An Approach for Solving Fully Interval Production Planning Problems

Carlos Alberto Franco Franco; Juan Carlos  Figueroa-Garcia

doi:10.1007/978-3-030-81561-5_22

An Approach for Solving Fully Interval Production Planning Problems

Carlos Alberto Franco Franco
, Juan Carlos Figueroa-Garcia

Escuela de Administración

Producción científica: Capítulo en Libro/Informe › Capítulo › Investigación

Resumen

This paper shows a method for solving production planning problems involving interval-valued costs, standard times and constraints. An iterative method is used to solve the fully production planning problem using a global satisfaction degree and it is applied to an inventory/shortage example.

Idioma original	Inglés
Título de la publicación alojada	Fuzzy Information Processing 2020 Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020
Editorial	Springer
Páginas	267-276
Número de páginas	10
ISBN (versión digital)	9783030815615
ISBN (versión impresa)	9783030815608
DOI	https://doi.org/10.1007/978-3-030-81561-5_22
Estado	Publicada - dic. 9 2021

Áreas temáticas de ASJC Scopus

Ingeniería industrial y de fabricación

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-81561-5_22

Citar esto

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An Approach for Solving Fully Interval Production Planning Problems. / Franco Franco, Carlos Alberto; Figueroa-Garcia, Juan Carlos .
Fuzzy Information Processing 2020 Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020. Springer, 2021. p. 267-276.

Producción científica: Capítulo en Libro/Informe › Capítulo › Investigación

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AB - This paper shows a method for solving production planning problems involving interval-valued costs, standard times and constraints. An iterative method is used to solve the fully production planning problem using a global satisfaction degree and it is applied to an inventory/shortage example.

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