Herramientas de manufactura esbelta que inciden en la productividad de una organización: modelo conceptual propuesto
| dc.contributor.author | Favela Herrera, Marie Karen Issamar | |
| dc.contributor.author | Escobedo Portillo, María Teresa | |
| dc.contributor.author | López, Roberto Romero | |
| dc.contributor.author | Hernández Gómez, Jesús Andrés | |
| dc.date.accessioned | 2020-02-04T16:08:50Z | |
| dc.date.available | 2020-02-04T16:08:50Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Introduction. Currently, industrial companies face the challenge of identifying and implementing new organizational and production techniques that allow them to compete in a global market. Thus, the lean manufacturing model has become an alternative to increase productivity and develop manufacturing skills that affect their competitiveness. However, the effect of each of the lean manufacturing tools on achieving productivity is unknown. Objective. Propose a conceptual model that identifies the relative weight in productivity provided by the implementation of each of the lean manufacturing tools. Materials and methods. The conceptual model is based on a literature review where an orderly and methodological sequence is followed to ensure that the development of this article has relevance in science and its application. Results. According to this research, the lean manufacturing tools that most influence the productivity of companies are: 5s; Total Productive Maintenance; Just in Time (JIT); Kaizen; Kanban; Rapid Model Change (SMED); and Value Stream Mapping (VSM), with a weight of 15, 14, 13, 12, 9, 9 and 7% respectively. In addition, it was found that the indicators that best measure productivity are those related to efficiency, effectiveness and internal factors. Conclusions. The main contribution of this article is the proposal of a conceptual model supported by theoretical evidence that identifies the most used lean tools to influence the productivity of an organization. | es_ES |
| dc.description.resumen | Introducción. Actualmente las empresas industriales enfrentan el desafío de identificar e implantar nuevas técnicas organizacionales y de producción que les permitan competir en un mercado global. Así, el modelo de fabricación esbelta se ha convertido en una alternativa para elevar la productividad y desarrollar competencias de manufactura que incidan en su competitividad. Sin embargo, se desconoce el efecto que aporta cada una de las herramientas de manufactura esbelta al logro de la productividad. Objetivo. Proponer un modelo conceptual que identifique el peso relativo que aporta la implantación de cada una de las herramientas de manufactura esbelta a la productividad. Materiales y métodos. El modelo conceptual parte de una revisión de literatura, donde para ello, se sigue una secuencia ordenada y metodológica para garantizar que el desarrollo de este artículo tenga relevancia en la ciencia y su aplicación. Resultados. En esta investigación las herramientas de manufactura esbelta que más indicen en la productividad de las empresas son: 5S, mantenimiento productivo total, el justo a tiempo (JIT), Kaizen, Kanban, cambio rápido de modelo (SMED) y el mapeo del flujo de valor (VSM) con un peso de 15, 14, 13, 12, 9, 9 y 7 % respectivamente. Además, los indicadores que mejor miden la productividad son los relacionados con la eficiencia, la efectividad y los factores internos. Conclusiones. La principal contribución de este artículo es la propuesta de un modelo conceptual sustentado en evidencia teórica que identifica las herramientas de manufactura esbelta más utilizadas para incidir en la productividad de una organización. | |
| dc.description.resumo | Introduction. Currently, industrial companies face the challenge of identifying and implementing new organizational and production techniques that allow them to compete in a global market. Thus, the lean manufacturing model has become an alternative to increase productivity and develop manufacturing skills that affect their competitiveness. However, the effect of each of the lean manufacturing tools on achieving productivity is unknown. Objective. Propose a conceptual model that identifies the relative weight in productivity provided by the implementation of each of the lean manufacturing tools. Materials and methods. The conceptual model is based on a literature review where an orderly and methodological sequence is followed to ensure that the development of this article has relevance in science and its application. Results. According to this research, the lean manufacturing tools that most influence the productivity of companies are: 5s; Total Productive Maintenance; Just in Time (JIT); Kaizen; Kanban; Rapid Model Change (SMED); and Value Stream Mapping (VSM), with a weight of 15, 14, 13, 12, 9, 9 and 7% respectively. In addition, it was found that the indicators that best measure productivity are those related to efficiency, effectiveness and internal factors. Conclusions. The main contribution of this article is the proposal of a conceptual model supported by theoretical evidence that identifies the most used lean tools to influence the productivity of an organization. | |
| dc.identifier.citation | Revista Lasallista de Investigación–Vol. 16 No 1–2019 | es_ES |
| dc.identifier.issn | 1794-4449 | |
| dc.identifier.uri | http://hdl.handle.net/10567/2641 | |
| dc.language.iso | es | es_ES |
| dc.publisher | Corporación Universitaria Lasallista, Editorial Lasallista | es_ES |
| dc.rights | Acceso abierto | |
| dc.rights.accessrights | info:eu-repo/semantics/openAcces | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
| dc.subject | Corporación Universitaria Lasallista | es_ES |
| dc.subject | Productividad | es_ES |
| dc.subject | Manufactura esbelta | es_ES |
| dc.subject | Administración de operaciones | es_ES |
| dc.title | Herramientas de manufactura esbelta que inciden en la productividad de una organización: modelo conceptual propuesto | es_ES |
| dc.title.alternative | Lean manufacturing tools that influence an organization’s productivity: conceptual model proposed | es_ES |
| dc.type | info:eu-repo/semantics/article |