Adaptation and approximate strategies for solving the lot-sizing and scheduling problem under multistage demand uncertainty
Eduardo Curcio, Pedro Amorim, Qi Zhang, Bernardo Almada-Lobo
| Year of publication: |
August 2018
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|---|---|
| Authors: | Curcio, Eduardo ; Amorim, Pedro ; Zhang, Qi ; Almada-Lobo, Bernardo |
| Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 202.2018, p. 81-96
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| Subject: | Lot-sizing and scheduling problem | GLSP | Adjustable robust optimization | Multistage stochastic programming | Rolling-horizon | Theorie | Theory | Scheduling-Verfahren | Scheduling problem | Losgröße | Lot size | Produktionsplanung | Production planning | Mathematische Optimierung | Mathematical programming | Stochastischer Prozess | Stochastic process | Dynamische Optimierung | Dynamic programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijpe.2018.04.012 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011882435