turash/concept/25_research_literature_review.md
Damir Mukimov 4a2fda96cd
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# 25. Research Literature Review
## Overview
This document provides a comprehensive review of academic research, industry tools, case studies, and implementation guides related to industrial symbiosis, resource matching algorithms, and digital platforms. It serves as a knowledge base for the Turash platform development and validation.
*For the core concept and implementation approach, see [03_core_concept_resource-matching_engine.md](03_core_concept_resource-matching_engine.md)*
---
## Academic Research Papers
### Industrial Symbiosis Matching Algorithms
1. **Input-Output Matching Methodology**
- **Source**: Chalmers University of Technology (2024)
- **Title**: "Input-Output Matching for Industrial Symbiosis"
- **URL**: https://research.chalmers.se/publication/531515
- **Description**: Systematic approach to analyzing output streams (wastes/by-products) and matching them with material input requirements, emphasizing efficiency in industrial parks.
2. **Semantic Matching and Knowledge Graphs**
- **Source**: DigitalCirc Project (2021)
- **Title**: "D3.6 Industrial Symbiosis - Semantic Matching and Knowledge Graphs"
- **URL**: https://digicirc.eu/wp-content/uploads/2021/03/D3.6_Industrial-Symbiosis.pdf
- **Description**: Utilizes algorithms to identify resources with similar characteristics using knowledge graphs to uncover hidden connections and facilitate resource exchanges.
3. **Formal Industrial Symbiosis Opportunity Filtering (FISOF)**
- **Source**: University of Twente (2024)
- **Title**: "FISOF: A Formal Industrial Symbiosis Opportunity Filtering Method"
- **URL**: https://research.utwente.nl/en/publications/fisof-a-formal-industrial-symbiosis-opportunity-filtering-method
- **Description**: Formal approach to evaluate IS opportunities, considering operational aspects and providing decision support algorithms for ISR evaluation.
### Agent-Based Modeling and Optimization
4. **Spatial Agent-Based Models for Eco-Industrial Systems**
- **Source**: arXiv (2020)
- **Title**: "Spatial Agent-Based Models for Simulating and Optimizing Networked Eco-Industrial Systems"
- **URL**: https://arxiv.org/abs/2003.14133
- **Description**: Models symbiotic exchanges from macro perspective, introducing methods for modeling by-product flow between industrial actors with multi-objective optimization.
5. **Multi-Agent Coordination Frameworks**
- **Source**: arXiv (2020)
- **Title**: "Multiagent Frameworks for Coordinating Industrial Symbiosis"
- **URL**: https://arxiv.org/abs/2006.01784
- **Description**: Formal multiagent framework coordinating collaborative industrial practices, representing ISNs as cooperative games with game-theoretic formulation.
6. **Agent-Based Modeling Inspired by Innovation Diffusion Theory**
- **Source**: MDPI Sustainability (2017)
- **Title**: "Promoting the Opportunity Identification of Industrial Symbiosis: Agent-Based Modeling Inspired by Innovation Diffusion Theory"
- **URL**: https://www.mdpi.com/2071-1050/9/5/765
- **Description**: Simulates emergence and development of IS networks, considering knowledge, attitude, and implementation of IS synergies gradually adopted by firms.
### Matching Algorithms and Recommender Systems
7. **Hybrid Recommender Systems for Circular Economy**
- **Source**: MDPI Energies (2019)
- **Title**: "A Hybrid Recommender System to Improve Circular Economy in Industrial Symbiotic Networks"
- **URL**: https://www.mdpi.com/1996-1073/12/18/3546
- **Description**: Hybrid recommender system combining content-based and collaborative filtering approaches, analyzing resource properties and geographical distances.
8. **Gale-Shapley Algorithm for Resource Matching**
- **Source**: MDPI Sustainability (2024)
- **Title**: "Bilateral Matching Methods with Gale-Shapley Algorithm"
- **URL**: https://www.mdpi.com/2071-1050/15/2/1505
- **Description**: Adapted Gale-Shapley (deferred acceptance) algorithm for resource matching in supply chains, enabling structured matching process between suppliers and demanders.
