112487 20240319080950.0 doi 10.3390/machines10020133 sideral 128387 ART-2022-128387 eng Ng Corrales, Lisbeth del Carmen Developing and implementing a lean performance indicator: overall process effectiveness to measure the effectiveness in an operation process 2022 Access copy available to the general public Unrestricted The 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.6 2022 ENGINEERING, MECHANICAL 62 / 136 = 0.456 2022 Q2 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 145 / 274 = 0.529 2022 Q3 T2 0.449 2022 Computer Science (miscellaneous) 2022 Q2 Control and Systems Engineering 2022 Q2 Mechanical Engineering 2022 Q2 Electrical and Electronic Engineering 2022 Q2 Industrial and Manufacturing Engineering 2022 Q2 Control and Optimization 2022 Q3 2.1 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Lambán, María Pilar Universidad de Zaragoza (orcid)0000-0003-1401-6495 Morella, Paula Universidad de Zaragoza (orcid)0000-0002-2908-8697 Royo, Jesús Universidad de Zaragoza (orcid)0000-0002-0692-5982 Sánchez Catalán, Juan Carlos (orcid)0000-0002-0321-7905 Hernández Korner, Mario Enrique 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 10, 2 (2022), [18 pp.] Machines (Basel) Machines 2075-1702 2144236 http://zaguan.unizar.es/record/112487/files/texto_completo.pdf Versión publicada 2734139 http://zaguan.unizar.es/record/112487/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:112487 articulos driver 2024-03-18-12:57:31 ARTICLE