Flexible and Intelligent Learning Architectures for SOS (FILA-SoS)

Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized. Our quest continues to handle complexities, design and operate these systems. The challenge in Complex Adaptive Systems design is to design an organized complexity that will allow a system to achieve its goals. This report attempts to push the boundaries of research in complexity, by identifying challenges and opportunities. Complex adaptive system-of-systems (CASoS) approach is developed to handle this huge uncertainty in socio-technical systems

Yritysarkkitehtuurin kehittäminen Design Structure Matrix - työkalulla

This thesis examines how the Design Structure Matrix (DSM) tool could be used in managing an enterprise’s information systems portfolio. The goal is related to a larger concept called Enterprise Architecture (EA), which seeks to better link together the business and the information systems in use. However, EA frameworks and previous literary works are often quite abstract in nature, offering guidelines on what data to collect but not what to do with the data. Thus, a practical method of analysis was needed. The research was carried out as a single case study. At the case company, the primary goal for EA development was to increase the system’s flexibility to change. The focus was on applications linked to the company’s order-delivery process. The company wanted to allow each site freedom in choosing information systems for each phase of the process, but simultaneously ensure interoperability between sites. What was desired from this thesis was a way of generating development proposals for this type of architecture development, which could then be further refined. Based on the case company’s vision and a literature review, two distinct avenues were identified for developing the architecture. The communications could be organized so that information flows from module to module, or by defining a bus to move data between modules. The practical part of this thesis examines ways of generating these suggestions and visualizing them using the DSM. In addition, automatic clustering of the DSM was examined; this was seen as a way of generating clustering schemes alternative to those based on the process phases. The main theoretical contribution of the study is a method for analysing data collected as part of EA work, created through combining theory on both information systems and the DSM. As a practical contribution, a concrete tool was developed during the study to facilitate the creation and analysis of the architectural suggestions