Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/65300
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorMorales Contreras, Manuel Franciscoes-ES
dc.contributor.authorSuárez Barraza, Manuel Franciscoes-ES
dc.contributor.authorBarcos Redín, Lucíaes-ES
dc.date.accessioned2022-02-02T08:38:01Z-
dc.date.available2022-02-02T08:38:01Z-
dc.date.issued2023-03-27es_ES
dc.identifier.issn1752-0460es_ES
dc.identifier.uri10.1504/IJEPEE.2022.10044259es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractLean service aims at identifying and eliminating Muda or waste (non-value-added activities). The purpose of this paper is to answer the research questions: Which types of waste can be observed in supermarket stores during COVID-19 pandemic? How has it impacted the operational processes in stores? An exploratory case study based on structured direct observation has been conducted. A supermarket store in a Spanish mid-size city has been selected and observed during more than 30 weeks. Methods to gather data were document analysis, direct and participative observation and informal interviews with customers and employees. Seven types of Muda (defects, motion, over-processing, inventory, overproduction, transportation, and time) were identified and measured prior to COVID-19 pandemic and after the first weeks. Results states that all types increase significantly during the first four weeks after pandemic outrage, but they decrease afterwards when actions are implemented by management.es-ES
dc.description.abstractLean service aims at identifying and eliminating Muda or waste (non-value-added activities). The purpose of this paper is to answer the research questions: Which types of waste can be observed in supermarket stores during COVID-19 pandemic? How has it impacted the operational processes in stores? An exploratory case study based on structured direct observation has been conducted. A supermarket store in a Spanish mid-size city has been selected and observed during more than 30 weeks. Methods to gather data were document analysis, direct and participative observation and informal interviews with customers and employees. Seven types of Muda (defects, motion, over-processing, inventory, overproduction, transportation, and time) were identified and measured prior to COVID-19 pandemic and after the first weeks. Results states that all types increase significantly during the first four weeks after pandemic outrage, but they decrease afterwards when actions are implemented by management.en-GB
dc.format.mimetypeapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentes_ES
dc.language.isoen-GBes_ES
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.sourceRevista: International Journal of Economic Policy in Emerging Economies, Periodo: 2, Volumen: 17, Número: 2, Página inicial: 256, Página final: 281es_ES
dc.subject.otherInnovación docente y Analytics (GIIDA)es_ES
dc.titleAnalyzing Muda under COVID19 pandemic. A case study in a Spanish supermarketes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordslean; service process; grocery stores; supermarket; continuous improvement; waste; Muda; COVID-19 pandemic; Spanish.es-ES
dc.keywordslean; service process; grocery stores; supermarket; continuous improvement; waste; Muda; COVID-19 pandemic; Spanish.en-GB
Aparece en las colecciones: Artículos

Ficheros en este ítem:
Fichero Tamaño Formato  
Analysing Muda under COVID.docx215,37 kBUnknownVisualizar/Abrir


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.