scholarly journals New Requirement Analysis Approach for Cyber-Physical Systems in an Intralogistics Use Case

Author(s):  
Günther Schuh ◽  
Anne Bernardy ◽  
Violett Zeller ◽  
Volker Stich
Logistics ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 23
Author(s):  
Cyril Alias ◽  
Frank Alarcón Olalla ◽  
Hauke Iwersen ◽  
Julius Ollesch ◽  
Bernd Noche

In the course of the ongoing era of digitization, cyber-physical systems and complex event processing belong to the most discussed technologies nowadays. The huge challenge that digitization is forming to the transportation and logistics sector is largely accepted by the responsible organizations. Despite initial steps being taken towards digitized value-creation, many professionals wonder about how to realize the ideas and stumble with the precise steps to be taken. With the vision of smart logistics in mind and cost-efficient technologies available, they require a systematic methodology to exploit the potentials accompanying digitization. With the help of an effective and targeted workshop procedure, potentially appropriate application areas with promising benefit potentials can be identified effectively. Such a workshop procedure needs to be a stepwise approach in order to carefully consider all the relevant aspects and to allow for organizational acceptance to grow. In three real-world use case examples from different areas of the transportation and logistics industry, promising applications of cyber-physical systems and complex event processing are identified and pertaining event patterns of critical situations developed in order to make realization easier at a later stage. Each use case example exhibits a frequently occurring problem that can be effectively addressed by using the above-mentioned technology.


Author(s):  
Georgios Kalogeras ◽  
Christos Anagnostopoulos ◽  
Christos Alexakos ◽  
Athanasios Kalogeras ◽  
Georgios Mylonas

Smart Cities ◽  
2017 ◽  
pp. 605-639 ◽  
Author(s):  
Jupiter Bakakeu ◽  
Franziska Schäfer ◽  
Jochen Bauer ◽  
Markus Michl ◽  
Jörg Franke

Author(s):  
Tiago Amorim ◽  
Denise Ratasich ◽  
Georg Macher ◽  
Alejandra Ruiz ◽  
Daniel Schneider ◽  
...  

Cyber-Physical Systems (CPS) provide their functionality by the interaction of various subsystems. CPS usually operate in uncertain environments and are often safety-critical. The constituent systems are developed by different stakeholders, who – in most cases – cannot fully know the composing parts at development time. Furthermore, a CPS may reconfigure itself during runtime, for instance in order to adapt to current needs or to handle failures. The information needed for safety assurance is only available at composition or reconfiguration time. To tackle this assurance issue, the authors propose a set of contracts to describe components' safety attributes. The contracts are used to verify the safety robustness of the parts and build a safety case at runtime. The approach is applied to a use case in the automotive domain to illustrate the concepts. In particular, the authors demonstrate safety assurance at upgrade and reconfiguration on the example of ontology-based runtime reconfiguration (ORR). ORR substitutes a failed service by exploiting the implicit redundancy of a system.


2016 ◽  
Vol 12 (1) ◽  
pp. 69 ◽  
Author(s):  
Junfeng Wang ◽  
Suihuai Yu ◽  
Ning Wang

Supported by ubiquitous, pervasive and embedded computing, Cyber Physical Systems (CPS) support actors and groups by services anywhere and anytime. How users interact with CPS and the provided service is the key to success. To keep a holistic view of human-CPS interaction, we propose narratives, pattern-based diagrammatic conceptual models, and formalized conceptual models which are used for step-wise derivation of design models for distributed service infrastructures. Reusable design patterns for diagrammatic model are constructed for illustrating the human-CPS interaction processes. Finally, a use case is used to illustrate the implementation of the proposed method.


Author(s):  
Erkki Jantunen ◽  
Unai Gorostegui ◽  
Urko Zurutuza ◽  
Michele Albano ◽  
Luis Lino Ferreira ◽  
...  

This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.


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