34 research outputs found
Enable Flexibilisation in FAIRWork’s Democratic AI-based Decision Support System by Applying Conceptual Models Using ADOxx
Decision-making in complex production environments is challenging as the information and knowledge requirements must be constantly observed since the ecosystems they operate in are continuously changing. Artificial intelligence (AI) can tackle complexity in decision-making by making machines more intelligent. But reacting to changing or new problems and related decision processes to facilitate the understanding of the involved humans is an equally important problem. Therefore, decision support systems are required to assist complex decisions and enable flexibility to support the decision-makers. Within this scope, we will introduce the Democratic AI-based Decision Support System (DAI-DSS), which is designed and implemented within the EU-funded FAIRWork project, considering both human and machine actors during decision-making. The FAIRWork project proposes a model-based approach to both express high-level decision scenarios and formally describe the decision processes, which are then used as input for configuring the decision support system to meet concrete decision problems
A Model-Based Approach Towards the Conceptualization of Digital Twins: The Case of the EU-Project COGITO
In agile business ecosystems, digitalization is a key enabler for agility and flexibility. However, digital transformation is often challenging for instance due to unclear definitions and a lack of problem understanding. In this work this complexity is addressed with a model-based approach for conceptualizing digitalization and related meta modelling activities to enable the conceptual integration of diverse concepts. Existing modelling approaches – BPMN and ArchiMate – are leveraged with domain specific considerations that are relevant for the digitalization. The construction use case from the European project COGITO serves as a foundation for ideation and first requirements engineering. Physical experiments in the OMiLAB Innovation Environment are used as an experimental method towards identifying relevant digital twinning concepts, while modelling methods can be seen as an integration platform for physical and digital elements. Key digitalization aspects towards digital twinning are discussed and conceptualized in a meta model
A use case of service-based knowledge management for software development
Large, international cooperative efforts pose high expectations for knowledge management support. In this paper we present a use case of a knowledge management solution in an inter-national research project, which offers several novel features applicable in other cases as well. The primary goals are to make the implicit knowledge explicit, to organize knowledge objects according to multiple criteria of multiple user roles and to serve this knowledge to users in an interactive way adapting Web 2.0 principles. A Knowledge Management System called the BREIN Roadmap has been realised applying service-based knowledge management using PROMOTE® supporting developers and externals who want to make use of the know-how and software components of the project
Digitization Principles for Application Scenarios towards Digital Twins of Organizations
In today's agile business ecosystems, digital twins (DTs) and especially digital twins of organizations (DTOs) allow for adaption through dynamically evolving models depicting organizational aspects such as production processes, data flows, human actors and interactions. A hybrid modelling approach is utilized, as the establishment of such DTOs either considered on their own or as part of a DT ecosystem is not trivial. Meta modelling and meta model merging patterns are applied to integrate heterogeneous perspectives and domain models. Two main research questions with respect to digitization towards digital twinning are discussed: First, which digitization principles/patterns are appropriate for DTOs? Patterns ranging from 'counting' to 'estimation' are introduced to fill digital models serving as a foundation for DTs with data. As a starting point, potential digitization principles for relevant characteristics of BPMN ­ 'Modelling Method for Business Processes' and KPI ­ 'Modelling Method for Key Performance Indicators' models are considered. Second, which principle/pattern is appropriate for which organizational structure? In order to ease the selection of suitable patterns for specific application scenarios, those will be associated with organizational structures like but not limited to construction processes, assembly processes or production processes each of them with domain-specific characteristics. A prototype consisting of three phases ­ use case requirements collection, model design and digitization assistance ­ builds upon (a) physical experimentations in the OMiLAB Innovation Corner using physical assets such as edge devices or sensors, (b) domain specific services considering software related aspects such as timeseries databases or simulation algorithms, and (c) modelling methods enabling the integration of physical and digital components. The paint production pilot from the European Change2Twin project serves as an application scenario evaluation use case. A notion of what the use case company intends to achieve by digital twinning and what is possible by introducing digital services is touched. The outlook presents how artificial intelligence may be introduced for the prototype to leverage the paint production use case and further application scenarios
A new paradigm for the continuous alignment of business and IT : combining enterprise architecture modelling and enterprise ontology
The paper deals with Next Generation Enterprise Information Systems in the context of Enterprise
Engineering. The continuous alignment of business and IT in a rapidly changing environment is a grand
challenge for today’s enterprises. The ability to react timeously to continuous and unexpected change is
called agility and is an essential quality of the modern enterprise. Being agile has consequences for the
engineering of enterprises and enterprise information systems. In this paper a new paradigm for next
generation enterprise information systems is proposed, which shifts the development approach of
model-driven engineering to continuous alignment of business and IT for the agile enterprise. It is based
on a metamodelling approach, which supports both human-interpretable graphical enterprise
architecture and machine-interpretable enterprise ontologies. Furthermore, next generation enterprise
information systems are described, which embed modelling tools and algorithms for model analysis.http://www.elsevier.com/locate/compind2017-06-30hb201
Project best practices, support tools and integration plan
This deliverable introduces recommendations and guidelines on how Learn PAd partners collaborate, develop, integrate and test their software in an efficient, flexible and reliable way. It targets the exchange of best practices in terms of software development and integration in the context of such a heterogeneous platform like Learn PAd and taking into account the different expertise of the partners
Business Oriented Learn PAd Whitepaper
This paper introduces process oriented learning in form of five scenarios: (a) individual training, (b) organizational evolution, (c) business process support and reflection, (d) process optimization and improvement, (e) citizens transparency. Process oriented learning is introduced whereas (1) the business process defines the curriculum, (2) the knowledge product defines the required knowledge and (3) the knowledge sources identify the available knowledge. The end users are using the knowledge by learning, whereas the responsible decision makers and experts are managing the knowledge and the learning by appropriate learning goals and dashboards. The technological infrastructure using existing legacy applications that are integrated via a Web-based collaboration platform for learning purpose is introduced and some guidelines for the change towards process-oriented learning are highlighted
Process Oriented Knowledge Management: A Service Based Approach
This paper introduces a new viewpoint in knowledge management by introducing KM-Services as a basic concept for Knowledge Management. This text discusses the vision of service oriented knowledge management (KM) as a realisation approach of process oriented knowledge management. In the following process oriented knowledge management as it was defined in the EU-project PROMOTE (IST-1999-11658) is presented and the KM-Service approach to realise process oriented knowledge management is explained. The last part is concerned with an implementation scenario that uses Web-technology to realise a service framework for a KM-system