9. **Bilateral Matching with Incomplete Data**
- **Source**: PMC/NIH (2024)
- **Title**: "Bilateral Matching Methods for Resource Exchange with Incomplete Data"
- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC11353705
- **Description**: Methods considering synergy effects and incomplete data, utilizing k-nearest neighbor imputation and satisfaction evaluation indices.
### Digital Platforms and Tools
10. **Digital Matchmaking Tools for Industrial Symbiosis**
- **Source**: Frontiers in Chemical Engineering (2024)
- **Title**: "Digital Tool for Identifying, Quantifying, and Optimizing Symbiotic Potential"
- **URL**: https://www.frontiersin.org/journals/chemical-engineering/articles/10.3389/fceng.2024.1363888/full
- **Description**: Computational algorithm that inventories available materials for recovery and matches them with material needs using agent-based modeling.
11. **Data Requirements for Effective Matching**
- **Source**: PMC/NIH Environmental Science and Pollution Research (2023)
- **Title**: "Essential Data Points for Successful Synergy Identification in Industrial Symbiosis Platforms"
- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC10445876
- **Description**: Systematic review outlining critical data points including general information, inflow-outflow data, economic data, sharing practices, and platform-related information.
12. **Requirements Engineering for Industrial Symbiosis Tools**
- **Source**: MDPI Administrative Sciences (2020)
- **Title**: "Requirements Engineering for Industrial Symbiosis Tools"
- **URL**: https://www.mdpi.com/2076-3387/10/1/10
- **Description**: Analysis toolbox, transformative knowledge, and simulation modeling for developing robust IS tools.
### Machine Learning and AI
13. **AI-Driven Predictive Analytics for Waste Stream Mapping**
- **Source**: Sustainability Directory (2024)
- **Title**: "AI-Driven Data Solution Unlocks Industrial Symbiosis Material Exchange Networks"
- **URL**: https://news.sustainability-directory.com/circularity/ai-driven-data-solution-unlocks-industrial-symbiosis-material-exchange-networks
- **Description**: AI models automatically map waste streams, predict potential synergies, and identify material exchange opportunities within local economies.
14. **Machine Learning-Assisted Material Substitution**
- **Source**: OUCI (2023)
- **Title**: "Machine Learning-Assisted Material Substitution Using Word Vectors"
- **URL**: https://ouci.dntb.gov.ua/en/works/9JpM0yN4
- **Description**: ML techniques using word vectors to estimate similarity for material substitutions, reducing manual effort in compiling unstructured information.
### Process Integration and Optimization
15. **Process Integration Tools for Energy Exchange**
- **Source**: PMC/NIH (2023)
- **Title**: "Process Integration Tools in Industrial Symbiosis Networks"
- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC10445876
- **Description**: Mathematical techniques (PI tools) for designing and optimizing IS networks, focusing on minimizing resource consumption and enhancing process efficiency.
16. **Multi-Objective Optimization with Genetic Algorithms**
- **Source**: MDPI (2019)
- **Title**: "Multi-Objective Optimization for Industrial Symbiosis Networks"
- **Description**: Genetic algorithms and metaheuristic approaches for solving complex optimization problems in industrial symbiosis settings.
### Resource Matching in Cloud Manufacturing
17. **Resource Matching in Cloud Manufacturing Environment**
- **Source**: MDPI Symmetry (2021)
- **Title**: "Matching of Manufacturing Resources in Cloud Manufacturing Environment"
- **URL**: https://www.mdpi.com/2073-8994/13/10/1970
- **Description**: Resource matching within cloud manufacturing environments, considering processing capabilities and availability for complex matching scenarios.
