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Entropy-Based Lean, Energy and Six Sigma Approach to Achieve Sustainability in Manufacturing System.
Neha Verma1, Vinay Sharma2, M Affan Badar3
1Department of Mechanical Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, Chhattisgarh 492013 India.
This study introduces a Lean-Energy-Six Sigma Value Stream Mapping (LESSVSM) to minimize energy waste in manufacturing. The model identifies energy use and waste, improving sustainability by reducing rework and rejection.
Area of Science:
- Industrial Engineering
- Sustainable Manufacturing
- Operations Management
Background:
- Traditional Value Stream Mapping (VSM) lacks focus on energy consumption and waste.
- Integrating Lean, Energy, and Six Sigma methodologies is crucial for modern manufacturing efficiency.
- Identifying energy waste is key to achieving sustainable production processes.
Purpose of the Study:
- To develop an integrated Lean-Energy-Six Sigma Value Stream Mapping (LESSVSM) framework for manufacturing.
- To quantify energy use and waste within a manufacturing value stream.
- To provide a systematic approach for enhancing sustainable manufacturing practices.
Main Methods:
- Amending Lean's VSM tool to incorporate energy analysis.
- Developing an entropy-based mathematical model to identify rework and rejection hotspots.
- Implementing the LESSVSM model at the product level, measuring energy from input to output.
Main Results:
- The LESSVSM model successfully identified energy use and waste across workstations.
- The entropy-based model pinpointed areas with maximum rejection or rework.
- Implementation on a four-workstation system demonstrated the model's applicability.
Conclusions:
- The proposed LESSVSM framework enables manufacturers to minimize energy and waste.
- This approach supports the goal of achieving sustainable manufacturing.
- Researchers and practitioners can utilize LESSVSM for systematic improvement.
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