| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000380505 |
| ISSN: | 1665-6423 |
| Authors: | Ramírez Granados, M1 Hernández, J.E2 Lyons, A.C2 |
| Institutions: | 1Ford Motor Company, México, Distrito Federal. México 2University of Liverpool, Management School, Liverpool, Lancashire. Reino Unido |
| Year: | 2014 |
| Season: | Oct |
| Volumen: | 12 |
| Number: | 5 |
| Pages: | 860-870 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | 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 |
| Disciplines: | Ingeniería |
| Keyword: | 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 |
| Full text: | Texto completo (Ver HTML) |