18. **Ontology-Based Resource Description Models**
- **Source**: MDPI Electronics (2022)
- **Title**: "Unified Resource Description Model Based on Ontology"
- **URL**: https://www.mdpi.com/2079-9292/11/8/1187
- **Description**: Hierarchical and modularized framework to describe design, manufacturing, and service resources uniformly, facilitating efficient resource matching.
## Industry Tools and Platforms
### SYNER Platform
- **Source**: SIMBIOSY
- **URL**: https://simbiosy.com/en/industrial-symbiosis
- **Description**: Tool for mapping material, energy, and waste flows within a territory, facilitating identification and quantification of resources for industrial symbiosis projects.
### Industrial Symbiosis Readiness Level (ISRL) Matrix
- **Source**: IEA Industry
- **URL**: https://iea-industry.org/industrial-symbiosis-readiness-level-a-practical-matrix-tool-for-guidance-and-assessment
- **Description**: Framework for assessing and guiding IS network development, evaluating technology integration, business models, organizational structures, legal issues, and environmental benefits.
### National Industrial Symbiosis Program (NISP)
- **Source**: International Synergies
- **URL**: https://international-synergies.com/what-we-do/industrial-symbiosis-facilitation
- **Description**: Facilitated networks connecting businesses to explore mutually beneficial transactions, reducing costs and environmental footprints through facilitated industrial symbiosis.
## Case Studies
### Real-World Implementations
1. **SymbioSyS (Spain)**
- **Savings**: €2.1M cumulative savings over 3 years
- **Participants**: 150 companies
- **Focus**: Multi-sector industrial symbiosis facilitation
- **Approach**: Academic/research platform with material flow analysis
- **Key Insight**: Proven concept validation, but limited commercial scalability
2. **Kalundborg (Denmark)**
- **Status**: World's first industrial symbiosis park
- **Established**: 1960s-1970s
- **Participants**: Multiple industries (power plant, refinery, pharmaceutical, fish farm)
- **Key Insight**: Emergent symbiosis through proximity and mutual benefit, evolved organically
- **Research**: Extensively studied as foundational case study for IS research
3. **DECORUM Platform (Italy)**
- **Savings**: €500k annual savings
- **Participants**: 50+ construction companies
- **Focus**: Construction and demolition waste management
- **Approach**: Unified tracking system with material certification
- **Key Insight**: Vertical focus enables deep domain expertise
4. **SWAN Platform (Balkans)**
- **Savings**: €1.8M annual value generated
- **Participants**: 200+ facilities
- **Focus**: Solid waste reuse network across Southeast Europe
- **Approach**: Multi-language platform with EWC waste classification
- **Key Insight**: Cross-border cooperation and regional scope
## Tutorials and Implementation Guides
### Graph-Based Matching
1. **Neo4j Graph Database Tutorials**
- **Resource**: Neo4j Developer Documentation
- **URL**: https://neo4j.com/docs/
- **Relevant Topics**:
- Graph traversal algorithms
- Cypher query optimization
- Relationship modeling
- Spatial queries with Neo4j
2. **Network Flow Algorithms**
- **Resource**: Competitive Programming Algorithms
- **Topics**: Max-flow min-cut, bipartite matching, Hungarian algorithm
- **Application**: Optimal resource allocation across network
### Optimization Methods
3. **MILP Optimization Tutorials**
- **Resource**: OR-Tools Documentation, Gurobi Tutorials
- **Topics**:
- Mixed Integer Linear Programming formulation
- Industrial symbiosis optimization models
- Multi-objective optimization
- Constraint programming
4. **Metaheuristic Algorithms**
- **Resource**: "Metaheuristic Algorithms in Industry 4.0" (Routledge, 2021)
- **URL**: https://www.routledge.com/Metaheuristic-Algorithms-in-Industry-40/Shah-Sekhar-Kulkarni-Siarry/p/book/9780367698409
- **Topics**: Genetic algorithms, particle swarm optimization, simulated annealing
