Rosenberger, P., Grafinger, M., Gerhard, D., Hennig, M., & Dumss, S. (2020). The CASAD Matrix Method: Introduction of a Technique for the Documentation, Analysis, and Optimization of Context-Aware Systems. In K. Mpofu & P. Butala (Eds.), Enhancing design through the 4th Industrial Revolution Thinking (pp. 427–432). https://doi.org/10.1016/j.procir.2020.03.106
E307-04 - Forschungsbereich Maschinenbauinformatik und Virtuelle Produktentwicklung
-
Published in:
Enhancing design through the 4th Industrial Revolution Thinking
-
Volume:
91
-
Date (published):
2020
-
Event name:
30th CIRP Conference on Design (CIRP Dn 2020)
-
Event date:
5-May-2020 - 8-May-2020
-
Event place:
Pretoria
-
Event place:
ZA
-
Number of Pages:
6
-
Publisher:
91
-
Peer reviewed:
Yes
-
Keywords:
General Materials Science; ubiquitous computing; Context-aware systems; industry 4.0; design structure matrix method
-
Abstract:
The availability of precise sensors and the extensive usage of smart devices enable the development of systems that can sense their environment and recognize specific contexts. In recent years, so-called context-aware systems gained increasing popularity as they can provide situational assistance and automate nondeterministic processes. Despite their advantages, these systems still play a minor role in industrial applications due to reasons such as the increased efforts required for the engineering and development process and the absence of methods to handle the inherent complexity. This paper introduces the CASAD matrix method that facilitates the development of context-aware systems and reduces their complexity to a manageable level. The matrix is based on the design structure matrix method of Steward [1] and allows the structured documentation, analysis, and optimization of context-related systems properties. Further, different approaches for analyzing the matrix are shown and their outcomes discussed. Finally, the practical application is demonstrated in an industrial use case. Thereby, the CASAD matrix method is used to document, analyze, and optimize the contextually assisted activities, the contextual services, and the contexts of a context-aware assistance system for the shop floor of an injection molding company.