Antoine Gaillard
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Institute
Wertschöpfung neu gedacht
(2025)
In dieser Folge spricht Antoine Gaillard, FIR an der RWTH Aachen, über die digitale Transformation der Kreislaufwirtschaft, die Integration zirkulärer Strategien in Produktionssysteme und die Rolle von Daten, IT-Systemen und Geschäftsmodellen auf dem Weg zu einer nachhaltigen Industrie. Wir gehen den zentralen Fragen nach:
Wie sieht ein datenbasiertes, integriertes Wertschöpfungssystem für zirkuläre Produktion aus?
Wie lassen sich Geschäftsmodelle wie Leasing oder Refurbishment wirtschaftlich realisieren?
Warum ist die Integration von IT-Systemen wie ERP und MES entscheidend für die zirkuläre Auftragsabwicklung?
Warum ist Mut zur Veränderung einer der wichtigsten Erfolgsfaktoren für nachhaltige Transformation?
Das Projekt ‚DiCES‘ – Digital Transformation of Circular Economy for Industrial Sustainability
(2024)
Antoine Gaillard, Projektmanager am FIR an der RWTH Aachen, stellt das Projekt 'DiCES' vor.
Ziel des Forschungsprojekts ‚DiCES‘ ist die Entwicklung eines datenbasierten integrierten Wertschöpfungssystems der multidimensionalen Kreislaufwirtschaft für produzierende Unternehmen, das echte Kreislaufwirtschaft vollständig zum Teil der operativen Auftragsabwicklung von Unternehmen macht.
Nachhaltigkeit gewinnt aktuell in allen Branchen an Bedeutung. Sie entwickelt sich vom Wettbewerbsfaktor zur verbindlichen Anforderung. Der digitale Produktpass gilt dabei als zentrales Instrument, um Transparenz entlang der Wertschöpfungskette zu schaffen und die Kreislaufwirtschaft zu unterstützen. Während der regulatorische Rahmen bereits definiert ist, fehlen in der Praxis konkrete Umsetzungsprozesse. Für Unternehmen resultiert daraus ein zunehmender Handlungsdruck. Hier bieten wir einen Leitfaden für ein DPP-Verwaltungskonzept im Kontext von Fertigungsstammdaten.
The transformation from linear to circular production is cornerstone for mastering sustainability. The fundamental aspect is that products from the utilization phase are fed back into the production phase, and a corresponding reverse supply chain exists for this purpose. Although various models for supply chain networks for value-retention circular economy strategies already exist in the scientific literature, there is a lack of decision rules for designing a suitable supply chain network. This paper aims to derive characteristics for selecting an appropriate supply chain network for value-retention circular economy strategies and to discuss rules of action based on case study research according to Yin.
Circular Economy (CE) has a low implementation rate so far, despite its many environmental and economic benefits. The concept of Upgrade Circular Economy (UCE) aims to address the existing challenges by aiming for a more continuous value enhancement of circular products and an industrialization of the associated processes. Digital Product Passports (DPP) are a key component of the concept as they act as a data hub for the circular value network. However, their prevalence in industrial practice is low. The aim of this work is to extend a concept for the integration of DPPs into the existing system landscape of manufacturing companies to advance the implementation rate. The core aspects of the work are the derivation of new use cases and data requirements that arise in an UCE, the formulation of evaluation options and implementation recommendations for the DPP, as well as examples for the concrete implementation of event technology. The aim is to provide manufacturing companies with practical options for the use of DPPs as a basis for the implementation of UCE.
The transition from linear to circular value-preserving models poses significant challenges, particularly in the context of Reverse Logistics. Variability in returned products in terms of time and quality and logistical complexities referring to decentralized and central factories hamper implementation. While digitalization offers the potential to optimize these processes, many companies lack a structured, scalable, and interoperable approach for integrating digital tools into Reverse Logistics. Moreover, the concept has largely been neglected and limited to managing returns from quality and warranty claims. Existing Enterprise Architecture Models frequently fall short in addressing challenges such as product condition and variability, independence from proprietary systems, and the integration of multiple Circular Economy (CE) strategies thereby constraining their practical applicability. The present paper aims to address these gaps by proposing a generic, vendor-independent, data-driven architecture model that enables companies to implement efficient, sustainable Reverse Logistics in alignment with CE goals. This model fulfills the pressing need for practical frameworks that support interoperability, reuse of existing IT infrastructure, and comprehensive process transparency. Consequently, organizations will be empowered to implement smart Reverse Logistics and to meet regulatory demands, resource efficiency targets, and consumer expectations for sustainable products. Furthermore, the model should serve to meet national and supranational environmental protection targets.
