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dc.contributor.author | Andrés Navarro, Beatriz | es_ES |
dc.contributor.author | Guzmán Ortiz, Brunnel Eduardo | es_ES |
dc.contributor.author | Poler Escoto, Raúl | es_ES |
dc.coverage.spatial | east=-0.3406299; north=39.4807985; name=Carrer Vicente Enrique y Tarancón, 46022 València, Valencia, Espanya | es_ES |
dc.date.accessioned | 2021-02-17T10:00:27Z | |
dc.date.available | 2021-02-17T10:00:27Z | |
dc.date.issued | 2021-02-17T10:00:27Z | |
dc.identifier.uri | http://hdl.handle.net/10251/161636 | |
dc.description.abstract | [EN] The Python code generates synthetic input data. The dataset contains the input data that for the mathematical model to develop the experiments. Launch LSSP_MILP_BASE_MODEL_GeneratorEXEC for generating synthetic input data by using the CLSD-BPIM Generator. The sizes of the indices (products, parts, resources, periods) for the small, medium and large datasets are the ones used in the experiments. | es_ES |
dc.description.sponsorship | This work was supported by the Conselleria de Educación, Investigación, Cultura y Deporte-Generalitat Valenciana for hiring predoctoral research staff with Grant no. ACIF/2018/170 and European Social Fund with Grant Operational Program of FSE 2014-2020, the Valencian Community, and the authors would like to acknowledge the support of the researchers participating in the collaborative projects ‘Cloud Collaborative Manufacturing Networks’ (C2NET) (http://c2net-project.eu/), which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement no. 636909, and “Zero Defects Manufacturing Platform” (ZDMP) (http://www.zdmp.eu), which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement no. 825631. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.uri | https://doi.org/10.1155/2021/6667516 | |
dc.relation.uri | https://doi.org/10.4995/Dataset/10251/161642 | |
dc.rights | Licencia Apache 2.0 | es_ES |
dc.subject | Lot-sizing | es_ES |
dc.subject | Scheduling | es_ES |
dc.subject | Injection moulding | es_ES |
dc.subject | Parallel machines | es_ES |
dc.subject | Mixed integer linear programming | es_ES |
dc.subject | Automotive industry | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Synthetic input data generator for a MILP model for lot-sizing and scheduling on parallel flexible injection machines | es_ES |
dc.type | Software | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//ACIF%2F2018%2F170/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/636909/EU/Cloud Collaborative Manufacturing Networks (C2NET)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/825631/EU/Zero Defect Manufacturing Platform/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció | es_ES |
dc.description.bibliographicCitation | Andrés Navarro, B.; Guzmán Ortiz, BE.; Poler Escoto, R. (2021). Synthetic input data generator for a MILP model for lot-sizing and scheduling on parallel flexible injection machines. Universitat Politècnica de València. http://hdl.handle.net/10251/161636 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | European Social Fund | es_ES |
dc.contributor.funder | European Commission | es_ES |