Universidad de Zaragoza Repository

000112487 001__ 112487
000112487 005__ 20240319080950.0
000112487 0247_ $$2doi$$a10.3390/machines10020133
000112487 0248_ $$2sideral$$a128387
000112487 037__ $$aART-2022-128387
000112487 041__ $$aeng
000112487 100__ $$aNg Corrales, Lisbeth del Carmen
000112487 245__ $$aDeveloping and implementing a lean performance indicator: overall process effectiveness to measure the effectiveness in an operation process
000112487 260__ $$c2022
000112487 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112487 5203_ $$aThe 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.
000112487 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112487 590__ $$a2.6$$b2022
000112487 592__ $$a0.449$$b2022
000112487 591__ $$aENGINEERING, MECHANICAL$$b62 / 136 = 0.456$$c2022$$dQ2$$eT2
000112487 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b145 / 274 = 0.529$$c2022$$dQ3$$eT2
000112487 593__ $$aComputer Science (miscellaneous)$$c2022$$dQ2
000112487 593__ $$aControl and Systems Engineering$$c2022$$dQ2
000112487 593__ $$aMechanical Engineering$$c2022$$dQ2
000112487 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ2
000112487 593__ $$aIndustrial and Manufacturing Engineering$$c2022$$dQ2
000112487 593__ $$aControl and Optimization$$c2022$$dQ3
000112487 594__ $$a2.1$$b2022
000112487 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112487 700__ $$0(orcid)0000-0003-1401-6495$$aLambán, María Pilar$$uUniversidad de Zaragoza
000112487 700__ $$0(orcid)0000-0002-2908-8697$$aMorella, Paula$$uUniversidad de Zaragoza
000112487 700__ $$0(orcid)0000-0002-0692-5982$$aRoyo, Jesús$$uUniversidad de Zaragoza
000112487 700__ $$0(orcid)0000-0002-0321-7905$$aSánchez Catalán, Juan Carlos
000112487 700__ $$aHernández Korner, Mario Enrique
000112487 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000112487 773__ $$g10, 2 (2022), [18 pp.]$$pMachines (Basel)$$tMachines$$x2075-1702
000112487 8564_ $$s2144236$$uhttps://zaguan.unizar.es/record/112487/files/texto_completo.pdf$$yVersión publicada
000112487 8564_ $$s2734139$$uhttps://zaguan.unizar.es/record/112487/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112487 909CO $$ooai:zaguan.unizar.es:112487$$particulos$$pdriver
000112487 951__ $$a2024-03-18-12:57:31
000112487 980__ $$aARTICLE

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