Browsing by Keyword "Management Information Systems"
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Item Ergonomics Evaluation in Designed Maintainability: Case Study Using 3 DSSPP: Case Study Using 3 DSSPP(2021-12-01) Teymourian, Kiumars; Tretten, Phillip; Seneviratne, Dammika; Galar, Diego; Tecnalia Research & Innovation; INDUSTRY_THINGSMaintainability is one of the design parameters (reliability, availability, maintainability, and safety (RAMS)) and maintenance is needed to keep the respective design in sustainable use. At the same time, the human is involved in the form of interface and interaction in an engineered product/system designed. Ergonomics is a multi-discipli nary science that considers human capabilities and limitations in a broader sense. The objective of this paper is to integrate ergonomics into the maintainability design process in order to facilitate maintenance operation in lesser; time, cost, easier operation as well as the well-being of human who is involved. In other words, good er gonomics lead to good economics and in a broader sense, sustainability. This investigation shows that designing comfortable workplaces and lesser workload for maintenance operators will be beneficial for the maintainability design process and also improve the meantime to repair MTTR. In order to evaluate the effect of designed work place and workload on maintainers 3 D Static Strength Prediction Program (3D SSPP) that is commonly used as an ergonomics evaluation tool in scientific studies was applied.Item Smart Grid Challenges Through the Lens of the European General Data Protection Regulation(Springer, 2020) Martinez, Jabier; Ruiz, Alejandra; Puelles, Javier; Arechalde, Ibon; Miadzvetskaya, Yuliya; Siarheyeva, Alena; Barry, Chris; Lang, Michael; Linger, Henry; Schneider, Christoph; SWT; Quantum; DIG_LIF_SKI; Tecnalia Research & InnovationThe General Data Protection Regulation (GDPR) was conceived to remove the obstacles to the free movement of personal data while ensuring the protection of natural persons with regard to the processing of such data. The Smart Grid has similar features as any privacy-critical system but, in comparison to the engineering of other architectures, has the peculiarity of being the source of energy consumption data. Electricity consumption constitutes an indirect means to infer personal information. This work looks at the Smart Grid from the perspective of the GDPR, which is especially relevant now given the current growth and diversification of the Smart Grid ecosystem. We provide a review of existing works highlighting the importance of energy consumption as valuable personal data as well as an analysis of the established Smart Grid Architecture Model and its main challenges from a legal viewpoint, in particular the challenge of sharing data with third parties.