Production scheduling decision-making technology for multiple CNC machining centers with constraints on serviceable time
Year of publication: |
2024
|
---|---|
Authors: | Qiu, Jianzhong ; Wu, Jun ; Chen, Xi ; Zhao, Bingyan ; Fang, Yan |
Published in: |
Journal of scheduling : JOS. - Dordrecht [u.a.] : Springer Science + Business Media, ISSN 1099-1425, ZDB-ID 2012329-2. - Vol. 27.2024, 5, p. 441-459
|
Subject: | Artificial Intelligence | Multiple CNC machining centers | Production scheduling decision | Tool’s serviceable time | Künstliche Intelligenz | Artificial intelligence | Scheduling-Verfahren | Scheduling problem | Prozessmanagement | Business process management | Theorie | Theory | Algorithmus | Algorithm | Produktionswirtschaft | Production management |
-
An inventory data-driven model for predictive-reactive production scheduling
Takeda-Berger, Satie L., (2024)
-
Dispatching rule selection with Gaussian processes
Heger, Jens, (2015)
-
Abreu, Levi Ribeiro de, (2023)
- More ...
-
Robust estimation of additive boundaries with quantile regression and shape constraints
Fang, Yan, (2022)
-
Vehicle routing optimization with soft time windows in a fuzzy random environment
Xu, Jiuping, (2011)
-
Does external shock trigger systemic banking distress?
Li, Xiaojun, (2015)
- More ...