Integrated planning and scheduling of engineer-to-order projects using a Lamarckian Layered Genetic Algorithm
Year of publication: |
2024
|
---|---|
Authors: | Neumann, Anas ; Hajji, Adnene ; Rekik, Monia ; Pellerin, Robert |
Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-7579, ZDB-ID 2020829-7. - Vol. 267.2024, Art.-No. 109077, p. 1-17
|
Subject: | Engineer-to-order | Genetic algorithm | Hybrid method | Integrated planning and scheduling | Lamarckian learning | Mathematical model | Evolutionärer Algorithmus | Evolutionary algorithm | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Produktionsplanung | Production planning |
-
Neumann, Anas, (2022)
-
Genetic algorithms for planning and scheduling engineer-to-order production : a systematic review
Neumann, Anas, (2024)
-
Pitiot, Paul, (2013)
- More ...
-
A model for advanced planning systems dedicated to the Engineer-To-Order context
Neumann, Anas, (2022)
-
Neumann, Anas, (2022)
-
Genetic algorithms for planning and scheduling engineer-to-order production : a systematic review
Neumann, Anas, (2024)
- More ...