A Reference Process Model for Usage Data-Driven Product Planning

Cyber-physical systems generate and collect huge amounts of usage data during operation. Analyzing these data may enable manufacturing companies to identify weaknesses and learn about the users of their products. Such insights are valuable in the early phases of product development like product planning, as they facilitate decision-making for product improvement. The analysis and exploitation of usage data in product planning, however, is a new task for manufacturing companies. To reduce mistakes and improve the results, companies should build upon a suitable reference process model. Unfortunately, established models for analyzing data cannot be easily applied for product planning. In this paper, we propose a reference process model for usage data-driven product planning. It builds on three well-established models for analyzing data and addresses the unique characteristics of usage data-driven product planning. Finally, we customize the model for a manufacturing company and demonstrate how it could be implemented in practice

Inductive Reference Modelling Based on Simulated Social Collaboration

Organizations nowadays possess huge repositories of process models. Inductive reference modelling can save costs and time by reusing process parts of process models belonging to a common domain. The inductive development of a reference model for a large corpus of process models is a difficult problem. Quite a few, primarily heuristic approaches have been proposed to the research community that require an approximate matching between the single processes. With our approach, we introduce a new concept that brings in for the first time an abstract efficiency simulation of the social collaboration around knowledge-based process models. A reference model is assembled featuring at least the topological minimum requirements to be significantly more efficient than the input process models. Our evaluation indicates that the approach is able to generate reference process models that are more efficient than the input process models and at least as a reference model designed by an expert

A method for developing Reference Enterprise Architectures

Industrial change forces enterprises to constantly adjust their organizational structures in order to stay competitive. In this regard, research acknowledges the potential of Reference Enterprise Architectures (REA). This thesis proposes REAM - a method for developing REAs. After contrasting organizations' needs with approaches available in the current knowledge base, this work identifies the absence of method support for REA development. Proposing REAM, the author aims to close this research gap and evaluates the method's utility by applying REAM in different naturalistic settings