PublicadoEl 23/11/22 por Comillas
Artículo

Analyzing Muda under COVID19 pandemic. A case study in a Spanish supermarket (early cite - online publishing)

tipo de documento semantico ckh_publication

Ficheros

Analysing Muda under COVID.docx
Tamaño 220542
Formato Unknown
Fecha de publicación 10/01/2022
Fuente Revista: International Journal of Economic Policy in Emerging Economies, Periodo: 2, Volumen: Early cite, Número: Early cite, Página inicial: Early cite, Página final: Early cite
Estado info:eu-repo/semantics/publishedVersion

Resumen

Idioma es-ES
Resumen

Lean 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.

Idioma en-GB
Resumen

Lean 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.

Grupos de investigación y líneas temáticas Innovación docente y Analytics (GIIDA)
Tipo de archivo application/vnd.openxmlformats-officedocument.wordprocessingml.document
Idioma en-GB
Tipo de acceso info:eu-repo/semantics/openAccess
Licencia http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Fecha de modificacion 22/09/2022
Fecha de disponibilidad 02/02/2022
fecha de alta 02/02/2022

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