EI2N 2023 Abstracts

Area 1 - 17th IFIP/IFAC International Workshop on Enterprise Integration, Interoperability And Networking

Full Papers

Paper Nr:	5
Title:	Industrial Communication with Semantic Integration Patterns
Authors:	Georg Güntner, Dietmar Glachs, Stefan Linecker and Felix Strohmeier
Abstract:	Digital twins have emerged as a key technological concept in the manufacturing industry. They form an information hub for industrial equipment and interact with dedicated applications in the operational manufacturing network. Digital twins consume and deliver information from machines to basically all connected applications. This results in complex integration requirements. The paper builds on previously designed semantic interoperability concepts for data-driven digital twins. It gives an overview of semantic data integration standards and provides insights into the current implementation of semantic integration patterns. Based on the challenges of the underlying research project i-Twin, semantic integration patterns provide standardized communication channels for operational management systems and connected assets. They build on the services of the semantic data integration middleware and use semantic connectors to bridge the proprietary data objects with an I4.0 compliant information model based on the asset administration shell (AAS). Semantic integration patterns will reduce the integration effort for equipment manufacturers and software providers, thereby accelerating automation and digitalization processes.

Paper Nr:	6
Title:	Strategic Roadmap for Digital Transformation Based on Measuring Industry 4.0 Maturity and Readiness
Authors:	Sandro Breval Santiago and Jose Reinaldo Silva
Abstract:	Digital transformation emerged as a strategic imperative for organizations in the era of Industry 4.0. As disruptive technologies reshape industries and business models, organizations must navigate this evolving landscape to remain competitive and relevant. Maturity models directed to Industry 4.0 offer a valuable framework to assess an organization's current state, identify gaps, and develop a strategic roadmap for successful digital transformation. Digital transformation is a complex and multifaceted journey that requires a well-defined roadmap to guide organizations through leveraging digital technologies and capabilities. Therefore, a practical and sound approach to developing a roadmap is the basis for achieving a successful digital transformation strategy. A structured approach, based on building blocks, can lead to a systematic plan to implement digital initiatives. In this article, we will explore creating a roadmap to digital transformation using building blocks.

Paper Nr:	7
Title:	MBSE- Based Construction Method of Unified Information Model for Production Equipment
Authors:	Jun Li, Keqin Dou, Yong Zhou, Jinsong Liu, Qing Li and Yiqiang Tang
Abstract:	Under the background of the integration and development of next-generation information technology and the manufacturing industry, production equip-ment has evolved into Cyber-Physical System (CPS), which seamlessly com-bine embedded computing, network communication, and high-performance control. In this context, the information model of production equipment has gradually become a pivotal aspect supporting the visualization of the physi-cal operation status of production equipment, optimizing decision-making in the digital realm, and enabling communication and interaction mapping in the cyber-physical space. Based on the model-based systems engineering (MBSE) principle, a unified information model for the whole manufacturing process of production equipment is proposed to solve the problems of di-verse information types, diverse expression forms and complex model het-erogeneity in the field of production equipment information modeling. From the perspectives of communication, knowledge, and geometry, the manage-ment activities of production equipment are analyzed, function modules are assigned, and information elements are defined. Consequently, a holistic in-formation model for production equipment is formulated to realize the opti-mization and control of heterogeneous production equipment.

Paper Nr:	8
Title:	Decentralized, Autonomous Setup and Access to Data of Independent Partners in a Hyper Connected Ecosystem
Authors:	Frank-Walter Jaekel, Eckart Eyser, Robert Schwengber-Walter, Robert Harms and Kai Grunert
Abstract:	Digitalization does not work without an information base. Especially in indus-try, the focus is usually on the IT functions without giving too much considera-tion to the flow of information and data. This can finally endanger IT imple-mentations. The approach discussed in this paper starts with the accessibility of information as a major asset for decision making. “How to allow the accessibil-ity of required information on demand everywhere and independent from a spe-cific platform or cloud infrastructure for every partner or company within a business network”. This statement was the starting point of a project about Hy-perconnected Ecosystem for Industrial Networks. The paper provides insides of the work done, the findings and results. The briefly described demonstrator il-lustrates the usage of the service prototypes and early application cases.

Paper Nr:	12
Title:	Human-Centric Digital Twins: Advancing Safety and Ergonomics in Human-Robot Collaboration
Authors:	Ben Gaffinet, Jana Al Haj Ali, Hervé Panetto and Yannick Naudet
Abstract:	Human-Robot Collaboration combines the reliability of robots with human adaptability. It is a prime candidate to respond to the trend of Mass Customization which requires frequent reconfiguration with variable lot sizes. But the close contact between humans and robots creates new safety risks and ergonomic factors like robot-induced stress need to be considered. Therefore we propose a human-centric Digital Twin framework, where information about the human is stored and processed in a dedicated Digital Twin and can be transmitted to the robot's Digital Twin for human-aware adaptations. We envision and briefly discuss three possible applications. Our framework has the potential to advance collaborative robotics but inherits technical challenges that come with Digital Twin based approaches and human modelling.

Paper Nr:	13
Title:	Cost-Benefit Evaluation of Digital Twin Implementation for Pharmaceutical Lyophilization Plant
Authors:	Ramona Rubini, Rocco Cassandro, Concetta Semeraro, Zhaojun Steven Li and Michele Dassisti
Abstract:	The pharmaceutical industry continually seeks advancements to improve manufacturing processes, ensuring product quality, regulatory compliance, and operational efficiency. Lyophilization, a critical process for preserving pharmaceuticals and biological materials, necessitates innovative solutions for optimization and risk mitigation. This research investigates the cost-benefit analysis of implementing a Digital Twin for a pharmaceutical lyophilization plant, focusing on system resilience. The research addresses disruption scenarios affecting the manufacturing process and evaluates the potential benefits and costs associated with Digital Twin integration. The methodology encompasses data collection, system resilience assessment, and cost-benefit analysis. The outcomes indicate the transforma-tive potential of Digital Twin technology in enhancing operational resilience and reducing disruption rates.