Many of the methods and tools proposed in the literature for validating product concepts are matrix-based, but they do not allow the results to be communicated easily and comprehensibly. This is a major obstacle to the integration of such methods. The poor communication of the results of a method therefore represents great potential for better integration of sustainability aspects in product development. In this article, an approach is proposed on how the results of the MECO matrix can be converted into a clear visualization of the reduced environmental assessments.

As digitalization progresses, the development and integration of sensory functions in technical systems become increasingly important. Managing uncertainty, especially in the early phase of this process, is crucial to ensure the reliability of the data provided. Therefore, a methodical framework for the identification, analysis and consideration of uncertainty was presented in prior works. In this contribution, the effectivity of the framework is evaluated by applying it to a sensory function for rotational speed and offset measurement of a disk pack coupling using sensor integrating bolts.

Lab-on-a-Chip (LOC) products for point-of-care diagnostics have gained significant attention. However, there is a lack of systematic approaches for LOC product development. To address this, we introduce an Attribute Dependency Graph exemplary for a magnetophoretic LOC system for pathogen detection. This model organizes dependencies between the design variables and crucial quantities of interest, such as detectability, cost per test, and test duration. The obtained model helps to manage design complexity and can be adapted to other LOC approaches.

In the context of condition monitoring and predictive maintenance, collecting accurate data from technical systems is an important corner stone of the advancing digitalization. For gathering precise data of the current state of a system, measurements from within the process can be utilised. To measure in process without disrupting the system is a challenge that can be tackled by using the physical properties of the components of the system. In this paper a method to systematically find such possible sensory utilizable components (SuC), based on their inherent physical effects is presented.

This study aims to generate a referential basis on which the designer can reflect about and explore scenarios during the structural and graphic packaging projects. “Packing Radar (RE)” has been compiled over years of research as it is spread across different sources and areas of expertise. This qualitative research uses content analysis and expert's opinions. The (RE) proposition shows its potential for improvement and diagnosis of sustainable packaging projects, of teaching activities and packaging professionals graduation.