Browsing by Keyword "Performance"
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Item The AQUAS ECSEL Project Aggregated Quality Assurance for Systems: Co-Engineering Inside and Across the Product Life Cycle: Co-Engineering Inside and Across the Product Life Cycle(2019-09) Pomante, Luigi; Muttillo, Vittoriano; Křena, Bohuslav; Vojnar, Tomáš; Veljković, Filip; Magnin, Pacôme; Matschnig, Martin; Fischer, Bernhard; Martinez, Jabier; Gruber, Thomas; SWTThere is an ever-increasing complexity of the systems we engineer in modern society, which includes facing the convergence of the embedded world and the open world. This complexity creates increasing difficulty with providing assurance for factors including safety, security and performance. In such a context, the AQUAS project investigates the challenges arising from e.g., the inter-dependence of safety, security and performance of systems and aims at efficient solutions for the entire product life-cycle. The project builds on knowledge of partners gained in current or former EU projects and will demonstrate the newly developed methods and techniques for co-engineering across use cases spanning Aerospace, Medicine, Transport and Industrial Control.Item Developing and Implementing a Lean Performance Indicator: Overall Process Effectiveness to Measure the Effectiveness in an Operation Process: Overall Process Effectiveness to Measure the Effectiveness in an Operation Process(2022-02-12) Ng Corrales, Lisbeth del Carmen; Lambán, María Pilar; Morella, Paula; Royo, Jesús; Sánchez Catalán, Juan Carlos; Hernandez Korner, Mario Enrique; Tecnalia Research & Innovation; SGThe purpose of this paper is to build up and implement a framework of a lean performance indicator with collaborative participation. A new indicator derived from OEE is presented, overall process effectiveness (OPE), which measures the effectiveness of an operation process. The action research (AR) methodology was used; collaborative work was done between researchers and management team participation. The framework was developed with the researchers’ and practitioners’ experiences, and the data was collected and analyzed; some improvements were applied and finally, a critical reflection of the process was done. This new metric contributes to measuring the unloading process, identifying losses, and generating continuous improvement plans tailored to organizational needs, increasing their market competitiveness and reducing the non-value-add activities. The OEE framework is implemented in a new domain, opening a new line of research applied to logistic process performance. This framework contributes to recording and measuring the data of one unloading area and could be extrapolated to other domains for lean performance. It was possible to generate and validate knowledge applied in the field. This study makes collaborative participation providing an effectiveness indicator that helps the managerial team to make better decisions through AR methodology.