Experimental Evaluation of a Process Benchmarking Tool in a Green Business Process Management Context

Using a combination of metamodels, ontologies, green performance indicators and metrics, we apply a novel approach in Semantic Business Process Benchmarking to the area of Green Business Process Management (Green BPM). Up to now, process benchmarking has mainly been a manual process; the approach described and empirically evaluated in this paper partially automates the time-consuming and costly process analyses while introducing more flexibility regarding varying terminology, level of abstraction and modeling notation. Also, overviews of literature relevant to the field of Green Semantic BPM and commonly applied metrics in a Green BPM context are given

Semantic Model Alignment for Business Process Integration

Business process models describe an enterprise’s way of conducting business and in this form the basis for shaping the organization and engineering the appropriate supporting or even enabling IT. Thereby, a major task in working with models is their analysis and comparison for the purpose of aligning them. As models can differ semantically not only concerning the modeling languages used, but even more so in the way in which the natural language for labeling the model elements has been applied, the correct identification of the intended meaning of a legacy model is a non-trivial task that thus far has only been solved by humans. In particular at the time of reorganizations, the set-up of B2B-collaborations or mergers and acquisitions the semantic analysis of models of different origin that need to be consolidated is a manual effort that is not only tedious and error-prone but also time consuming and costly and often even repetitive. For facilitating automation of this task by means of IT, in this thesis the new method of Semantic Model Alignment is presented. Its application enables to extract and formalize the semantics of models for relating them based on the modeling language used and determining similarities based on the natural language used in model element labels. The resulting alignment supports model-based semantic business process integration. The research conducted is based on a design-science oriented approach and the method developed has been created together with all its enabling artifacts. These results have been published as the research progressed and are presented here in this thesis based on a selection of peer reviewed publications comprehensively describing the various aspects

Abstract Integration of Conceptual Process Models by the Example of Event-driven Process Chains

It has become common place in business life that companies with related operations engage in a so-called merger in order to benefit from synergies or from combined products and services. In order to handle the complexity of such an endeavour, it is important to utilise a structured ap-proach for finding similarities and contradictions in business process models of both partners. In this paper, we present a suitable procedure for this task. Furthermore, we demonstrate how to identify those specific activities within the overall business processes which must be adapted. In particular, we discuss how such integration can be conducted if the processes of both parties are modelled with Event-driven Process Chains, one of the most popular conceptual business proc-ess modelling languages. By the help of a running example we illustrate the join operator for the integration of these models and the interpretation of the result.

Πρότυπο μοντέλο επιχειρησιακών διαδικασιών στην τεχνική ανάπτυξη νέων προϊόντων

Παρουσίαση ενός Ολοκληρωμένου Μοντέλου που αφορά την τεχνική Ανάπτυξη Νέων προϊόντων, από το στάδιο της σύλληψης της αρχικής ιδέας μέχρι την κατασκευή του Προϊόντος και την έναρξη της σειριακής παραγωγή