Progressing climate change and growing resource scarcity call for innovative and sustainable manufacturing concepts in serial timber construction. A central challenge is the seamless integration of design and material data into production to enhance material efficiency, reduce waste, and ensure environmentally responsible manufacturing. Integrated modelling techniques enable the incorporation of design and logistics information into production, supporting optimized material use, minimal offcuts, and the targeted selection of sustainable resources. Real-time data and intelligent information and communication technologies (ICT) further improve process control, lower energy consumption, and prevent rework. Achieving these efficiency and sustainability gains requires comprehensive digitalization across the value chain. This paper presents a systematic, model-based framework for assessing the digitalization level in serial timber manufacturing, identifying existing gaps, and providing targeted recommendations to support a data-driven, resource-efficient, and low-emission production process.

The European Green Deal and the respective regulations according to the Ecodesign for Sustainable Products Regulation (ESPR) demands the elaboration for an interoperable European Digital Product Passport System (DPP-System). In this paper, an evaluation of major interoperable frameworks will be provided and improvements proposed for the application to support the design of such a DPPSystem. The major outcome of this work is the extension of the Enterprise Interoperability Framework (EIF), as today standardized in ISO 11354, regarding artefacts of Internet of Things, Data Spaces and the combination of unified, integrated and federated approaches. In the outlook, demanded developments for better digitalization of regulation are in the focus.

Kurzfristige Lieferantenausfälle, Rohstoffknappheit und Transportunterbrechungen beeinflussen die Supply Chain. Dadurch wird Resilienz – die Fähigkeit, Störungen zu überstehen und gestärkt daraus hervorzugehen – relevanter. Entscheidend dabei ist die Identifikation und kontinuierliche Bewertung der Risikokritikalität, da sich diese durch Umfeldveränderungen ändern kann. In diesem Beitrag wird ein Ansatz beschrieben, bei dem basierend auf einem Prozessmodell das Monitoring automatisiert erfolgt.

In this contribution interoperability is taken into account from the perspective of resilient production. One of the key objectives of resilient production is to have always an up-to-date situation picture to monitor and reflect internal capabilities with external influences. Today's widely applied solution concepts for production management, like ERP and MES (specifically for production), have the ambition to make transparent exactly the same aspects. But in fact, they are insufficient to cover the individuality of major factors in crisis management. Typical systems for managing situation awareness come from defense, police, or management of critical infrastructure that are designed to manage unforeseen crisis including the handling of these individual factors. Further on, as detected in the recent crises, production management systems have to extend their capabilities from just monitoring and analysis to support the creation and management of measures along the entire resilience process. By increasing the capabilities of such an instrument, called "Corporate Interactive Situation Awareness Management System" (CISAMS), interoperability challenges come by side. These can jeopardize the benefit and usefulness of CISAMS that can lead to very critical situations in crisis management. In this paper, requirements and to be extended functions of CISAMS will be discussed and the related interoperability challenges will be identified. Afterward, a model-based solution is presented, and experiences from implementation will be provided.

Besides the transformation process challenge towards intelligent networked production systems, the growing demand for the topic sustainability, which is integrated with the production process, creates an additional complex challenge for manufacturing companies. The industrial transformation process with regard to the focus of the fourth industrial revolution is enlarged in terms of the inquiry of sustainability and especially the circular economy. In particular, external political, economic and environmental factors, but at the same time society changes towards a sustainable mindset of people shape the future development. This article focuses on the question of how to sensitize and qualify employees of manufacturing companies with a serious game to start the preparation of the upcoming challenges regarding sustainable transformation. Starting from an optimized holistic production system as a start setting, currently discussed topics will be added as scenarios to teach and build up abilities to be prepared and face upcoming challenges.

Rising business competition leads to complexity because of increased number of product variants and customer-specific processes. Model-based approaches seem to be suitable for handling this kind of flexibility in networked production environments. In this paper, current approaches to the configuration of heterogeneous systems based on standard models are reflected, and an integrated model-based configuration approach using formalized modules is proposed and its application demonstrated.

