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Requirements for Product-service Description at e-marketplaces in the Manufacturing Domain

Procedia CIRP 2016年 47卷 406-411页

作者： Wolfgang Bauer Jürgen Dorn Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

Industrial procurement is exposed to an increased service-oriented supplier market. However, industrial e-marketplaces for product-services that are accepted by buying experts are rare. Possible buyer benefits of e-markets such as access to a wider range of markets, accumulation of required information, and increase of market transparency cannot be utilized. Currently, product-services are at best traded within closed silos that offer mainly manual search and comparison capabilities through a web storefront. A lack of existing “generic” industry-sector-specific concepts for service description is a main problem that the potential of e-commerce is not utilized for product-services. This article analyzes the requirements for service representation at e-markets regarding the manufacturing domain. State-of-the-art concepts of business service description are considered at the beginning of this research. Because of the heterogeneity of product-services, a case study was conducted in order to identify relevant product-services in the manufacturing domain. In order to study a real case scenario, a “first-tier supplier” in the automotive industry was used in this research study. This company is specialized in systems engineering and systems serial assembly. Typical product-services of this company source are manufactured products needed for serial production, for example, casting, milling, turning, or injecting molding parts, alongside a wide range of services. Investigating the professional purchasing department was necessary to analyze the requirements in service description throughout the complete buying process, commencing with the conceptual product design stage until the serial product delivery.

关键词： product-service description product-service advertisements manufacturing services service capability description manufacturing service USDL service marketplace electronic marketplace

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Improving PSS Costing Based on Customer Integration

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Procedia CIRP 2016年 47卷 36-41页

作者： Wolfgang Seiringer Wolfgang Bauer Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

A company's economic survivability depends on the trust customers have into the company and its offered solutions. Consequently a company tries to act as a trustworthiness business partner. A difficult task, when customers cannot check the outcome and quality of an offered solution. Especially for Product Service systems (PSS), the service part represents such an intangible performance, which cannot be used and verified by customers before consumption. Consequently, customers must trust a company's promised performance quality before they can experience the service. Service production always involves the customer into the service provision process, as the value is co-created. That is why, the service provider's performance and thus its service production costs rely trusting a customer's input. As trust plays such an important role we integrate it into service costing. In our work we present and evaluate a risk-based costing approach for PSS. The benefit of our cost model is to include risk factors associated with the trustworthiness of customer input. Our contribution to service science is the computation of service costs by the extension of standard Time-Driven Activity-Based Costing (TDABC) including the expected loss due to customer input. In our work we demonstrate the successful inclusion of trust-based risk factors into service costing to improve service cost management in the context of PSS.

关键词： PSS cost model customer integration trust risk-based costing

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Model-Based Engineering and Virtual Commissioning of Cyber-Physical Manufacturing systems - Transportation System Case Study

Model-Based Engineering and Virtual Commissioning of Cyber-P...

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IEEE International Conference on Emerging Technologies and Factory Automation

作者： Petr Novák Petr Kadera Manuel Wimmer Czech Technical University in Prague Prague Czech Republic TU Wien Institute of Software Technology and Interactive Systems Vienna Austria Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague Czech Republic

Emerging manufacturing systems are becoming complex while their engineering and ramp-up phases have to be as short as possible in order to decrease the reaction time to new market demands as well as to minimize production line down-times causing financial losses. Since engineering knowledge is not shared satisfactorily, virtual commissioning of industrial plants is very complicated. This paper contributes to a better synthesis and analysis of manufacturing lines by integrating the simulation of manufacturing systems with the tool Siemens Plant Simulation and their engineering with Schmid P'X5 Configurator for Montratec. The proposed approach is based on the model-based techniques and it is demonstrated on a laboratory-scaled use-case showing its efficiency.

