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 with setup common operators. Universitat Politècnica de València. http://hdl.handle.net/10251/161635
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/161635
Title:
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Synthetic input data generator for a MILP model for lot-sizing and scheduling on parallel flexible injection machines with setup common operators
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Author:
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Andrés Navarro, Beatriz
Guzmán Ortiz, Brunnel Eduardo
Poler Escoto, Raúl
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UPV Unit:
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Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció
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Issued date:
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Abstract:
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[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 ...[+]
[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.
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Subjects:
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Lot-sizing
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Scheduling
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Injection moulding
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Parallel machines
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Mixed integer linear programming
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Automotive industry
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Copyrigths:
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Licencia Apache 2.0
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related items:
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https://doi.org/10.1155/2021/6667516
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Publisher:
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Universitat Politècnica de València
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Project ID:
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info:eu-repo/grantAgreement/EC/H2020/636909/EU/Cloud Collaborative Manufacturing Networks (C2NET)/
info:eu-repo/grantAgreement/GVA//ACIF%2F2018%2F170/
info:eu-repo/grantAgreement/EC/H2020/825631/EU/Zero Defect Manufacturing Platform/
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Thanks:
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This work was supported by the Conselleria de Educación, Investigación, Cultura y Deporte - Generalitat Valenciana for hiring predoctoral research staff with Grant (ACIF/2018/170) and European Social Fund with Grant ...[+]
This work was supported by the Conselleria de Educación, Investigación, Cultura y Deporte - Generalitat Valenciana for hiring predoctoral research staff with Grant (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. “Zero Defects Manufacturing Platform” (ZDMP) (www.zdmp.eu) which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement No. 825631
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Type:
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Software
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