# 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)*

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## 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

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