Modular Service-Oriented Cyber-Physical Systems for the European Tool Making Industry

2015 ◽  
Vol 752-753 ◽  
pp. 1349-1355 ◽  
Author(s):  
Günther Schuh ◽  
Stefan Rudolf ◽  
Martin Pitsch ◽  
Martin Sommer ◽  
Wilhelm Karmann

Manufacturing companies in high-wage countries are facing rising challenges in a global market. Increasing customer demands for a higher degree of individualization result in smaller lot sizes and higher variety of products. In addition, competitors from low-wage countries in Asia and Eastern Europe have significantly improved their technical capabilities, resulting in a more competitive environment. The tool making industry provides its customers with the means to achieve excellence in production due to its unique position in the value chain between product development and the serial production of parts. A tool making company’s ability to improve the efficiency of serial production and develop innovative product design is strongly dependent on its capability of integrating itself into the preceding and following customer processes. Over the last years, customer demands for global sourcing of tools have changed from low prices to the demands of extended tool operating life and high operational availability. European tool making companies have learned to take this development as a chance to differentiate themselves from global competitors and subsequently increase their range of services up- and downstream the value chain. As a result, new industrial product-service-systems (IPS²) for the European tool making industry need to be developed that address the demand of a higher degree of integration into the preceding and following customer processes. Within the German Government founded research project “Smart Tools”, an industrial product-service-system (IPS²) for the tool making industry has been developed based on a modular service-oriented cyber-physical system. Core element of the cyber-physical system is the smart tool – an injection molding tool equipped with state-of-the-art sensor technology to capture data on the condition of the tool during its operational use. Its intelligence derives from the condition based interpretation and data management of the collected process data which is also the basis for the design of customer specific services. Besides the successful integration of force and position sensors into the tool, experimental research has delivered important results on the application of solid borne sound sensors for online early detection of tool wear. An innovative concept for the distribution and interpretation of the process data incorporates the specific requirements of the customers. To cope with the demands of individual and small series production in the tool making industry, a modular sensor kit has been developed together with a diagnostic unit for data interpretation and storage of data in an electronic tool book. The developed modular service-oriented cyber-physical system delivers the means to extended tool operating life and improves the overall efficiency of serial production. Based on the results new business models can be developed for tool making companies to differentiate themselves from global competitors and overcome the challenges of production in high-wage countries.

2017 ◽  
Vol 871 ◽  
pp. 60-68
Author(s):  
Christian Sand ◽  
Dominik Manke ◽  
Jörg Franke

The advance of digitalization changes the requirements of processes in industrial production and assembly. For this reason, production and assembly must now be able to execute complex process steps. This is about quality and productivity expectations, as well as flexibility and reliability of production, lines and plants [1]. Today, data is generated by almost every system, machine and sensor, yet it is hardly used for process optimization. Manufacturing processes are usually organized as workshop production or chained production systems, in addition to standalone machines [2,3]. Most analytic projects focus on chained systems and serial production, unlike individual machines and specific workshop production. Depending on manufacturing IT, process data from serial production is stored in data bases, which are usually optimized for traceability. Standalone machines and machines within workshop production are scarcely connected to a common data base. The required process data is stored either on the module itself or inside a local data base [4]. The identification of dependencies between individual assembly processes, energy data and the quality of the finished product is necessary for an extended optimization. These optimizations can be process-specific, as well as environmental and resource related. Due to decentralized process data storages, an overall view of a dynamic order-oriented value chain is denied. Therefore, the potential of the machines is largely unused. Based on Data Mining, this advanced development can be counteracted by process monitoring and optimization. Therefore, this paper provides a solution for a virtual process data linkage of assembly stations. This enables the acquisition, processing, transformation and storage of unstructured raw data by special software and methods, which is also able to cope with chained production systems and standalone machines. For further analysis of interdependencies, a visualization is developed for advanced monitoring and optimization [5,6].


2009 ◽  
Vol 16-19 ◽  
pp. 660-664 ◽  
Author(s):  
Ying Bin Fu ◽  
Ping Yu Jiang

Manufacturing execution systems (MESs) are important information systems in workshop-level. Nowadays, industrial product service systems (iPSSs) are used to decrease the cost by providing professional services for the usages and management of machine tools and their attachments like cutters in manufacturing. This paper studies framework of a workshop-level service-oriented manufacturing execution systems (So-MES) which is supported by industrial product service systems. The framework of the So-MES is built through enabling four basic functions: planning functions, execution functions, service functions and resource functions. Finally, methods for the resource of e-service and product management service are discussed as key enabling techniques in this paper.


Author(s):  
Vo Que Son ◽  
Do Tan A

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.


Sign in / Sign up

Export Citation Format

Share Document