Improving Industrial Product Lifecycle Management by Semantic Data Federations

Author(s):  
Steffen Kunz ◽  
Benjamin Fabian ◽  
Markus Aleksy ◽  
Matthias Wauer ◽  
Daniel Schuster

It is expected that the amount of product information available from the Internet of Things and Services will be so tremendous that the main challenge will be to provide the right information, at the right time, in the right place, and to the right people. This objective is addressed by Aletheia – a distributed Information System that enables the federation and semantic integration of very heterogeneous information sources. This chapter discusses the goals, functionality, and architecture of Aletheia, guided by a real-world case study in the industrial service sector and conducted in cooperation with ABB, a major company providing power and automation technologies, products, and services for utility and industry customers. Further, the authors discuss several issues from the Aletheia project experience they believe to be valuable for researchers and implementers of semantic data federation systems as well as practitioners in the industrial service sector.

Author(s):  
Markus Aleksy ◽  
Bernd Stieger ◽  
Thomas Janke

The ongoing evolution of industrial field service is mainly driven by demographical changes, increasing complexity of products, and tremendous amounts of product information from enterprise information systems as well as from the emerging Internet of Things. To cope with these challenges, a combined approach utilizing semantic and mobile technologies fosters the provision of the right information, at the right time, in the right place, and to the right people. This paper investigates the exploitation potential of semantic mobile applications to support industrial service processes. Based on identified application scenarios, the authors developed concepts for process improvement and, thus, derived requirements. The necessary semantic data federations are considered in the presented architecture, which enables an integrated approach for tailored information retrieval from heterogeneous information sources.


Author(s):  
Markus Aleksy ◽  
Bernd Stieger ◽  
Thomas Janke

The ongoing evolution of industrial field service is mainly driven by demographical changes, increasing complexity of products, and tremendous amounts of product information from enterprise information systems as well as from the emerging Internet of Things. To cope with these challenges, a combined approach utilizing semantic and mobile technologies fosters the provision of the right information, at the right time, in the right place, and to the right people. This paper investigates the exploitation potential of semantic mobile applications to support industrial service processes. Based on identified application scenarios, the authors developed concepts for process improvement and, thus, derived requirements. The necessary semantic data federations are considered in the presented architecture, which enables an integrated approach for tailored information retrieval from heterogeneous information sources.


Author(s):  
Jelena Janković ◽  

The first step of a positive change in the system of service-legal relations is a change of view on the role and importance of service users. By providing opportunity to the service user to be an active and important member of the service-legal relationship, a far-reaching and universal value of humanization of the service economy sector is achieved. In such circumstances, the moral authority of the service law is realized through its justice and through voluntary obedience to the law of the subjects of the service-legal relationship. Precisely, this moral dimension of the rule of law, in the service economy sector is realized by applying the principles of service suitability and the right to free choice. In this regard, the paper analyzes the moral dimension and culture of the rule of law in the service sector, based on the principle of service suitability and the right to free choice, which are presented in the paper as guardians of justice of the service-legal norm.


Author(s):  
Keh-Wen “Carin” Chuang ◽  
Kuan C. Chen

Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from its conception, through design and manufacture, to service and disposal. One of the toughest aspects of PLM implementations is choosing the appropriate software. In order to choose the right software that meets the business requirements, it is necessary to have a systematic view to serve as an evaluation guideline for advice from an independent third-party and that can guide decision makers through a structured process and understands the entire PLM market. This is an important aspect of the PLM assessment and planning process. This study built a systems model to fulfill the PLM software selection and evaluation needs.


2020 ◽  
Vol 245 ◽  
pp. 05020
Author(s):  
Vardan Gyurjyan ◽  
Sebastian Mancilla

The hardware landscape used in HEP and NP is changing from homogeneous multi-core systems towards heterogeneous systems with many different computing units, each with their own characteristics. To achieve maximum performance with data processing, the main challenge is to place the right computing on the right hardware. In this paper, we discuss CLAS12 charge particle tracking workflow orchestration that allows us to utilize both CPU and GPU to improve the performance. The tracking application algorithm was decomposed into micro-services that are deployed on CPU and GPU processing units, where the best features of both are intelligently combined to achieve maximum performance. In this heterogeneous environment, CLARA aims to match the requirements of each micro-service to the strength of a CPU or a GPU architecture. A predefined execution of a micro-service on a CPU or a GPU may not be the most optimal solution due to the streaming data-quantum size and the data-quantum transfer latency between CPU and GPU. So, the CLARA workflow orchestrator is designed to dynamically assign micro-service execution to a CPU or a GPU, based on the online benchmark results analyzed for a period of real-time data-processing.


2020 ◽  
Vol 20 (3) ◽  
pp. 1008
Author(s):  
Nina Fentiana ◽  
Daniel Ginting

The hospital as a business entity in the service sector has its own mission, which is to provide quality services with the achievement of patient satisfaction which is marked by reduced complaints from customers, increased visits so that it shows high company performance. SWOT analysis is a systematic identification of various factors to formulate a company strategy. This research is to find the right strategic opportunity or opportunity, where there is a large market share that allows hospitals to grow and develop. The focus of this research is a strategic plan in an effort to increase hospital income by analyzing a picture of hospital performance in the last 3 years from 2017 to 2019. The study was conducted using a qualitative approach in one of the hospitals in Langsa City. Based on the results of the SWOT diagram, the strategic plan that will be implemented to increase hospital income is to implement standardization of human resources (number of SOP educational task descriptions), cost efficiency, superior services, patient satisfaction surveys and implement efficiency of direct general financing and investment.


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