### Semantic Matching and Knowledge Graphs
5. **Knowledge Graph Construction Tutorials**
- **Resource**: Stanford Knowledge Graph Course
- **Topics**:
- Ontology development
- RDF/OWL modeling
- Graph query languages
- Semantic matching algorithms
6. **Semantic Matching Techniques**
- **Resource**: "Semantic Matching: A Survey" (ACM Computing Surveys)
- **Topics**: Element-level matching, structure-level matching, semantic similarity
## Digital Matchmaking Platforms
### Research and Analysis
1. **Digital Matchmaking for Industrial Sustainability**
- **Source**: EE-IP (2024)
- **URL**: https://ee-ip.org/en/article/digital-matchmaking-for-industrial-sustainability-how-knowledge-platforms-enable-circular-economy-7900
- **Description**: Analysis of how knowledge platforms enable circular economy through digital matchmaking
2. **Collaboration Platform Enabling Industrial Symbiosis**
- **Source**: Warwick Research Archive (2020)
- **Title**: "Collaboration Platform Enabling Industrial Symbiosis"
- **URL**: https://wrap.warwick.ac.uk/id/eprint/139400/7/WRAP-collaboration-platform-enabling-industrial-symbiosis-Yeo-2020.pdf
- **Description**: NLP pipelines for extracting information from unstructured data, building knowledge base for waste valorization pathways
## Assessment Tools and Frameworks
1. **Implementation Potential Assessment**
- **Source**: MDPI Sustainability (2021)
- **Title**: "Assessment Tool for Industrial Symbiosis Implementation"
- **URL**: https://www.mdpi.com/2071-1050/13/3/1420
- **Description**: Methodological approach for assessing company's potential for IS implementation, evaluating economic, geographical, and environmental characteristics
2. **Ecological Network Perspectives**
- **Source**: PMC/NIH (2024)
- **Title**: "The Role of Trophic, Mutualistic, and Competitive Interactions in Industrial Symbiosis"
- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC11219435
- **Description**: Ecological network analysis providing insights into complex interactions within IS networks
## Online Allocation and Resource Matching
1. **Online Allocation of Reusable Resources**
- **Source**: arXiv (2020)
- **Title**: "Online Allocation of Reusable Resources"
- **URL**: https://arxiv.org/abs/2002.02430
- **Description**: Algorithms for online allocation with asymptotically optimal competitive ratios
2. **Resource Matching Techniques for Distributed Systems**
- **Source**: University of South Carolina
- **Title**: "Matching Techniques for Resource Discovery in Distributed Systems"
- **URL**: https://jmvidal.cse.sc.edu/library/castano04a.pdf
- **Description**: Resource discovery and matching techniques in distributed computing environments
## Additional Resources
### State-of-the-Art Reports
1. **State-of-the-Art Report on Industrial Symbiosis**
- **Source**: LIAISE Action (2024)
- **Title**: "D1.1 State-of-the-art report on Industrial Symbiosis topic and its different subareas"
- **URL**: https://www.liaise-action.eu/wp-content/uploads/2024/11/D1.1-State-of-the-art-report-on-Industrial-Symbiosis-topic-and-its-different-subareas_v1.pdf
- **Description**: Comprehensive review of industrial symbiosis topics, methodologies, and subareas
### Conceptual Frameworks
2. **Conceptual Partner Matching Frameworks**
- **Source**: PMC/NIH (2022)
- **Title**: "Developing a Conceptual Partner Matching Framework for Digital Green Innovation"
- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC9304958
- **Description**: Niche Field Model combined with Fuzzy VIKOR for structured partner selection
### Waste Exchange Identification
3. **Waste Exchange Identification and Optimization**
- **Source**: AIS Electronic Library (2021)
- **Title**: "Industrial Symbiosis Waste Exchange Identification and Optimization"
- **URL**: https://aisel.aisnet.org/hicss-54/da/analytics_for_green_is/7
- **Description**: Database framework, waste exchange identification algorithm, and optimization system for eco-industrial parks
---