Two-Phase Decision Support Methodology for Design and Planning an Outcome-Driven Supply Chain
Nowadays, Supply Chain success and competitiveness heavil y depend on the integrati on of its components and adaptability to deal with a changing environment. This articl e suggests the integration of design and management of a Supply Chain from an outcome-driven perspective. We propose a two-phase...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | México |
| Institución: | Universidad Autónoma de Nuevo León |
| Repositorio: | Redalyc-UANL |
| OAI Identifier: | oai:redalyc.org:47431860008 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=47431860008 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería multi driven outcome Supply chain design supply chain planning |
| Sumario: | Nowadays, Supply Chain success and competitiveness heavil y depend on the integrati on of its components and adaptability to deal with a changing environment. This articl e suggests the integration of design and management of a Supply Chain from an outcome-driven perspective. We propose a two-phase decision-making support methodology: first suppliers are pre-screened by solv ing a multi criteria sorting problem, and then a design and management plan is generated by solving a Mixed Integer Linear Programming Model. Experimentally we showed that the proposed methodology can efficiently solve to optimality the most popular benchmark instances published in previous paper moreover our model also includes problem characterist ics that have not been addre ssed together in previous published papers. |
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