Designing a Direct Labor Planning Model for production management of pharmaceutical companies
Descripción del Articulo
In the pharmaceutical industry, production planning responds to changes in customer demand and internal company processes. Processes in this industry are not value-additive, although the industry does present opportunities for improvement, such as reducing overtime, which occurs more than 30% of the...
Autor: | |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Universidad Nacional Mayor de San Marcos |
Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
Lenguaje: | español inglés |
OAI Identifier: | oai:ojs.csi.unmsm:article/17391 |
Enlace del recurso: | https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/17391 |
Nivel de acceso: | acceso abierto |
Materia: | Production plan direct workforce planning capacity of direct labor critical resource Kaizen method Plan de producción planificación de la MOD capacidad de la MOD método Kaizen recurso crítico |
Sumario: | In the pharmaceutical industry, production planning responds to changes in customer demand and internal company processes. Processes in this industry are not value-additive, although the industry does present opportunities for improvement, such as reducing overtime, which occurs more than 30% of the time; reducing production rescheduling, which reaches 40%; and improving level of customer service for state institutions, who represent 70% of purchase orders. These situations need to be improved within the company; and as a result, a sales and operations model that includes direct labor planning is designed. This model should enable a reduction of overtime and calculation of the amount of direct labor taking into account efficiency level. In practice, this is the expected outcome; it is achieved via the decisions made by the operations executive. |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).