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Astract: REAlist is a prototypical web-based ERP system built on top of a generic REA core system. It is implemented as a multi-tenant aware software-as-a-service. We intend to give a live demo of REAlist and show how various REA concepts are used to model the required ERP artefacts.

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Astract: The German working committee for "Industrie 4.0" identified the horizontal integration throughout value networks and the vertical integration of networked manufacturing systems as key issues in the context of smart factories. For this purpose we aim for a universal model-driven industrial engineering framework spanning over production chains and value networks. Thereby, we build up on the Resource Event Agent (REA) business ontology (ISO/IEC 15944-4) to describe external activities requiring horizontal integration with business partners and internal activities serving for vertical integration within a manufacturing enterprise. We plan to apply the ISA-95 industry standard (ANSI/ISA-95; DIN EN 62264) to describe the vertical integration within an enterprise and its decentralized, networked production plants. As a first step, presented in this paper, we extend the REA ontology by useful concepts known from ISA-95 towards an integrating modeling framework.

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Astract: Enterprise resource planning (ERP) systems are often cumbersome to customize to a client´s needs. Model-driven approaches promise to simplify these attempts. In this work we present an ERP prototype based on the Resource-Event-Agent (REA) business ontology that follows a "model-at-runtime" approach: one may customize the ERP system during runtime by changing the underlying REA models. We are using Retail-H as the reference framework for building a retail information system (RIS). Our main contribution is the prototypical implementation of a domain agnostic REA engine that can be loaded at runtime with domain specific business models-these models can further be manipulated at runtime. On that basis we have exemplarily modeled main concepts of Retail-H in REA. Validation of the implemented components is realized by applying real business activities and requirements received from our partner, a business software solution provider.

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Astract: In the context of smart factories, a seamless information exchange between information systems on the same layer (horizontal integration) and between information system son different layers (vertical integration) is a key issue. For this purpose we aim for an integrated modeling framework spanning over production chains and value networks. In building this framework, we first concentrate on the layers realizing the business functions and the manufacturing control functions. Thereby, we build up on the Resource Event Agent (REA)business ontology (ISO/IEC 15944-4) to describe external activities requiring horizontal integration with business partners and internal activities serving as a hook for vertical integration within a manufacturing enterprise. Furthermore, we base our framework on the ISA-95 industry standard (ANSI/ISA-95, IEC62264) to describe the vertical integration within an enterprise. In this paper, we demonstrate how information given in REA models is transformed to corresponding ISA-95 skeletons. In other words, we show how a model describing the main business functions of an enterprise is used to derive essential concepts relevant to the manufacturing execution system.

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Astract: The German initiative Industry 4.0 will involve amongst other issues networking and integration of several different parties (e.g., manufacturing companies, suppliers, cus- tomers, sub-contractors) through value networks. This initiative underpins that this collaborative partnership will only be feasible if standardization and open standards are available. For this purpose a reference architecture is needed to provide a technical description of these standards. In this context interoperability plays a major role for the seamless exchange of data and information among partners in these value networks. Interop- erability involves the interaction of different systems and their users. Information modeling is a key concept for providing interoperability. In this paper, we present a standards framework that highlights how existing standards intertwine to establish value networks in an Industry 4.0 context.