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Advanced methods and models in uncertainty for the order promising process in supply chain characterized by the lack of homogeneity in product.

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Advanced methods and models in uncertainty for the order promising process in supply chain characterized by the lack of homogeneity in product.

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Grillo Espinoza, H. (2017). Advanced methods and models in uncertainty for the order promising process in supply chain characterized by the lack of homogeneity in product [Tesis doctoral no publicada]. Universitat Politècnica de València. doi:10.4995/Thesis/10251/91110

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/91110

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Title: Advanced methods and models in uncertainty for the order promising process in supply chain characterized by the lack of homogeneity in product.
Author:
Director(s): Alemany Díaz, María del Mar Ortiz Bas, Ángel
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Read date / Event date:
2017-09-22
Embargo end date: 2019-09-22
Abstract:
The Lack of Homogeneity in the Product (LHP) appears in productive processes with raw materials, which directly stem from nature and/or production processes with operations that confer heterogeneity to the characteristics ...[+]


La Falta de Homogeneidad en el Producto (LHP, por sus siglas del inglés ``Lack of Homogeneity in the Product'') aparece en procesos productivos con materias primas que derivan directamente de la naturaleza y/o procesos de ...[+]


La Falta d'Homogeneïtat en el Producte (LHP, per les seues sigles de l'anglés ''Lack of Homogeneity in the Product'') apareix en processos productius amb matèries primes que deriven directament de la natura i/o processos ...[+]
Subjects: Order Promising Process , Due Date Commitment , Available-To-Promise , Lack of Homogeneity in the Product , Master Production Schedule , Subtypes of Product , Perishability , Shelf-life , Uncertainty , Fuzzy Set Theory, Possibility Theory , Linear Mathematical Modelling , Fuzzy Linear Modelling
Copyrigths: Embargado
DOI: 10.4995/Thesis/10251/91110
Type: Tesis doctoral

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