Adaptive model to increase resilience for emerging supply chains within the circular economy : "Zirkelmesser" an innovative case study
- Variations in quantity, quality and time availability of input materials pose a major risk to circular supply chains (CSC) and require new models for creating and evaluating adaptive and resilient CSC in the circular economy (CE). This can be achieved through consistent modelling of the overarching relationship between resource input- and output streams, without neglecting the associated risks.
The model proposed below consists of five components based on five resilience requirements for supply-chains (SCs). It provides a data-based recommended course of action for managers with a low entry-barrier. It consists of a CSC visualization, safety stock calculation, risk monitoring for each SC node, reporting logic, and a measurement catalogue.Variations in quantity, quality and time availability of input materials pose a major risk to circular supply chains (CSC) and require new models for creating and evaluating adaptive and resilient CSC in the circular economy (CE). This can be achieved through consistent modelling of the overarching relationship between resource input- and output streams, without neglecting the associated risks.
The model proposed below consists of five components based on five resilience requirements for supply-chains (SCs). It provides a data-based recommended course of action for managers with a low entry-barrier. It consists of a CSC visualization, safety stock calculation, risk monitoring for each SC node, reporting logic, and a measurement catalogue. The inspiration for this model came from an innovative case study ("Zirkelmesser") in the metal processing industry, where secondary products and materials are used to produce new products. Here, the problem of maintaining the resource supply arose and led to resilience issues. The mentioned case study serves as an application example for the model application and contributes to making emerging circular supply chains predictable and more controllable, thus increasing their resilience.…
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| Document Type: | Conference Object |
|---|---|
| Author: | Jeff Mangers, Franz Wieck, Jana Nicolas, Peter Plapper, Manuel Löwer |
| URN (citable link): | https://nbn-resolving.org/urn:nbn:de:bsz:wup4-opus-79886 |
| DOI (citable link): | https://doi.org/10.1016/j.procir.2022.05.063 |
| Year of Publication: | 2022 |
| Language: | English |
| Source Title (English): | Procedia CIRP |
| Volume: | 107 |
| First Page: | 788 |
| Last Page: | 793 |
| Divisions: | Kreislaufwirtschaft |
| Dewey Decimal Classification: | 600 Technik, Medizin, angewandte Wissenschaften |
| Licence: |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
