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

School of Business Administration

Research output: Chapter in Book/Inform › Chapter › Research

Abstract

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.

Original language	English
Title of host publication	Fuzzy Information Processing 2020 Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020
Publisher	Springer
Pages	267-276
Number of pages	10
ISBN (Electronic)	9783030815615
ISBN (Print)	9783030815608
DOIs	https://doi.org/10.1007/978-3-030-81561-5_22
State	Published - Dec 9 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

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

Cite this

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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.

Research output: Chapter in Book/Inform › Chapter › Research

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AU - Figueroa-Garcia, Juan Carlos

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

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BT - Fuzzy Information Processing 2020 Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020

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