EI2N 2021 Abstracts

Area 1 - Enterprise Integration, Interoperability and Networking
Full Papers

Area 1 - Enterprise Integration, Interoperability and Networking

Full Papers
Paper Nr: 1
Title:

Assessing Impacts of Vine-Copula Dependencies: Case Study of a Digital Platform for Overhead Cranes
Authors:

Janusz Szpytko and Yorlandys Salgado Duarte
Abstract: Usually, components in a system degrade simultaneously and, for processes such as maintenance, predictions of common failures due to degradation are needed to achieve accurate assessments for decision making. Vine copula approach used in this paper is one way of approaching dependency modelling, offering in addition, thanks to its features, flexibility when lack of data is an issue. Knowing that a multivariate vine copula approach does not have a regular structure, in this paper, we propose an algorithm to simulate correlated random numbers of a multivariate vine copula combining bivariate copulas, and the subject of study is the evaluation of the impact of the vine copula dependency structure in a risk-oriented Monte Carlo simulation model implemented in an online digital platform to support the maintenance strategies of a set of overhead cranes.
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Paper Nr: 2
Title:

A Novel Approach and a Language for Facilitating Collaborative Production Processes in Virtual Organizations Based on DLT Networks
Authors:

Nikola Todorović, Marko Vještica, Nenad Todorović, Vladimir Dimitrieski and Ivan Luković
Abstract: Due to strong competition and rapidly shifting market conditions, it is becoming harder for Small and Medium- sized Enterprises (SMEs) to achieve business success. To deal with rising challenges, SMEs form Virtual Organizations (VOs) and seize business opportunities jointly. In this paper, we present an outline of a novel methodological approach that promotes trustworthy collaborative production execution within a non-hierarchical VO. Furthermore, we propose using Distributed Ledger Technology (DLT) platforms and smart contracts to facilitate VO integration. The approach is based on the MultiProLan Domain-Specific Modeling Language (DSML) extended with concepts required to allow process designers to (i) model collaborative production processes while preserving the confidentiality of private enterprise data and (ii) configure what data should be shared between participants during the collaborative production execution. Designed process models are used to automatically generate smart contracts by following the Model-Driven (MD) principles. Finally, generated smart contracts are stored in a DLT network and used to distribute production data between VO participants and monitor production execution in near real-time. The application of our methodological approach is demonstrated by showcasing the use of the Collaborative Extension of MultiProLan (CE-MultiProLan) modeling language and its concepts for modeling collaborative production processes.
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Paper Nr: 3
Title:

Service Modelling Language Applied for Hyper Connected Ecosystem
Authors:

Frank-Walter Jaekel, Martin Zelm and David Chen
Abstract: The paper elaborates the application of service modelling language for hyper-connected ecosystems. A specific target is to demonstrate the use of ISO 19440 standard together with a set of specialized service modelling constructs developed in the scope of CEN TC310/WG1. It presents a conceptual use case to model a ‘Matching Service’ and the service system required to provide the Matching Service in a service ecosystem. The purpose of this study is to test and demonstrate the use of a service modelling language related to ISO19440:2020 to describe in a formal and systematic way a service and its needed service system at business level for communication and validation. The paper first presents the motivation of the study and recalls related works. The service modelling language and the background of this work are discussed. The Matching service use case will be presented in detail and the concluding summary as well as some outlooks are given at the end of the paper.
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Paper Nr: 4
Title:

Mapping and Integration of Architecture and Modelling Frameworks
Authors:

Qing Li, Bohang Liang and Zhixiong Fang
Abstract: Architecture, methodology and system modelling are systems engineering tools to understand, design, develop, implement and integrate complex systems, software and enterprises. In order to solve the problem of complex system integration, Zachman Framework, CIM-OSA, GERAM, FEAF, DoDAF, TOGAF and other architectures have been developed. Model has become the main means of system analysis and design, and gave birth to model-based systems engineering (MBSE). There are several methodologies of MBSE, such as Harmony, Magic Grid and so forth. Therefore, it is necessary to develop a general architecture and modelling framework to support models and systems, software, enterprise integration based on different architecture and methodologies. This paper presents a General Architecture Framework and a relative General Modelling Framework (GMF). GAF provides tools and methodology of model-based systems engineering (MBSE) to systems design and development. GMF involves a set of models and methods to describes different aspects of a system. The paper also discusses the mapping and integration relationship between GAF, GMF with mainstream architecture and modelling frameworks.
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Paper Nr: 5
Title:

Enterprise Integration and Interoperability Improving Business Analytics
Authors:

Georg Weichhart
Abstract: In applied research and industrial business analytics (BA) projects data preparation requires around 80% of the total effort. Preparation tasks include establishing technical, semantic interoperability of data and processes to generate value. Enterprise Integration and Interoperability (EI2) approaches address these challenges, but these approaches are hardly taken into account in business analytics. In this position paper, we analyse approaches for their contribution to improving business analytics by supporting the interoperability of data, services, processes and business in general. For more details, we focus on the application domain of smart grids. Existing and missing tool and methodological support as a basis for data-access required for efficient and effective descriptive, predictive and prescriptive business analytics.
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