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Synthetic input data generator for a MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging

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Synthetic input data generator for a MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging

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Guzmán Ortiz, BE.; Andrés Navarro, B.; Poler Escoto, R. (2021). Synthetic input data generator for a MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging. http://hdl.handle.net/10251/172395

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Title: Synthetic input data generator for a MILP model for lot-sizing and scheduling of automotive plastic components with availability of raw materials and packaging
Author: Guzmán Ortiz, Brunnel Eduardo Andrés Navarro, Beatriz Poler Escoto, Raúl
UPV Unit: Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció
Issued date:
Abstract:
The Python code generates synthetic input data. The dataset contains the input data to develop the experiments for the mathematical model (mixed integer linear programming model for lot-sizing and scheduling of automotive ...[+]
Subjects: Lot-sizing , Scheduling , Packaging , Raw materials , Mixed integer linear programming , Input data generator
Copyrigths: Licencia Apache 2.0
Project ID:
info:eu-repo/grantAgreement/EC/H2020/825631/EU/Zero Defect Manufacturing Platform/
Thanks:
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 ...[+]
Type: Software

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