Peter Stephan

Industrie 4.0 in der praktischen Anwendung

Die Gedankenwelt um das Thema Industrie 4.0 resultiert originar aus dem Zusammenspiel zweier Trends. Einerseits die herausragende Bedeutung der industriellen Produktion fur den Wirtschaftsstandort Deutschland (siehe auch Reinhart und Abele, 2011), andererseits die fortschreitende Miniaturisierung und Integration von Computerchips, die in Folge die Vision des „Ubiquitous Computing“ zur Realitat werden lasst (siehe Weiser, 1991). Das Internet der Dinge und Dienste schliest den Medienbruch zwischen dinglicher und virtueller Welt und ermoglicht das Anbieten von Mehrwertdiensten auf der Basis eines aktuellen und umfassenden Abbilds der Realitat.

Product-mediated communication through digital object memories in heterogeneous value chains

Industrial production and supply chains face an increased demand for mass-customization and tightening regulations for the traceability of goods, leading to higher requirements concerning flexibility, adaptability and transparency of processes. Technologies for the “Internet of Things” such as smart products and semantic representations pave their way into future factories and supply chains to fulfill these challenging market demands. In this paper a backend-independent approach for information exchange in open-loop processes based on so-called digital object memories (DOM) is presented. By storing order-related data via smart labels on the item, relevant life cycle information is attached to the product itself. This way, information handover via several stages of the value chain with potentially different stakeholders including manufacturer, distributor, retailer, and end customer has been realized. To summarize first best-practice experiences regarding memory structure and content, a prototype implementation based on a scenario of processing dietary supplements in an adaptive process is illustrated.

Applying Digital Product Memories in Industrial Production

Industrial production and supply chains face increased demands for mass customization and tightening regulations on the traceability of goods, leading to higher requirements concerning flexibility, adaptability, and transparency of processes. Technologies for the “Internet of Things” such as smart products and semantic representations pave the way for future factories and supply chains to fulfill these challenging market demands. In this chapter a backend-independent approach for information exchange in open-loop production processes based on Digital Product Memories (DPMs) is presented. By storing order-related data directly on the item, relevant lifecycle information is attached to the product itself. In this way, information handover between several stages of the value chain with focus on the manufacturing phase of a product has been realized. In order to report best practices regarding the application of DPM in the domain of industrial production, system prototype implementations focusing on the use case of producing and handling a smart drug case are illustrated.

DPM Mapper: A Concept to Bridge the Gap Between XML-Based Digital Product Memories and Their Binary Representation

In this chapter we introduce a concept that improves the use of Digital Product Memory (DPM) on industrial embedded control systems to control decentralized production processes. The core of this concept is an XML schema that supports the specification of machine-readable mappings between an XML-based and binary DPM representation. This supports the separate description of the DPM information used for production control and its binary memory representation, e.g., on RFID tags. A server that stores those XML mapping documents and processes the address queries from the embedded production control systems has been developed. To demonstrate the feasibility of the approach this mapping technology was implemented in a demonstration module which was presented at Hannover Messe 2010.

System architecture for using location information for process optimization within a factory of things

Following paradigms like Ubiquitous Computing or the Internet of Things, modern factories are developing to intelligent environments in which wireless technology, sensor networks and mobile information access close the gap between the physical and the digital world. This article assumes that in such a versatile Factory of Things location information will play an important role for the transparent and efficient design of mobile and adaptive processes. Based upon a maintenance use case in the SmartFactoryKL it will be examined how location information can contribute to the optimization of maintenance processes. As research questions regarding the development of an appropriate system architecture, the definition of a consistent data representation for location information as well as mechanisms for its semantic interpretation are focused. Finally, the desired architecture is evaluated regarding its benefits, limitations and role as an enabler for a lean information management suitable to apply in future intelligent factories.

Digital object memories in the internet of things workshop: (DOME-IoT 2010)

Everyday objects tagged with sensors and actuators that communicate and cooperate provide the foundation of the Internet of Things. Most applications in the Internet of Things deal with information related to such objects in the one or other way, whilst Digital Object Memories comprise hardware and software components, which together provide an open and universal platform that allows for the continuous capture and conceptual and/or physical association of digital information with physical objects. As such, they support information exchange and reuse across environments and applications, and pave the way for novel kinds of applications and services. The goal of this workshop is to unite these two perspectives on connected objects and object memory in a hybrid workshop format that combines traditional presentations and discussion with a practical experiment.

International workshop on networking and object memories for the internet of things (NOMe-IoT 2011)

INTRODUCTION Following the prognosis that predicts 50 to 100 billions of Internet-connected things by 2020, we are now at the cross section of a paradigm shift and observing the metamorphosis that everyday things are going through: from things that learned-to-do to things that are learning-to-think, and finally to things that will learn-to-perceive (sense and response). The Internet of Things (IoT, [2–4]) technology is at the heart of this metamorphosis, and is rapidly gaining global attention from academia, industries, and governments. Manifold definitions of IoT trace back to the ITU vision [1], and also available from European Commission. In general, the IoT concept allows bidirectional communications among device, network, and backend data centers. It covers a wide scope of technologies including wireless/wired sensing, networking,