Supporting evolution of automated material flow systems as part of CPPS by using coupled meta models

Vogel‐Heuser, Birgit; Konersmann, Marco; Aicher, Thomas; Fischer, Juliane; Ocker, Felix; Goedicke, Michael

doi:10.1109/icphys.2018.8387678

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…In product design, for innovative design of complex products, Dassault [8] has established a 3D experience platform based on digital twin, which continuously improves the product design model in the information world and feeds back to the physical entity product improvement by using users' interactive feedback information. In terms of production and manufacturing, Siemens [9] constructs the production system model of integrated manufacturing process based on digital twin concept, and forms the virtual enterprise model and the enterprise image based on automation technology to support the enterprise in integrating and digitalizing the entire value chain, and carry out application verification in the production process of Siemens industrial equipment Nanobox PC. In fault prediction and health management, NASA [10] combines physical system with its equivalent virtual system, studies the method of fault prediction and elimination of complex systems based on digital twin, and applies it to the health management of flight systems such as aircraft and launch vehicle.…”

Section: Literature Reviewmentioning

confidence: 99%

A Referenced Cyber Physical System for Compressor Manufacturing

Jin¹,

Wang

Lu³

2020

MATEC Web Conf.

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Compressor is a typical high-end discrete product，with the shortening of product life cycle and the enhancement of the degree of product customization, the traditional compressor manufacturing system architecture cannot meet the requirements of comprehensive digital management of compressor from body scheme design to parts production line, logistics management, operation and maintenance monitoring and evaluation. This paper presents a compressor manufacturing system architecture based on digital twinning, and establishes an Internet platform for compressor industry oriented to remote coordination from three aspects of compressor design, production, operation and maintenance. The platform includes industrial Internet infrastructure layer, physical space entity model layer, virtual space multidimensional model layer, physical space and virtual space multidimensional model correlation and mapping layer, big data intelligent analysis decision-making layer, and digital twin application layer. Through the establishment of the compressor product design and simulation model of digital twin, compressor production process digital twin model, compressor fault diagnosis and remote operations digital twin model, implementation is based on the number of compressor collaboration in manufacturing industrial Internet platform twin system, leading the transformation and upgrading of intelligent manufacturing industry, compressor industry sustainable development ability and international competitiveness.

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Section: Literature Reviewmentioning

confidence: 99%

A Referenced Cyber Physical System for Compressor Manufacturing

Jin¹,

Wang

Lu³

2020

MATEC Web Conf.

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Transformability in Material Flow Systems: Towards an Improved Product Development Process

Wuennenberg

Vollmuth

et al. 2022

Lecture Notes in Networks and Systems

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A Classification of Data Structures for Process Analysis in Internal Logistics

Wuennenberg,

Haid,

Fottner

2023

Innovative Intelligent Industrial Production and Logistics

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Data Science plays a crucial role in driving new approaches to process optimization. With the increasing complexity of internal logistics systems, dataoriented methods have become essential in addressing the challenges that arise. However, standardized process analytics frameworks are lacking due to the heterogeneity of the underlying processes and the resulting data. This article aims to address this complexity by presenting a categorization of internal logistics data, consolidating the current state of the art. The categorization takes into account both real-world and scientifically proposed data architectures, providing a comprehensive overview. It includes a classification of comparative data fields based on their importance, the associated internal logistics processes, and potential usage scenarios. This classification is designed to cater to different use cases, such as diagnostics or prescriptive analytics. By presenting this categorization, the article enables practitioners to effectively leverage generated process data in a more goal-oriented manner. It empowers them to conduct suitable analyses tailored to their specific needs and objectives, based on the provided data architectures. In summary, this article offers valuable insights into internal logistics data categorization, providing a framework for practitioners to make informed decisions and optimize processes using data-driven approaches.

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Supporting evolution of automated material flow systems as part of CPPS by using coupled meta models

Cited by 6 publications

References 15 publications

A Referenced Cyber Physical System for Compressor Manufacturing

A Referenced Cyber Physical System for Compressor Manufacturing

Transformability in Material Flow Systems: Towards an Improved Product Development Process

A Classification of Data Structures for Process Analysis in Internal Logistics

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