Single Station MILP Scheduling Models Using Continuous and Discrete Approach-Reference-Cited by-同舟云学术

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Single Station MILP Scheduling Models Using Continuous and Discrete Approach

Published:2023 Issue: Volume: Page:364-368
ISSN:2367-4512
Container-title:Lecture Notes on Data Engineering and Communications Technologies
language:
Short-container-title:

Author:

Muñoz-Díaz María-Luisa^ORCID,Escudero-Santana Alejandro^ORCID,Leus Roel^ORCID,Lorenzo-Espejo Antonio^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27915-7_64

Reference5 articles.

1. Floudas, C.A., Lin, X.: Mixed integer linear programming in process scheduling: modeling, algorithms, and applications. Ann. Oper. Res. 139(1), 131–162 (2005)

2. Marchetti, P.A., Cerdá, J.: An approximate mathematical framework for resource-constrained multistage batch scheduling. Chem. Eng. Sci. 64(11), 2733–2748 (2009)

3. Elekidis, A.P., Corominas, F., Georgiadis, M.C.: Production scheduling of consumer goods industries. Ind. Eng. Chem. Res. 58(51), 23261–23275 (2019)

4. Graham, R.L., Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G.G.: Optimization and approximation in deterministic sequencing and scheduling: a survey. Ann. Dis. Math. 5, 287–326 (1979)

5. Muñoz-Díaz, M.-L., Escudero-Santana, A., Lorenzo-Espejo, A., Robles-Velasco, A.: Modelos lineales mixtos para la programación de la producción con una sola etapa: estado del arte. Dir y Organ. 77, 63–73 (2022)

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