A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches
type: Item
instance of: scholarly article
title: A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches
zbMATH Open document ID: 1391.90007
author: Eduardo Curcio
author: Pedro Amorim
author: Bernardo Almada-Lobo
author: Douglas Alem
published in: Computers \& Operations Research
publication date: 2018-07-11T00:00:00Z
Mathematics Subject Classification ID: 90B05
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 6901534
zbMATH Keywords: lot sizing and scheduling problems
zbMATH Keywords: GLSP
zbMATH Keywords: robust optimization
zbMATH Keywords: stochastic programming
zbMATH Keywords: empirical study
zbMATH Keywords: Monte Carlo simulation
MaRDI profile type: Publication
full work available at URL: j.cor.2017.09.005
OpenAlex ID: W2753336172
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DOI: 10.1016/J.COR.2017.09.005
description: scientific article; zbMATH DE number 6901534