A computational study of the general lot-sizing and scheduling model under demand uncertainty via robust and stochastic approaches
Douglas Alem, Eduardo Curcio, Pedro Amorim, Bernardo Almada-Lobo
| Year of publication: |
February 2018
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| Authors: | Alem, Douglas ; Curcio, Eduardo ; Amorim, Pedro ; Almada-Lobo, Bernardo |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 90.2018, p. 125-141
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| Subject: | Lot sizing and scheduling problems | GLSP | Robust optimization | Stochastic programming | Empirical study | Monte carlo simulation | Theorie | Theory | Losgröße | Lot size | Scheduling-Verfahren | Scheduling problem | Monte-Carlo-Simulation | Monte Carlo simulation | Robustes Verfahren | Robust statistics | Stochastischer Prozess | Stochastic process | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2017.09.005 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011775297