Hinkelmann, Knut
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Run-Time Planning of Case-based Business Processes
2016, Hinkelmann, Knut
Organizations act in highly competitive markets, which forces them to be flexible. Constantly changing business requirements require flexible business processes. Case Management Model and Notation (CMMN) supports modeling run-time flexibility of partially structured business process models, but does not fully specify the control flow. Objective: The goal is to develop a planning algorithm that supports the case worker in planning case-based business processes at run-time. Method: We identify the requirements of run-time planning of partly structured processes by analyzing the admission process for the master degree at FHNW. To plan the process instance, we develop a planning algorithm. Our planning algorithm is evaluated using concrete cases provided by FHNW in order to demonstrate real application. Results: The planning algorithm reflects the requirements for serializing tasks at run-time. Conclusion: Our planning algorithm allows to automatically deriving context-specific execution plans for CMMN models at run-time.
Supporting Business and IT Alignment by Modeling Business and IT Strategy and its Relations to Enterprise Architecture
2014-08, Hinkelmann, Knut
In this study, the literature on strategic alignment, strategy modeling and infrastructure architecture modeling has been analyzed and a prototype has been developed for modeling business strategy and IT strategy as well as the relationship between. This modeling technique allows improving the business and IT alignment based on the Strategic Alignment Model of Henderson and Venkatraman. The modeling language is an extension and adaptation of the Business Motivation Model of OMG. The elements, which constitute the overall strategy, can belong to a business view, an IT view or to both. Due to this feature, it is possible to visualize the IT view (IT strategy) or the business view (business strategy) of the generic strategy separately. A concrete example shows how a strategy may be developed.
Learning Business Rules for Adaptive Process Models
2012, Hinkelmann, Knut
This work presents a new approach to handling knowledge-intensive business processes in an adaptive, flexible and accurate way. We propose to support processes by executing a process skeleton, consisting of the most important recurring activities of the process, through a workflow engine. This skeleton should be kept simple. The corresponding workflow is complemented by two features: firstly, a task management tool through which workflow tasks are delivered and that give human executors flexibility and freedom to adapt tasks by adding subtasks and resources as required by the context. And secondly, a component that learns business rules from the log files of this task management and that will predict subtasks and resources on the basis of knowledge from previous executions. We present supervised and unsupervised approaches for rule learning and evaluate both on a real business process with 61 instances. Results are promising, showing that meaningful rules can be learned even from this comparatively small data set.
PROMOTE - Methodologie und Werkzeug für geschäftsprozessorientiertes Wissensmanagement
2002-05-14T00:00:00Z, Hinkelmann, Knut
Erfolgreiches Wissensmanagement setzt voraus, dass es in die tägliche Arbeit integriert ist, wie sie durch die Geschäftsprozesse eines Unternehmens vorgegeben wird. Wissensmanagement muss deshalb als integraler Bestandteil von Geschäftsprozessen und deren Gestaltung betrachtet werden. Wissen ist für ein Unternehmen relevant, wenn es die Geschäftsprozesse verbessert. In diesem Buch werden praxisrelevante Techniken und Vorgehensweisen beschrieben, mit deren Hilfe relevantes Wissen identifiziert, gesichert und gezielt zur Bearbeitung von Prozessaktivitäten bereitgestellt werden kann.
Business Process as a Service (BPaaS): The Smart BPaaS Design Environment
2016, Hinkelmann, Knut
This paper introduces the project idea of Business Processes as a Services (BPaaS) that is worked out in the H2020 project CloudSocket. Concept models and semantics are used to align domain specific business processes with executable workflows that are deployed and in production in a multi-cloud environment. The Business Process Management System Paradigm (BPMS) is requesting the functional capabilities of the so-called BPaaS Environments (i) design, (ii) allocation, (iii) execution and (iv) evaluation, which technically compose the CloudSocket Broker platform. This paper introduces first findings of aligning customers’ business needs with BPaaS cloud offerings using a model-based approach.
Combining Bottom-Up and Top-Down Generation of Interactive Knowledge Maps for Enterprise Search
2014, Hinkelmann, Knut
Application and Evaluation of the Multi-dimensional Knowledge Framework Approach
2011, Hinkelmann, Knut
This paper discusses the application and evaluation of the multidimensional knowledge framework approach on a real life case study. In a first stage the framework is explained and the case study where the framework is assessed is described. At the end it is evaluated if the framework helps to identify strengths and weaknesses which can be exploited to improve knowledge maturing in an organisation.
Business Process Flexibility and Decision-aware Modeling - The Knowledge Work Designer
2016, Hinkelmann, Knut
This chapter describes the Knowledge Work Designer, a modelling method for knowledge work. It is based on two principles: (1) the separation of business logic and process logic and (2) the support of both structures and unstructured knowledge. Process logic can be represented in a structured way in BPMN and in a non-structured way with CMMN. For real processes there is no strict separation between structured processes and cases. Therefore the Knowledge Work Designer offers a deep integration of BPMN and CMMN. Business logic can be represented in a structured way using decision tables. Unstructured business logic can be represented in documents. The separation of business logic and process logic allows for simpler process model and easier maintenance.
Connecting Enterprise Architecture and Information Objects Using an Enterprise Ontology
2013-11, Hinkelmann, Knut
In this paper we show how semantic metadata – derived from the enterprise architecture description - can improve both the exploitation of information in the operative business and the continuous alignment of information systems with the business. ArchiMEO, a formal representation of the ArchiMate framework, was applied to model selected parts of a large Swiss company, including metadata of concrete information objects stored in various applications. The evaluation of our approach clearly gave evidence that linking an enterprise ontology with operational databases is beneficiary: it provides an integrated view and management of enterprise entities spread over various data stores, represented in different ways and levels of granularity. Furthermore, because of its inference capabilities, when used as metadata encoding scheme an enterprise ontology can provide context-sensitive access to relevant information.