306 research outputs found

    An Enterprise Coherence Quantification Framework for General Enterprise Architecting

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    Enterprise coherence pertains to the extent to which all relevant aspects of an enterprise are connected in such a way that these connections facilitate an enterprise in obtaining/meeting its desired results. The GEA (General Enterprise Architecting) method treats enterprise coherence as something that can be governed explicitly. GEA’s Enterprise Coherence Framework (ECF) is qualitative in nature. Being able to really measure enterprise coherence would greatly support the analysis of enterprise coherence. In this paper we setup a research approach for developing enterprise coherence metrics and perform a first step in working towards an Enterprise Coherence Quantification Framework (ECQF) as part of a methodology. A case from GEA training practice is used for validation of a first application of the ECQF

    Next-Generation Enterprise Modeling

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    In the Western world, digital has become the new normal, both in our daily lives and at our work. Additionally, Western countries have seen a transition from a goods-oriented economy to a services-oriented economy. Whereas, in the recent past, it was already the case that change was the only constant, these intertwined, and mutually amplifying, trends even further increase the pace of change. As a result, enterprises are confronted with a need to transform (continuously) accordingly. During any enterprise transformation, coordination among the key stakeholders and the projects that drive the transformations is essential. A shared understanding, agreement, and commitment are needed on (1) what the overall mission/vision of the enterprise is, (2) the current affairs of the enterprise and any ongoing changes, (3) the current affairs of the context of the enterprise, and (4) what (given the latter) the ideal future affairs of the enterprise are. Models, and ultimately enterprise (architecture) modeling languages and framework, are generally considered as an effective way to support such (informed) coordination. In the past, different frameworks and languages have been developed to this end, including the ArchiMate language. The latter has evolved to become a widely accepted industry standard. The objective of this chapter is threefold: (1) we intend to illustrate some of the key challenges which the digital transformation, and the two intertwined trends that drive it, puts on enterprise (architecture) modeling languages, (2) assess to what extent ArchiMate meets these challenges, and (3) draft the outline of a next-generation enterprise (architecture) modeling language (framework) that may be more suited to meet the challenges of these trends

    Coordinated Continuous Digital Transformation

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    We posit that AI-Enabled Enterprise is the next phase of digital transformations seen so far. We will start by defining more precisely what we mean by digital transformation and argue that it’s important to ensure these transformations are well-coordinated. We posit this coordination should be seen as a continuous process and take a model-enabled perspective on it. In doing so, we will argue for the need to identify (and manage) so-called enterprise design dialogues, where enterprise models are positioned as a key artefact in support of these enterprise design dialogues. Before concluding, we also review some of the challenges and opportunities towards future research

    Flexible Enterprise Optimization with Constraint Programming

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    Simulation–optimization is often used in enterprise decision-making processes, both operational and tactical. This paper shows how an intuitive mapping from descriptive problem to optimization model can be realized with Constraint Programming (CP). It shows how a CP model can be constructed given a simulation model and a set of business goals. The approach is to train a neural network (NN) on simulation model inputs and outputs, and embed the NN into the CP model together with a set of soft constraints that represent business goals. We study this novel simulation–optimization approach through a set of experiments, finding that it is flexible to changing multiple objectives simultaneously, allows an intuitive mapping from business goals expressed in natural language to a formal model suitable for state-of-the-art optimization solvers, and is realizable for diverse managerial problems.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Electrical Engineering, Mathematics and Computer ScienceAlgorithmic

    Modeling and Monitoring Business Constraints of Non-conformant Choreographed Business Processes

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    A choreographed process defines the agreement between organizations with respect to the protocol that should be respected when the involved organizations interact with each other through their business processes. The resulting BPMN Choreographed Process that models this protocol can formalize business constraints. Although there are solutions that can monitor whether these constraints are satisfied, situations of non-conformance that have an impact on monitoring can arise. This happens especially when the involved parties are not equipped with a BPMS that can force business processes to align with the protocol. The purpose of this paper is twofold. First of all, it proposes the use of an extension of timed commitments to express business constraints. This extension takes into account situations of non-conformance that are not acceptable by the protocol, but are compatible with business objectives. In addition, it proposes a monitoring application solution that can support the proposed extension

    ArchiMate Extension to Value Co-creation: The Smart Airport Case Study

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    The design and engineering of collaborative networks and business ecosystems is a discipline that requires an outstanding and upfront attention of the value cogenerated among the parties involved in the business exchanges of these networks. Understanding this value co-creation is undoubtedly paramount, first to adequately sustain the design and the development of the information system that brings about this value, second, to support the communication between the information system designers, and third to allow discovering new co-creation opportunities among the networks companies. In that context, we proposed an abstract language (meta-model) that structures, and provides an explanatory semantics to, the co-creation of value between information system designers, allowing a better definition of the collaboration and of each one of the value propositions. The design of this language is achieved in the frame of the design science theory and accordingly follows an iterative improvement approach based on real case studies from practitioners. This chapter introduces the second iteration of the language based on a real case in a smart airport network
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