| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560538 |
| ISSN: | 1405-5546 |
| Autores: | Rodríguez Parral, Ana Verónica1 López Pérez, Jesús Fabián2 |
| Instituciones: | 1Universidad de Monterrey, Escuela de Ingeniería y Tecnologías, México 2Universidad Autónoma de Nuevo León, Facultad de Contaduría Pública y Administración, México |
| Año: | 2020 |
| Periodo: | Jul-Sep |
| Volumen: | 24 |
| Número: | 3 |
| Paginación: | 999-1007 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | The sequencing of production issue is one of the most complex problems that arise in the automotive industry when producing various assembly line products. The objective of this article is to propose a production sequencing model for automotive components. The aim is to define the process variables that affect the number of units produced, process time (from entering the first station until exiting the assembly lines), and the utilization rate of the workstations. Currently, computer simulation is one of the most used tools to analyze, design, and evaluate complex production processes. It is able to make decisions about the real system without affecting it. The experimental design in this research was principal when generating the combinations of the inputs and how they affect the response variables. For this study, multivariable predictive regression models were used in order to verify the hypotheses described below and to identify which variables' main effects and interactions positively or negatively impact the assembly process. |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería mecánica |
| Keyword: | Simulation, Automotive industry, Predictive models, Promodel, Mechanical engineering |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