关键词： Virtual Commissioning Manufacturing systems Case Study

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Search-based model transformations

Search-based model transformations

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作者： Fleck, Martin Troya, Javier Wimmer, Manuel Business Informatics Group Institute of Software Technology and Interactive Systems WienTU Austria Department of Computer Languages and Systems University of Seville Seville Spain

Model transformations are an important cornerstone of model-driven engineering, a discipline which facilitates the abstraction of relevant information of a system as models. The success of the final system mainly depends on the optimization of these models through model transformations. Currently, the application of transformations is realized either by following the apply-as-long-as-possible strategy or by the provision of explicit rule orchestrations. This implies two main limitations. First, the optimization objectives are implicitly hidden in the transformation rules and their orchestration. Second, manually finding the best orchestration for a particular scenario is a major challenge due to the high number of possible combinations. To overcome these limitations, we present a novel framework that builds on the non-intrusive integration of optimization and model transformation technologies. In particular, we formulate the transformation orchestration task as an optimization problem, which allows for the efficient exploration of the transformation space and explication of the transformation objectives. Our generic framework provides several search algorithms and guides the user in providing a proper search configuration. We present different instantiations of our framework to demonstrate its feasibility, applicability, and benefits using several case studies. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

关键词： software engineering

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Diagnosis diagrams for passing signals on an automatic block signaling railway section

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IOP Conference Series: Materials Science and Engineering 2018年第1期294卷

作者： E Spunei I Piroi C P Chioncel F Piroi Eftimie Murgu University of Resita Electrical Engineering and Informatics Department Traian Vuia str. no. 1-4 320085 Resita Romania Vienna University of Technology Institute of Software Technology and Interactive Systems Viena Austria

This work presents a diagnosis method for railway traffic security installations. More specifically, the authors present a series of diagnosis charts for passing signals on a railway block equipped with an automatic block signaling installation. These charts are based on the exploitation electric schemes, and are subsequently used to develop a diagnosis software package. The thus developed software package contributes substantially to a reduction of failure detection and remedy for these types of installation faults. The use of the software package eliminates making wrong decisions in the fault detection process, decisions that may result in longer remedy times and, sometimes, to railway traffic events.

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Truck circuits diagnosis for railway lines equipped with an automatic block signalling system

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IOP Conference Series: Materials Science and Engineering 2018年第1期294卷

作者： E Spunei I Piroi C Muscai E Răduca F Piroi Eftimie Murgu University of Resita Electrical Engineering and Informatics Department Traian Vuia str. no. 1-4 320085 Resita Romania Vienna University of Technology Institute of Software Technology and Interactive Systems Viena Austria

This work presents a diagnosis method for detecting track circuits failures on a railway traffic line equipped with an Automatic Block Signalling installation. The diagnosis method uses the installation's electrical schemas, based on which a series of diagnosis charts have been created. Further, the diagnosis charts were used to develop a software package, CDCBla, which substantially contributes to reducing the diagnosis time and human error during failure remedies. The proposed method can also be used as a training package for the maintenance staff. Since the diagnosis method here does not need signal or measurement inputs, using it does not necessitate additional IT knowledge and can be deployed on a mobile computing device (tablet, smart phone).

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How to sort trustworthy health online information? Improvements of the automated detection of HONcode criteria

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Procedia Computer Science 2017年 121卷 940-949页

作者： Célia Boyer Cédric Frossard Arnaud Gaudinat Allan Hanbury Gilles Falquetd Health On The Net Foundation Geneva Switzerland BiTeM group HES-SO/HEG Geneva Information Science Department Carouge Switzerland Institute of Software Technology & Interactive Systems TU Wien Vienna Austria Faculty of economics and social sciences University of Geneva Geneva Switzerland

When searching on the Web, laypersons and professionals have difficulty in determining the quality or trustworthiness of health websites. No simple approach can differentiate among trustworthy and unreliable health websites in the results provided by major search engines such as Google, Yahoo or Bing. The European project Kconnect proposes to classify the reliability and readability levels of health-related Web sites and pages, tools according to the detection of HONcode criteria, the Health On the Net Foundation (HON) Code of Conduct using automated tools that examine how technical the health information contained in each document is. This article focuses on enhancement of automated detection of HONcode criteria in real-time settings. Applications of the approach include integration into the HONcode certification process, and embedding it as generic filtering tool into user-centered health domain search engines as well as into major general search engines such as a Web browser extension.

