99185 20230323131626.0 doi 10.3390/app10249154 sideral 122686 ART-2020-122686 eng Morella, P. (orcid)0000-0002-2908-8697 Development of a new kpi for the economic quantification of six big losses and its implementation in a cyber physical system 2020 Access copy available to the general public Unrestricted The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.679 2020 PHYSICS, APPLIED 73 / 160 = 0.456 2020 Q2 T2 ENGINEERING, MULTIDISCIPLINARY 38 / 91 = 0.418 2020 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 101 / 178 = 0.567 2020 Q3 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 201 / 333 = 0.604 2020 Q3 T2 0.435 2020 Computer Science Applications 2020 Q2 Engineering (miscellaneous) 2020 Q2 Process Chemistry and Technology 2020 Q2 Instrumentation 2020 Q2 Materials Science (miscellaneous) 2020 Q2 Fluid Flow and Transfer Processes 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Lambán, M.P. Universidad de Zaragoza (orcid)0000-0003-1401-6495 Royo, J. Universidad de Zaragoza (orcid)0000-0002-0692-5982 Sánchez, J.C. (orcid)0000-0002-0321-7905 Latapia, J. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 10, 24 (2020), 9154 [17 pp] Appl. sci. Applied Sciences (Switzerland) 2076-3417 635107 http://zaguan.unizar.es/record/99185/files/texto_completo.pdf Versión publicada 2534772 http://zaguan.unizar.es/record/99185/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:99185 articulos driver 2023-03-23-12:58:37 ARTICLE