Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems
Year of publication: |
2024
|
---|---|
Authors: | Nascimento, Paulo Jorge ; Silva, Cristóvão ; Henggeler Antunes, Carlos ; Moniz, Samuel |
Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 317.2024, 1 (16.8.), p. 92-110
|
Subject: | Additive manufacturing | Logic-based benders decomposition | Nesting | Packing | Scheduling | Theorie | Theory | Dekompositionsverfahren | Decomposition method | Scheduling-Verfahren | Scheduling problem | Mathematische Optimierung | Mathematical programming | Produktionssystem | Manufacturing system | Produktionssteuerung | Production control | Industrie | Manufacturing industries | Produktionsplanung | Production planning |
-
A framework for production planning in additive manufacturing
De Antón, Juan, (2023)
-
Christ, Quentin, (2019)
-
Additive manufacturing scheduling problem considering assembly operations of parts
Arık, Oğuzhan Ahmet, (2022)
- More ...
-
Nesting and scheduling optimization of additive manufacturing systems : mapping the territory
Pinto, Marcelo, (2024)
-
Vieira, Miguel, (2022)
-
Food loss and waste in the Brazilian beef supply chain : an empirical analysis
Magalhães, Vanessa S.M., (2020)
- More ...