Data of a novel MILP model for the production, lot-sizing and scheduling of automotive plastic components on parallel flexible injection machines with setup common operators
[EN] The data set contains the input/output data that was entered into the mathematical model to develop the case study. The data is synthetically generated and developed with an algorithm encoded in Python 3.7, the parameters for programming the algorithm are based on real data from a company in th...
| Autores: | , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/161643 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/161643 |
| Access Level: | acceso abierto |
| Palabra clave: | Lot-sizing Scheduling injection moulding Parallel machines Mixed integer linear programming Automotive industry ORGANIZACION DE EMPRESAS |
| Sumario: | [EN] The data set contains the input/output data that was entered into the mathematical model to develop the case study. The data is synthetically generated and developed with an algorithm encoded in Python 3.7, the parameters for programming the algorithm are based on real data from a company in the automotive sector and the values have been structured according to the indices defined in the model. Input/output data details have been added to make the model replicable. |
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