Multi-Objective Optimization for Sustainable Industrial Systems Design
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 66
Special Issue Editor
Interests: optimization; process system engineering; chemical engineering; artificial intelligence & machine learning; data driven optimization
Special Issue Information
Dear Colleagues,
Multi-objective optimization for sustainable industrial system design is a fascinating and complex field. The aim is to balance and optimize multiple, often conflicting, objectives to create systems that are both effective and sustainable. In essence, multi-objective optimization for sustainable industrial systems design is about finding the best possible balance between competing goals to create systems that are not only economically viable but also environmentally friendly and socially responsible.
This Special Issue aims to attract topics which include the following:
- Manufacturing: Optimizing a production line to balance cost, speed, and environmental impact, etc.;
- Energy Systems: Designing a renewable energy system to maximize efficiency while minimizing costs and environmental footprint, etc.;
- Supply Chain: Creating a sustainable supply chain that minimizes cost and environmental impact while maximizing social benefits, etc.;
- Many other sustainable industrial systems applications.
When exploring multi-objective optimization for sustainable industrial systems design, several topics can be particularly relevant and useful. The following are some suitable topics for research, projects, or discussions in this field:
- Integration of Sustainability Metrics in Multi-Objective Optimization Models;
- Pareto Front Analysis in Sustainable Design;
- Adaptive Multi-Objective Optimization Algorithms for Dynamic Industrial Systems;
- Life Cycle Assessment (LCA) Integration with Multi-Objective Optimization;
- Circular Economy Models and Multi-Objective Optimization;
- Multi-Objective Optimization in Energy-Efficient Manufacturing Systems;
- Multi-Objective Optimization of Supply Chain Sustainability;
- Multi-Objective Optimization for Green Building Design;
- Economic vs. Environmental Trade-offs in Industrial System Design;
- Social Impact Considerations in Industrial System Multi-Objective Optimization;
- Resilience and Robustness in Sustainable System Design for MOO;
- Application of AI and Machine Learning in Multi-Objective Optimization in Sustainable Industrial Systems;
- Scenario Analysis and Multi-Objective Optimization in Sustainable Industrial Systems;
- Benchmarking and Standardization in Sustainable Multi-Objective Optimization Practices.
Dr. Ashish Gujrathi
Guest Editor
Manuscript Submission Information
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Keywords
- Multi-Objective Optimization (MOO)
- Pareto front
- sustainability metrics
- trade-off analysis
- Life Cycle Assessment (LCA)
- circular economy
- adaptive algorithms
- energy efficiency
- supply chain optimization
- robustness and resilience
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