Results 201 to 210 of about 737,186 (350)

Evaluation of Solvers’ Performance for Solving the Flexible Job-Shop Scheduling Problem

, 2023
João Carlos Silva, Nuno Lopes, Cátia Alves, Goran D. Putnik, Leonilde Varela, Luís Ferreira, Manuela Cruz-Cunha   +6 more
openalex   +1 more source

Microstructural Evolution and Mechanical Performance of Plasma‐Assisted Hybrid Friction Stir Welded Dissimilar Aluminum–Copper Joints

Advanced Engineering Materials, EarlyView.
Plasma‐assisted hybrid friction stir welding of dissimilar AlCu joints employs localized plasma preheating to balance heat input and enhance plastic flow. The optimized process reduces axial force by up to 35%, refines the microstructure, and achieves ≈96% joint efficiency.
Deepak Kumar Yaduwanshi, Pankaj Shrivastava, Ganesh Chouhan, Velaphi Msomi   +3 more
wiley   +1 more source

Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots. [PDF]

Sci Rep
Zhang M, Zhou M, Zhang L, Zhang Z.
europepmc   +1 more source

ARTIFICIAL INTELLIGENCE EFFECTIVENESS IN JOB SHOP ENVIRONMENTS

, 2011
Ómar Danilo Castrillón, William Sarache, Jaime A Giraldo   +2 more
openalex   +1 more source

Job Shop Scheduling with Fuzzy Duedate and Fuzzy Processing Time through Genetic Algorithms

, 1997
Masatoshi Sakawa, Tetsuya Mori
openalex   +2 more sources

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

Advanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos, Grigorios Kostopoulos, Eleni Papadopoulou, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria N. Gkara, Chara Ch. Mitropoulou, Georgios Kazakis, Alin Munteanu, Jeremi Gancet, Nikos D. Lagaros   +11 more
wiley   +1 more source

Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]

Sci Prog
Sun Z, Han W, Gao L, Zhu C, Lyu Q.
europepmc   +1 more source

Order Management and Completion Date Prediction of Manufacturing Job-Shop Based on Deep Learning.

Comput Intell Neurosci, 2022
Wang M.
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

An improved scatter search algorithm for solving job shop scheduling problems with parallel batch processing machine. [PDF]

Sci Rep
Wang H, Xiong H, Zuo W, Shi S.
europepmc   +1 more source