Urban–industrial symbiosis recommendation platform for urban factories: Leveraging historical exchange patterns through feature analysis for real‐world applications

Since the beginning of industrialization, the economic viability of manufacturing companies relied on the exploitation of natural resources. From 2000 to 2019, the global consumption of raw materials surged by 65%, with 70% of these materials being non‐renewable. Addressing this unsustainable trajec...

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Vydané v:Journal of industrial ecology Ročník 29; číslo 3; s. 656 - 669
Hlavní autori: Grimmel, Philipp, Niemeyer, Jan Felix, Tan, Chuan Fu, Sun, Yajuan, Zhao, Yang, Schöling, Nils, Yeo, Zhiquan, Mennenga, Mark, Carlow, Vanessa Miriam, Herrmann, Christoph
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New Haven Wiley Subscription Services, Inc 01.06.2025
Predmet:
Case studies
Circular economy
Consumption
Data exchange
Dependency
Economic development
Economic growth
Economics
Exploitation
Factories
Hazardous wastes
Industrial development
industrial ecology
industrial symbiosis
Industrialization
Knowledge management
Matching
Multiple criterion
Natural resources
Proximity
Raw materials
recommendation system
Recommender systems
Resource efficiency
Resource exploitation
Suitability
Supply
Supply chains
Sustainability
Sustainable development
Symbiosis
Urban areas
urban environment
Waste management
Waste streams
Singapore
ISSN:1088-1980, 1530-9290
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Popis
Shrnutí:Since the beginning of industrialization, the economic viability of manufacturing companies relied on the exploitation of natural resources. From 2000 to 2019, the global consumption of raw materials surged by 65%, with 70% of these materials being non‐renewable. Addressing this unsustainable trajectory, the United Nations emphasizes “Responsible consumption and production” as a sustainable development goal (SDG 12), advocating for resource efficiency, circularity, and dematerialization of economic growth. In that context, industrial symbiosis (IS) emerges as a key strategy for sustainable industrial development. IS networks have demonstrated substantial environmental and economic benefits in supply chains. Urban areas, such as the Braunschweig region in Germany or Singapore, characterized by its diverse industries in close geographical proximity, present unique opportunities for IS. In parallel, there is a special demand to enhance the circular economy due to the high density of resource flows and the high dependency on external material supply and disposal. Against this background, this research introduces an IS recommendation system that relies on a knowledge database containing reported material exchange data from various industries. This system incorporates a knowledge‐based matching methodology, which identifies potential symbiotic relationships by evaluating the suitability of different waste stream patterns. Additionally, a hierarchical matching method is developed to suggest potential IS partners based on multicriteria decision support. The proposed method is implemented, tested, and validated through a case study in Braunschweig and Singapore. Finally, recommendations for action are derived, and the methodology is critically reviewed for its effectiveness and applicability.
Bibliografia:Editor Managing Review: Bin Chen
Philipp Grimmel and Jan Felix Niemeyer contributed equally to this study.
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ISSN:1088-1980
1530-9290
DOI:10.1111/jiec.70015