| Revue: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000380505 |
| ISSN: | 1665-6423 |
| Autores: | Ramírez Granados, M1 Hernández, J.E2 Lyons, A.C2 |
| Instituciones: | 1Ford Motor Company, México, Distrito Federal. México 2University of Liverpool, Management School, Liverpool, Lancashire. Reino Unido |
| Año: | 2014 |
| Periodo: | Oct |
| Volumen: | 12 |
| Número: | 5 |
| Paginación: | 860-870 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | The automotive supply chain industry is characterised for a well-known hierarchical structure, where manufactures exchange partially their forecasting with their first-tier suppliers as a requirements demand, which implies in the most of the cases that suppliers must be prepared for handling a variety of potential requirements. Moreover, considering technological tools for handling such variety are crucial for managing efficiently the decision-making in this domain. Therefore, this paper presents a simulation-based model to support the resource allocation decision-making process in a real automotive first-tier supplier UK company. Results shown that operations management is enhanced across the selected first-tier supplier by reducing the reworks, which leads to achieve its production targets. Keywords: Conceptual modelling, Simulation, automotive industry, decision-making, supply chain |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería industrial, Industria automotriz, Cadena de suministro, Toma de decisiones, Modelos de simulación |
| Keyword: | Engineering, Industrial engineering, Automotive industry, Supply chain, Decision making, Simulation models |
| Texte intégral: | Texto completo (Ver HTML) |