关键词： Quality criteria Trust Learning approach HONcode search engine

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Supervised entity tagger for indonesian labor strike tweets using oversampling technique and low resource features

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Telkomnika (Telecommunication Computing Electronics and Control) 2016年第4期14卷 1462-1471页

作者： Purwarianti, Ayu Madlberger, Lisa Ibrahim, Muhammad School of Electrical Engineering and Informatics Bandung Institute of Technology Jl. Ganesa No. 10 Bandung Indonesia Institute of Software Technology and Interactive Systems Vienna University of Technology Favoritenstrasse 9-11/188 ViennaA-1040 Austria Faculty of Computer Science University of Indonesia Kampus UI Depok16424 Indonesia

We propose an entity tagger for Indonesian tweets sent during labor strike events using supervised learning methods. The aim of the tagger is to extract the date, location and the person/organization involved in the strike. We use SMOTE (Synthetic Minority Oversampling Technique) as an oversampling technique and conducted several experiments using Twitter data to evaluate different settings with varying machine learning algorithms and training data sizes. In order to test the low resource features, we also conducted experiments for the system without employing the word list feature and the word normalization. Our results indicated that different treatment of different types of machine learning algorithms with low resource features can lead to a good accuracy score. Here, we tried Naïve Bayes, C4.5, Random Forest and SMO (Sequential Minimal Optimization) algorithms using Weka as the machine learning tools. For the Naïve Bayes, due to the data distribution based of the class probability, the best accuracy was achieved by removing data duplication. For C4.5 and Random Forest, SMOTE gave higher accuracy result compared to the original data and the data with data duplication removal. For SMO, there is no significant difference among various sizes of training data. © 2016 Universitas Ahmad Dahlan.

关键词： Supervised learning

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Integrating performance modeling in industrial automation through AutomationML and PMIF

Integrating performance modeling in industrial automation th...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Luca Berardinelli Emanuel Maetzler Tanja Mayerhofen Manuel Wimmer CDL Flex Institute of Software Technology & Interactive Systems Technische Universitat Wien Wien Wien AT Business Informatics Group Institute of Software Technology & Interactive Systems

ISBN: (纸本)9781509028719

Data exchange is a critical issue within the multi-disciplinary engineering process of cyber physical production systems (CPPS). AutomationML (AML) is an emerging standard in the this field to represent and exchange artifacts between heterogeneous engineering tools used in mechanical, electrical, and software engineering domains. However, the interoperability of different exchange standards may be needed in order to integrate even further tools in tool chains. For instance, the Performance Model Interchange Format (PMIF) is a common representation devised in the performance engineering domain for model-based system performance analysis and simulation based on Queueing Network Models (QNM). Of course, such aspects are also of particular interest when designing a CPPS. This paper investigates, with the help of a case study, the combination of AML and PMIF as an enabling step towards an early performance validation of CPPS. By this, we close the current gap between CPPS engineering and performance engineering standards.

关键词： Analytical models Data models Servers Cranes Semantics Standards Queueing analysis

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An efficient DCT template-based object detection method using phase correlation

An efficient DCT template-based object detection method usin...

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Asilomar Conference on Signals, systems & Computers

作者： Markus Hörhan Horst Eidenberger Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

In this work, we propose an efficient algorithm, which utilizes the combination of discrete cosine transform (DCT) and phase correlation (PC) for fast object detection. To test the algorithm's classification performance and computational complexity we developed a prototype and conducted several experiments with a public available car dataset. Furthermore, we compared our experimental results to a state-of-the-art object detection method. The proposed method uses the energy compaction property of DCT and requires less number of coefficients than fast Fourier transformation (FFT)-based techniques to compute PC. The computational complexity and memory requirements are significantly reduced using this method. According to our results, the proposed algorithm outperforms the baseline method with respect to training time and classification accuracy.

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