Improved interactive inference approach for constructing a complex multi-industrial symbiosis network

Area of Science:

• Industrial Ecology
• Network Science
• Circular Economy

Background:

• Industrial parks drive modernization and economic growth.
• Industrial symbiosis (IS) in parks improves economic, environmental, and resource efficiency through waste exchange.
• Effective input-output matching is crucial for successful IS.

Purpose of the Study:

• To present an improved approach for constructing complex multi-industrial symbiosis networks (MISN).
• To enhance the design process for IS networks within industrial parks.

Main Methods:

• Development of an improved constructing approach based on interactive inference.
• Simplification of interactive reasoning rules and introduction of material group reduction.
• Establishment of a multi-industrial stepwise constructing process.

Main Results:

• Application to Qaidam Circular Economy Experiment Area (QCEEA) resulted in a MISN with 79 nodes across four industries.
• The new approach demonstrated superiority over previous methods in designing complex networks.
• Reduced inference calculation and improved construction efficiency were observed.
• The method is applicable to non-resource-based industries.

Conclusions:

• The proposed approach offers a more efficient and effective way to design complex MISNs.
• This method can be applied to a wider range of industries, including non-resource-based ones.
• Optimizing industry sequencing can further reduce manual adjustments in MISN construction.