Short answer

When designing complex systems, especially those with regulatory or behavioural components, consider developing or utilizing a structured modelling tool that can adapt to various contexts and configurations.

Field: Modelling
Source: Journal of Environmental Management (2023)
Method: Iterative development and empirical testing
Evidence: Moderate effect

A novel support tool, built using configuration system principles and an Excel-based interface, simplifies the complex design of reverse logistics systems for companies transitioning to a circular economy. This modelling research insight is drawn from a 2023 study published in Journal of Environmental Management. Using Iterative development and empirical testing, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing complex systems, especially those with regulatory or behavioural components, consider developing or utilizing a structured modelling tool that can adapt to various contexts and configurations.

Study

ModellingRecentModerate effect

Configurational modelling tool streamlines reverse logistics design for circular economy

Journal of Environmental Management · 2023

Key Findings

01Lack of knowledge and experience is a barrier to implementing successful RL systems.
02A structured support tool can address these knowledge gaps and stimulate stakeholder discussion.
03The tool integrates various RL design aspects, including network design, stakeholder collaboration, legislation, consumer behaviour, and digital technologies.
04Configuration systems are applicable to RL design.

Application

Design takeaway

How to apply

Create a decision-tree or a checklist-based model in a spreadsheet or simple software to guide users through the key considerations for designing a specific type of system (e.g., a product take-back scheme).

Project actions

01Consider using spreadsheet software (like Excel or Google Sheets) to create a decision-making tool for a specific design problem.
02Map out the key factors and decisions involved in your design process and structure them logically.
03Think about how to make your tool adaptable to different user needs or contexts.

Method & Evidence

AimTo develop and validate a support tool for designing effective reverse logistics systems to facilitate the transition to a circular economy.

MethodIterative development and empirical testing

ProcedureThe research involved theoretical development of a knowledge base for RL design principles, followed by empirical testing and feedback from potential users to refine an Excel-based support tool. This tool incorporates configuration system principles to adapt RL design aspects.

ContextDesign of reverse logistics systems for the circular economy within businesses.

Variables

IVThe structure and content of the RLST.

DVEffectiveness of RL system design (e.g., clarity, completeness, user confidence).

CVUser's prior knowledge of RL, specific product characteristics being designed for.

Strengths & Limitations

Strengths

+Addresses a practical need for businesses in the circular economy.
+Employs an iterative development process with user feedback.
+Applies configuration system principles to RL design.

Limitations

A simplified model might not capture all the nuances of a real-world system. User feedback might be limited to a small group, potentially introducing bias.

Reliability & validity

Reliability could be improved by having multiple users test the tool independently. Validity is supported by the iterative testing and feedback from potential users, suggesting it addresses a real need.

Think critically

How might the 'knowledge base' within such a support tool become outdated, and what processes would be needed to maintain its relevance in a rapidly changing market or regulatory environment?

Design Principles

"Complex system design can be facilitated by modular, configurable knowledge-based modelling tools."

This research introduces a practical modelling tool that addresses a significant knowledge gap in designing reverse logistics (RL) systems. By providing a structured approach, it empowers designers and businesses to navigate the complexities of product return, refurbishment, and recycling, thereby facilitating the adoption of circular economy principles.

What This Means for Your Design

It's hard for companies to figure out how to get used products back and reuse them. This paper made a computer tool (like a smart spreadsheet) that helps them design these 'reverse logistics' systems, making it easier to be more eco-friendly and part of a circular economy.

How to use in your project

1.Use the concept of a 'support tool' or 'decision-making model' as inspiration for your own IA. You could create a simplified version to help users make design choices for a specific product or system.
2.Discuss how your design process was informed by a structured approach, similar to the 'configuration system' mentioned.

Add to My Project

Quick Cite

Paragraph starter

Inspired by research into support tools for complex systems, such as the RLST for reverse logistics (Mallick et al., 2023), this project developed a [describe your tool/model, e.g., decision-making flowchart] to guide users through the design of [your specific design problem]. This approach aims to address potential knowledge gaps and streamline the design process, ensuring key factors are considered.

Source

Journal of Environmental Management

Towards a circular economy: Development of a support tool for designing reverse logistics systems

journal · 2023

View source

Questions About This Research

What does the research say about configurational modelling tool streamlines reverse logistics design for circular economy?: When designing complex systems, especially those with regulatory or behavioural components, consider developing or utilizing a structured modelling tool that can adapt to various contexts and configurations. Evidence: Journal of Environmental Management (2023).
Why does "Configurational modelling tool streamlines reverse logistics design for circular economy" matter for design?: This research introduces a practical modelling tool that addresses a significant knowledge gap in designing reverse logistics (RL) systems. By providing a structured approach, it empowers designers and businesses to navigate the complexities of product return, refurbishment, and recycling, thereby facilitating the adoption of circular economy principles.
How can designers apply this research?: When designing complex systems, especially those with regulatory or behavioural components, consider developing or utilizing a structured modelling tool that can adapt to various contexts and configurations.
What were the main findings?: Lack of knowledge and experience is a barrier to implementing successful RL systems.. A structured support tool can address these knowledge gaps and stimulate stakeholder discussion.. The tool integrates various RL design aspects, including network design, stakeholder collaboration, legislation, consumer behaviour, and digital technologies.. Configuration systems are applicable to RL design.
What research method was used?: Iterative development and empirical testing.
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2023 journal from Journal of Environmental Management.
What should I do differently in my next project?: Create a decision-tree or a checklist-based model in a spreadsheet or simple software to guide users through the key considerations for designing a specific type of system (e.g., a product take-back scheme).
What are the limitations?: The effectiveness of the tool may vary depending on the specific industry, product type, and the user's familiarity with reverse logistics concepts. The Excel-based format might limit scalability for very large or complex systems.