Results 231 to 240 of about 680,167 (353)

Multi-objective optimization using improved NSGA-II for integrated process planning and scheduling problems in a machining job shop for large-size valve. [PDF]

PLoS One
Wang J, Xu L, Sun S, Ma Y, Yu G.
europepmc   +1 more source

Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems. [PDF]

PLoS One, 2020
Shi X, Long W, Li Y, Deng D.
europepmc   +1 more source

A COMBINED ALGORITHM FOR SOLVING JOB SHOP SCHEDULING PROBLEMS

, 2002
Yajie Tian, Nobuo Sannomiya, Changzheng Xie, Tetsuo Sawaragi   +3 more
openalex   +1 more source

Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor

Advanced Engineering Materials, EarlyView.
Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller, Sahar Ben Hassine, Jörg Töpfer, Christoph Priese, Arne Bochmann, Beate Capraro, Sebastian Stark, Uwe Partsch, Carina Fresemann   +8 more
wiley   +1 more source

GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search. [PDF]

Sci Rep
Shao X, Kshitij FS, Kim CS.
europepmc   +1 more source

Dynamic Job Shop Scheduling Using a Neural Network. 1st Report. A Two-Stage Training Method to Minimize Tardiness Cost.

, 2002
Toru EGUCHI, Fuminori OBA, Satoru Toyooka   +2 more
openalex   +2 more sources

A Comparative Study of Precedence-Preserving Genetic Operators in Sequential Ordering Problems and Job Shop Scheduling Problems [PDF]

, 2004
Hye-Ree Lee, Keon Myung Lee
openalex   +1 more source

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

Advanced Engineering Materials, EarlyView.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya‐Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür L. Özçep, Lars‐Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch   +44 more
wiley   +1 more source

Bi-criteria Job Shop Scheduling Using a Multi-layer Feed-forward Neural Network

, 2002
Fuyuki SIMODA, Satoshi Takamoto, Toru EGUCHI, Fuminori OBA   +3 more
openalex   +2 more sources

Development and Validation of a One‐Dimensional Finite Difference Simulation Scheme for Polymer Laser Powder Bed Fusion with Application to the Effect of the Inter Layer Time

Advanced Engineering Materials, EarlyView.
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch, Bastien Dietemann, Moritz Grünewald, Christian Schlör, Johannes Rudloff   +4 more
wiley   +1 more source