Study
SustainabilityNew This WeekStrong effect

Integrating Multi-Criteria Decision Making for Environmentally Sustainable Robot Design

Applying a hybrid Multi-Criteria Decision Making (MCDM) approach, such as ANP and ISM, can systematically evaluate and enhance the environmental sustainability of robot design and development.

Scientific Reports · 2025

01

Key Findings

  • 01A hybrid MCDM approach (ANP-ISM) is effective for evaluating green robotics.
  • 02Sustainability considerations can be integrated from robot design through application.
  • 03Measures for green computing, material selection, and energy/cost reduction are crucial for assessing green robot models.
02

Application

Design takeaway

Incorporate a hybrid MCDM framework, such as ANP and ISM, into the design process to systematically evaluate and optimize the environmental sustainability of robotic systems.

How to apply

When designing new robotic systems or components, use a structured decision-making process that explicitly weighs environmental factors alongside performance and cost.

Project actions

  • 01When choosing materials or components, consider their environmental impact alongside their functional properties.
  • 02Use a structured method to compare different design options based on multiple sustainability criteria.
03

Method & Evidence

AimHow can a hybrid MCDM methodology be effectively applied to assess and improve the environmental sustainability of robot design and development processes?
MethodHybrid MCDM (ANP and ISM)
ProcedureThe study analyzed the correlation between Green Robotics (GR), Green Supply Chain Management (GSCM), and green computing. It then developed and evaluated two educational mobile robots using a hybrid MCDM technique, integrating Analytic Network Process (ANP) and Interpretive Structure Modelling (ISM) to assess green computing, material selection, and energy/cost reduction measures.
ContextRobotics design and development, with a focus on environmental sustainability.

Variables

IVHybrid MCDM methodology (ANP and ISM)
DVEnvironmental sustainability performance of robots (e.g., green computing, material selection, energy/cost reduction)
CVRobot design and application context, specific MCDM criteria used.
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Strengths & Limitations

Strengths

  • +Provides a systematic and quantitative approach to sustainability assessment.
  • +Integrates multiple environmental factors into a single decision-making framework.

Limitations

The specific MCDM tools used might be complex to implement without dedicated software or training. The weighting of criteria can be subjective.

Reliability & validity

The reliability and validity of the MCDM approach depend on the consistency of expert judgment in criterion weighting and the robustness of the chosen MCDM model. The study's empirical results suggest good performance, indicating a degree of reliability.

Think critically

To what extent can the complexity of MCDM methods be simplified for practical application in design projects with limited resources?

05

Design Principles

"Holistic environmental assessment through multi-criteria decision making is essential for sustainable product development."

This research provides a structured framework for designers and engineers to make informed decisions that prioritize ecological impact throughout the entire robot lifecycle. By considering multiple sustainability factors, it enables the creation of 'green robots' that minimize environmental harm.

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What This Means for Your Design

This study shows that using a smart decision-making tool helps designers make robots that are better for the environment by looking at many factors at once.

How to use in your project

  • 1.Use the MCDM framework as a method to justify design choices in your project, especially when evaluating alternative solutions for environmental impact.
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Add to My Project

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Quick Cite

(2025). Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making. Scientific Reports. https://doi.org/10.1038/s41598-025-07605-2 Retrieved from https://designdex.org/study/20acc7ab-71cc-4de2-bd9e-9c5f212462ab/integrating-multi-criteria-decision-making-for-environmentally-sustainable-robot-design

Paragraph starter

The research by Sathiya et al. (2025) highlights the utility of Multi-Criteria Decision Making (MCDM) techniques, specifically a hybrid approach combining Analytic Network Process (ANP) and Interpretive Structure Modelling (ISM), for enhancing the environmental sustainability of robot design. This methodology allows for a systematic evaluation of various factors, including green computing, material selection, and energy efficiency, from the initial design stages through to application, providing a robust framework for making environmentally conscious design decisions.

09

Source

Scientific Reports

Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making

journal · 2025

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Questions about this research

What does the research say about integrating multi-criteria decision making for environmentally sustainable robot design?
Incorporate a hybrid MCDM framework, such as ANP and ISM, into the design process to systematically evaluate and optimize the environmental sustainability of robotic systems. Evidence: Scientific Reports (2025).
Why does "Integrating Multi-Criteria Decision Making for Environmentally Sustainable Robot Design" matter for design?
This research provides a structured framework for designers and engineers to make informed decisions that prioritize ecological impact throughout the entire robot lifecycle. By considering multiple sustainability factors, it enables the creation of 'green robots' that minimize environmental harm.
How can designers apply this research?
Incorporate a hybrid MCDM framework, such as ANP and ISM, into the design process to systematically evaluate and optimize the environmental sustainability of robotic systems.
What were the main findings?
A hybrid MCDM approach (ANP-ISM) is effective for evaluating green robotics.. Sustainability considerations can be integrated from robot design through application.. Measures for green computing, material selection, and energy/cost reduction are crucial for assessing green robot models.
What research method was used?
Hybrid MCDM (ANP and ISM).
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2025 journal from Scientific Reports.
What should I do differently in my next project?
When designing new robotic systems or components, use a structured decision-making process that explicitly weighs environmental factors alongside performance and cost.
What are the limitations?
The study focused on educational mobile robots, and the applicability to other robot types or industrial contexts may require further investigation. The complexity of the hybrid MCDM method might pose a learning curve for some design teams.
Is there evidence that multi-criteria decision affects design outcomes?
A combined approach using ANP and ISM effectively guides the design of robots to be more environmentally sustainable by evaluating factors like green computing, material choices, and energy efficiency. This research provides a structured framework for designers and engineers to make informed decisions that prioritize e Source: Scientific Reports (2025).
Where does this decision making research apply?
Robotics design and development, with a focus on environmental sustainability. It sits within sustainability research on designdex.org.

Related research topics

multi-criteria decision design research · evidence on multi-criteria decision · does multi-criteria decision improve design outcomes · decision making studies for designers · multi-criteria decision and decision making findings · sustainability research evidence