Short answer
When selecting suppliers, especially for products with environmental impacts, use decision-making models that can weigh and integrate environmental performance alongside traditional metrics, acknowledging that these factors may influence each other.
- Field
- Resource Management
- Source
- Journal of Business Economics and Management (2016)
- Method
- Quantitative research using a modified Delphi method for criteria determination and a fuzzy multi-criteria decision-making (MCDM) approach (Fuzzy Choquet Integral) for supplier evaluation.
- Evidence
- Strong effect
A fuzzy Choquet integral approach can effectively integrate environmental criteria into supplier selection, balancing multiple, potentially interacting, decision factors. This resource management research insight is drawn from a 2016 study published in Journal of Business Economics and Management. Using Quantitative research using a modified delphi method for criteria determination and a fuzzy multi-criteria decision-making (mcdm) approach (fuzzy choquet integral) for supplier evaluation., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When selecting suppliers, especially for products with environmental impacts, use decision-making models that can weigh and integrate environmental performance alongside traditional metrics, acknowledging that these factors may influence each other.
Fuzzy Choquet Integral Optimizes Supplier Selection for Green Supply Chains
A fuzzy Choquet integral approach can effectively integrate environmental criteria into supplier selection, balancing multiple, potentially interacting, decision factors.
Journal of Business Economics and Management · 2016
Key Findings
- 01The Fuzzy Choquet Integral operator effectively handles the interdependence between decision criteria in supplier selection.
- 02Incorporating environmental criteria into supplier selection is feasible and beneficial for corporate social responsibility and competitiveness.
- 03The methodology provides a structured approach to deal with the subjective nature and uncertainty inherent in expert judgments during supplier evaluation.
Application
Design takeaway
When selecting suppliers, especially for products with environmental impacts, use decision-making models that can weigh and integrate environmental performance alongside traditional metrics, acknowledging that these factors may influence each other.
How to apply
When evaluating potential suppliers for a new product or service, use a weighted scoring system that includes environmental impact metrics (e.g., carbon footprint, waste reduction). Employ a decision matrix that allows for the assessment of how different criteria (e.g., cost, quality, environmental performance) interact to influence the overall supplier suitability.
Project actions
- 01When choosing materials or components, consider the environmental impact of their sourcing and production.
- 02If your design project involves a supply chain, think about how to evaluate suppliers based on sustainability criteria.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Addresses a critical gap in supplier selection by explicitly incorporating environmental criteria.
- +Provides a robust mathematical framework (Fuzzy Choquet Integral) to handle complex decision-making with interdependent criteria and uncertainty.
Limitations
It can be challenging to gather accurate environmental data from suppliers. Expert opinions can be subjective and difficult to quantify precisely.
Reliability & validity
Reliability could be enhanced by using multiple expert groups or repeating the Delphi process. Validity is supported by the case study application and the logical framework of fuzzy set theory and the Choquet integral for handling complex decision problems.
Think critically
To what extent does the 'fuzziness' in expert judgments truly reflect real-world uncertainty in environmental performance, and how might this impact the reliability of the final supplier selection?
Design Principles
"Integrate sustainability metrics into supplier selection processes using multi-criteria decision-making frameworks that account for criterion interdependencies."
In today's business landscape, environmental responsibility is paramount. This research offers a robust method for designers and supply chain managers to select suppliers who not only meet performance needs but also align with sustainability goals, thereby enhancing corporate image and competitiveness.
What This Means for Your Design
This study shows a smart way to pick suppliers by looking at how good they are for the environment, not just how cheap or good their products are. It uses a special math tool that understands that some of these things are connected.
How to use in your project
- 1.Reference this study when discussing the importance of environmental factors in material or component selection, or when justifying the use of a multi-criteria decision-making approach for evaluating options.
Add to My Project
Quick Cite
Paragraph starter
This research highlights the critical need to integrate environmental considerations into supplier selection processes. By employing advanced decision-making tools, such as fuzzy logic and the Choquet integral, designers and supply chain managers can effectively evaluate suppliers not only on traditional metrics like cost and quality but also on their environmental performance, ensuring a more sustainable and competitive supply chain.
Source
Journal of Business Economics and Management
USING FUZZY CHOQUET INTEGRAL OPERATOR FOR SUPPLIER SELECTION WITH ENVIRONMENTAL CONSIDERATIONS
journal · 2016
View sourceQuestions About This Research
- What does the research say about fuzzy choquet integral optimizes supplier selection for green supply chains?
- When selecting suppliers, especially for products with environmental impacts, use decision-making models that can weigh and integrate environmental performance alongside traditional metrics, acknowledging that these factors may influence each other. Evidence: Journal of Business Economics and Management (2016).
- Why does "Fuzzy Choquet Integral Optimizes Supplier Selection for Green Supply Chains" matter for design?
- In today's business landscape, environmental responsibility is paramount. This research offers a robust method for designers and supply chain managers to select suppliers who not only meet performance needs but also align with sustainability goals, thereby enhancing corporate image and competitiveness.
- How can designers apply this research?
- When selecting suppliers, especially for products with environmental impacts, use decision-making models that can weigh and integrate environmental performance alongside traditional metrics, acknowledging that these factors may influence each other.
- What were the main findings?
- The Fuzzy Choquet Integral operator effectively handles the interdependence between decision criteria in supplier selection.. Incorporating environmental criteria into supplier selection is feasible and beneficial for corporate social responsibility and competitiveness.. The methodology provides a structured approach to deal with the subjective nature and uncertainty inherent in expert judgments during supplier evaluation.
- What research method was used?
- Quantitative research using a modified Delphi method for criteria determination and a fuzzy multi-criteria decision-making (MCDM) approach (Fuzzy Choquet Integral) for supplier evaluation..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2016 journal from Journal of Business Economics and Management.
- What should I do differently in my next project?
- When evaluating potential suppliers for a new product or service, use a weighted scoring system that includes environmental impact metrics (e.g., carbon footprint, waste reduction). Employ a decision matrix that allows for the assessment of how different criteria (e.g., cost, quality, environmental performance) interact to influence the overall supplier suitability.
- What are the limitations?
- The methodology's effectiveness is dependent on the quality and availability of expert knowledge and data. The computational complexity of fuzzy integrals might be a barrier for very large-scale problems without specialized software.