay Application

• Investigate the economic feasibility of a proposed industrial symbiosis network for a specific industry or region using simulation.
• Develop a framework for designing equitable cost-sharing mechanisms in collaborative resource management projects.

Source

Sustainable operations of industrial symbiosis: an enterprise input-output model integrated by agent-based simulation · International Journal of Production Research · 2019 · 10.1080/00207543.2019.1590660