Hybrid FMEA-DEMATEL-MADM model prioritizes waste reduction in steel plate manufacturing
Category: Resource Management · Effect: Strong effect · Year: 2023
A hybrid analytical model combining FMEA, DEMATEL, and PCIM-MADM can systematically identify and prioritize waste-producing factors in steel plate manufacturing, leading to more effective resource management and sustainable production.
Design Takeaway
Integrate a multi-faceted risk assessment framework, such as the hybrid FMEA-DEMATEL-MADM model, into the design and production planning stages to systematically identify and mitigate waste.
Why It Matters
This research offers a structured, data-driven approach for designers and engineers to tackle waste in complex manufacturing processes. By pinpointing critical waste factors and their interdependencies, it enables targeted interventions that enhance material efficiency and reduce environmental impact, aligning with global sustainability goals.
Key Finding
A combined approach using FMEA, DEMATEL, and MADM methods successfully pinpointed the most significant sources of waste in steel plate production and ranked them for targeted improvement efforts.
Key Findings
- The hybrid model effectively identifies and prioritizes critical waste factors in steel plate production.
- DEMATEL analysis reveals the complex interdependencies between various waste-producing elements.
- PCIM-MADM provides a quantitative basis for ranking corrective actions based on risk scores.
Research Evidence
Aim: To develop and validate a hybrid evaluation model for identifying and prioritizing waste-producing factors in steel plate manufacturing to support sustainable development.
Method: Hybrid Analytical Model (FMEA, DEMATEL, PCIM-MADM)
Procedure: The study involved on-site inspections to identify waste sources, followed by DEMATEL to analyze the interrelationships between risk factors, and PCIM-MADM to aggregate and evaluate risk scores for prioritization of corrective actions.
Context: Steel plate manufacturing industry
Design Principle
Systematic waste identification and prioritization are crucial for achieving resource efficiency and sustainable manufacturing.
How to Apply
When designing or redesigning a manufacturing process, conduct a thorough risk assessment using FMEA to identify potential failure modes leading to waste. Then, use DEMATEL to map the causal relationships between these failure modes and employ a multi-attribute decision-making technique like MADM to quantify and rank the severity of waste generation for targeted interventions.
Limitations
The model's effectiveness may depend on the accuracy of initial data collection and expert input. Generalizability to other manufacturing sectors requires further validation.
Student Guide (IB Design Technology)
Simple Explanation: This study shows how to use a smart checklist (FMEA) combined with a network map (DEMATEL) and a scoring system (MADM) to find the biggest ways a factory making steel plates is wasting materials and energy, so they can fix those problems first.
Why This Matters: Understanding and reducing waste is a key part of designing responsibly and sustainably. This research provides a method to systematically find and fix waste in a real-world manufacturing setting.
Critical Thinking: How might the interdependencies identified by DEMATEL influence the prioritization of corrective actions, and what are the potential trade-offs when addressing highly interconnected waste factors?
IA-Ready Paragraph: This research highlights the importance of systematic risk assessment in sustainable production. The hybrid FMEA-DEMATEL-MADM model provides a robust framework for identifying and prioritizing waste factors in manufacturing processes, offering valuable insights for optimizing resource efficiency and minimizing environmental impact.
Project Tips
- When identifying potential problems in your design, think about how they could lead to waste of materials, energy, or time.
- Consider mapping out how different problems might be connected to each other to understand the bigger picture.
How to Use in IA
- Reference this study when discussing methods for identifying and evaluating risks related to material waste or process inefficiency in your design project.
Examiner Tips
- Demonstrate an understanding of how to systematically identify and quantify potential sources of waste in a design or production process.
Independent Variable: ["Waste-producing factors in steel plate manufacturing","Interconnectedness of risk factors"]
Dependent Variable: ["Prioritization of corrective actions for waste reduction","Risk scores of waste factors"]
Controlled Variables: ["Specific steel plate manufacturing process","Factory conditions","Expert judgment criteria"]
Strengths
- Comprehensive methodology integrating multiple analytical tools.
- Focus on practical application for sustainable development in a key industry.
Critical Questions
- To what extent can the findings be generalized to other manufacturing sectors with different material properties and production scales?
- What are the computational and data requirements for implementing such a hybrid model in practice?
Extended Essay Application
- Investigate the application of a similar hybrid risk assessment model to identify and mitigate waste in a different design context, such as product packaging or electronic waste management.
Source
Risk Assessment in Sustainable Production: Utilizing a Hybrid Evaluation Model to Identify the Waste Factors in Steel Plate Manufacturing · Sustainability · 2023 · 10.3390/su152416583