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Application of Reference Architectures for Enterprise Integration
Published in Cornelius Leondes, Computer-Aided Design, Engineering, and Manufacturing, 2019
Enterprises face integration problems due to necessary internal adaptations to cope with severe competition in the global marketplace. To survive at the global market, efficient operation and innovative management of change are essential. Enterprises need to evolve and be reactive, so that change and adaptation should be a natural dynamic state rather than something occasionally forced onto the enterprise. Enterprise engineering is the discipline that identifies the need for change in enterprises and carries out that change expediently and professionally. Enterprise engineering intends to cater for continuous evolution and to achieve a certain level of enterprise integration. Enterprise integration propagates the integration of all enterprise resources to optimize business operations. That is, enterprise integration involves the collection, reduction, storage, and use of information, the coordination of product flows, the organization of machines, the integration of human actions, etc.
Smart Grid Technologies
Published in Stuart Borlase, Smart Grids, 2017
Within the utility enterprises, the majority of integration activity can be classified as either data or application integration, but data and application integration overlap. Bringing together data from two independently designed databases to create third database is an example of data integration. Creating a composite system by leveraging the functionality of two independently designed applications is an example of application integration. A common requirement is to ensure that two or more applications contain consistent data such that users interacting with these applications will see a consistent state of critical business entities (such as customers or products). While the end result of this activity is that the applications involved share the same perspective (i.e., application integration), achieving this state involves synchronizing the data between them (data integration). According to Gartner, enterprise integration is “Making two or more independently designed things (applications, systems or DBs) work together to achieve a business goal.” An example of such integration can be seen in Figure 3.183.
Agent-Based Enterprise Integration and Supply Chain Management
Published in Weiming Shen, Douglas H. Norrie, Jean-Paul A. Barthès, Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing, 2019
Weiming Shen, Douglas H. Norrie, Jean-Paul A. Barthes
Enterprise Integration means that each unit of the organization will not only have access to information relevant to its tasks but will understand how its actions will impact other parts of the organization, thereby enabling it to choose alternatives that optimize the organization’s goals.
Industry Commons: an ecosystem approach to horizontal enablers for sustainable cross-domain industrial innovation (a positioning paper)
Published in International Journal of Production Research, 2022
Michela Magas, Dimitris Kiritsis
The model for the ICE builds on the work of Enterprise Modelling and Enterprise Integration by adopting the ecosystem view across domains. Enterprise Modelling (EM) is ‘the process of producing models, i.e. abstract representations, that can be used by humans or machines to support understanding, analysis, (re)design, reasoning, control and even learning about various aspects of interest of an enterprise’ (Vernadat 2020). It covers the needs of software and information systems engineers, manufacturing and industrial engineers, business analysis and organisation experts by determining business drivers and guiding principles which can be used to elicit technological and organisational requirements. According to Vernadat, it is ‘an art, meaning an engineering discipline and not a scientific discipline’.8 Dietz frames Enterprise Modelling primarily within a social system of transactions emphasising human agency and advocating for an Enterprise Ontology to capture the essence of an enterprise network (Land and Dietz 2012; Dietz 2006). Enterprise integration is the process of ensuring the interaction between enterprise entities necessary to achieve domain objectives (EN/ISO I9439 2003; Bousdekis and Mentzas 20219). It relies on Enterprise Modelling in order to optimise connectivity, communication and operations between people, processes, systems and technologies. It enables successful operation, in a world of continuous and largely unpredictable change, of a single manufacturing company or an everchanging set of extended (or ‘virtual’) enterprises – by enabling quick and accurate decisions and adaptation of operations to respond to emerging threats and opportunities. (Brosey, Neal, and Marks 2001)The ICE model adopts an ecosystem view of Enterprise Modelling uniting well-informed decision-making, technological harmonisation and socio-environmental responsibility in a common, multi-enterprise, multi-actor and multi-domain ecosystem. Extending Enterprise Integration through shareable and reusable knowledge across industrial domains, supported by tracking of provenance and attribution, and conditional on a series of regulatory, social and environmental parameters, contributes to enterprise resilience and behavioural and cultural adaptation, which results in novel affordances, emerging behaviours and business opportunities. The ICE model builds on the assumption that sustainable cross-domain industrial innovation can be achieved when all aspects of Enterprise Integration are: (i) sufficiently transparent to allow all involved actors to be proactive in their decision-making workflows; (ii) technologically harmonised to allow interoperability between involved actors’ technological components; and (iii) effectively supported by responsible societal and environmental parameters embedded in the system.