Abstract Fertigungsunternehmen müssen heutzutage wegen der starken Konkurrenz, der sich wandelnden Märkte und insbesondere auch der veränderten Umweltbedingungen die digitale Transformation gestalten. Dieser Beitrag konzentriert sich auf den Faktor Mensch in diesem Prozess. Beginnend bei der Sensibilisierung von Mitarbeiterinnen und Mitarbeitern angesichts neuer Technologien über den Auswahl- und Implementierungsprozess unter Berücksichtigung der Belange der Belegschaft bis hin zur Qualifizierung für die regelgerechte Anwendung der Technologien im Unternehmen existieren große Herausforderungen auf dem Weg zur intelligenten Fabrik.

To establish business networks a match between businesses demands and potential partner information is required. Publicly available information on the Internet about companies, products and services usually don’t follow a common standard. The concept of a digital twin could be used to organise the different information and, in the future, to harmonise the way company data is made available on the web. Every company usually has a web presence, related documents, web pages and a trace on the web, which can be used for an initial structure of the digital twin. Hereby, first services for the correlations between partner companies and requirements can be designed. But it requires the management of legal aspects e.g. the access of bots to the public available information. The paper provides initial ideas and feasibility checks and it propose an evolution of the current heterogeneous content and structure of the data into a well-structured digital twin including content related ontologies to describe the company characteristics.

Abstract Unternehmen müssen sich immer wieder auf Veränderungen in ihrem Umfeld einstellen. Dadurch können Disruptionen in einem Betrieb auftreten. So kam es beispielsweise auch während der COVID-19-Pandemie zu Lieferengpässen durch Lockdowns. Um solche Disruptionen frühzeitig zu erkennen und alternative Maßnahmen einzuleiten, wird in diesem Beitrag die Weiterentwicklung des am Fraunhofer IPK entwickelten, Interaktiven Lagebildes beschrieben. Hierbei kommt die Biologische Transformation zum Einsatz.

Abstract Das Hyperconnected Ecosystems für industrielle Netzwerke wird definiert als die Vernetzung aller relevanten Informationen und deren Erreichbarkeit jederzeit und von überall (hyperconnected). Barrieren zwischen Netzwerkpartnern bzgl. Datenbereitstellung und Zugriff werden reduziert und an aktuelle Anforderungen ausgerichtet. Die Evolution des Netzwerkes wird durch dessen dynamische Anpassbarkeit und flexible Einbindung von Diensten ermöglicht. Schlussendlich soll jede erforderliche Information an jedem Ort sofort in einer bearbeitbaren Form und möglichst ohne Aufwand verfügbar sein. Die Metapher des sozialen Netzwerks, in denen sich Partner finden und nach Bedarf Daten und Leistungen austauschen, dient als Basis für die Strukturen im Netzwerk. Dabei müssen industrielle Anforderungen nach Sicherheit, Souveränität und Transparenz integriert werden. Der Beitrag beschreibt die Vision eines Hyperconnected Ecosystem für industrielle Netzwerke und erste Ansätze zu dessen Umsetzung.

The digitalisation toolkit combines technological and methodological competencies tailored for small and medium-sized enterprises. In a series of workshops, participants learn the fundamentals of process optimisation and digitalisation through a learning game and prototypical digitalisation of own use cases. Proving the potential for improvement of optimisation measures with concrete measured values is particularly difficult in flexible production environments without it support. This paper presents a technical solution that provides the necessary data for a performance analysis with process mining methods without technical preconditions.

Kurzfassung Die erweiterte Integrierten Unternehmensmodellierung (eIUM) wird am Beispiel des modellbasierten Simultaneous Systems Engineering zur Gestaltung und Realisierung modularer Fabriksysteme...

The digital revolution results in changes in the production and value-added processes, which is a challenge especially for SMEs who cannot keep up with the rapid pace of technology development. This is mainly due to the lack of know-how and lack of strategies to lead one’s own company into the fourth industrial revolution as well as high investment costs in industry 4.0 solutions with unclear benefits. The increased amount of data in production systems together with the increasing networking of all systems offer new possibilities for quality assurance and quality management, though. The main objective of Industry 4.0 out of the box is to enable manufacturing SMEs to carry out the individual tracking of value creation with minimal planning and implementation costs. Industry 4.0 out of the box contains all necessary hardware and software for flexible tracking of production and testing parameters at part level and the collection of order-specific parameters without disrupting normal production.