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Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review

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Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review

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Guzmán-Ortiz, BE.; Andres, B.; Poler, R. (2022). Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review. Journal of Industrial Information Integration. 27:1-17. https://doi.org/10.1016/j.jii.2021.100287

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/201090

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Title: Models and algorithms for production planning, scheduling and sequencing problems: a holistic framework and a systematic review
Author: Guzmán-Ortiz, Brunnel Eduardo Andres, B. Poler, R.
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Issued date:
Embargo end date: 2024-05-31
Abstract:
[EN] Production planning, scheduling and sequencing comprise the core of the manufacturing companies' perfor-mance. The new and changing market demands make manufacturing a challenge because companies must produce by using ...[+]
Subjects: Production planning , Scheduling , Sequencing , Mathematical programming , Metaheuristics
Copyrigths: Embargado
Source:
Journal of Industrial Information Integration. (eissn: 2452-414X )
DOI: 10.1016/j.jii.2021.100287
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.jii.2021.100287
Project ID:
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2018%2F170//AYUDA PREDOCTORAL GVA-GUZMAN/
Thanks:
This work was supported by the Conselleria de Educacion, Investigacion, Cultura y Deporte-Generalitat Valenciana for hiring predoctoral research staff with Grant (ACIF/2018/170) and European Social Funds with Grant Operational ...[+]
Type: Artículo

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