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Approaches to Digital Supply-Demand-Matching

Dembska, Marta and Kiesewetter, Christian and Städing, Bertram and Peters, Diana and Schindler, Sirko (2022) Approaches to Digital Supply-Demand-Matching. DLR-Interner Bericht. DLR-IB-DW-JE-2022-59.

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An important building block of a circular economy is the recycling of waste and end-of-life products. Here, the goal is to reintroduce resources back into production processes, thus (partly) replacing the need for extracting and refining them from natural sources. There is a plethora of materials ranging from almost pure to various alloys. Similarly on the side of recycling, many different approaches have been developed to recycle waste and reclaim contained materials. One major challenge is to determine optimal recycling processes given a certain type of waste. Optimality may be defined along different criteria including but not limited to economic viability, recovery rate of materials contained, and the energy balance of the recycling process itself. With the accumulated waste changing constantly and recycling processes evolving as well, there can not be a static matching between the two but only constant adaptation will yield the currently optimal result.

Item URL in elib:https://elib.dlr.de/186707/
Document Type:Monograph (DLR-Interner Bericht)
Title:Approaches to Digital Supply-Demand-Matching
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dembska, MartaUNSPECIFIEDhttps://orcid.org/0000-0002-8180-1525UNSPECIFIED
Peters, DianaUNSPECIFIEDhttps://orcid.org/0000-0002-5855-2989UNSPECIFIED
Schindler, SirkoUNSPECIFIEDhttps://orcid.org/0000-0002-0964-4457133781007
Date:June 2022
Refereed publication:No
Open Access:No
Keywords:supply-demand-matching, data integration, search, recommender
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Cottbus , Jena
Institutes and Institutions:Institute of Data Science > Data Management and Enrichment
Institute of Low-Carbon Industrial Processes > Simulation and Virtual Design
Deposited By: Schindler, Dr. Sirko
Deposited On:14 Jun 2022 09:00
Last Modified:26 Apr 2023 07:45

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