Results 161 to 170 of about 1,414,367 (299)

Energy-aware flexible job shop scheduling under time-of-use pricing with renewable, battery storage and preventive maintenance. [PDF]

Sci Rep
Zahid A, Leclaire P, Hammadi L, Costa Affonso R, El Ballouti A.   +4 more
europepmc   +1 more source

Integration of OpenCV‐Based Microscopic Adhesive Volume Measurement Into a Pyiron Workflow for Automated Data Analysis

Advanced Engineering Materials, EarlyView.
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley   +1 more source

Study on the job shop fuzzy dynamic scheduling based on virtual pre-scheduling

, 2006
Dynamic Job Shop scheduling is a frequently occurring and highly relevant problem in practical fuzzy manufacture environment. Previous research suggested that periodic rescheduling improves classical measures of efficiency; however, this strategy had the
Zhu YL(朱云龙), Song XY(宋晓宇), Yin CW(尹朝万), Li FM(李富明)   +3 more
core  

GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling. [PDF]

Sensors (Basel)
Zhou Y, Jiang J, Shi Q, Fu M, Zhang Y, Chen Y, Zhou L.   +6 more
europepmc   +1 more source

Rapidly Solidified High‐Strength Invar 36 Prepared by Planar‐Flow Melt Spinning

Advanced Engineering Materials, EarlyView.
The Invar 36 alloy was rapidly solidified using the planar‐flow melt‐spinning technique. Ribbon samples with thicknesses ranging from 20 to 160 mm were produced. As the grain size of the ribbon decreased to sub‐micron levels, the hardness increased by more than 2 times.
Bekir Akgül, Mehmet Kul
wiley   +1 more source

Learning based dynamic approach to job-shop scheduling

, 2001
Dynamic selection of scheduling rules during real operations has been recognized as a promising approach to the scheduling of the production. This paper studies the dynamic job-shop scheduling and presents a fuzzy logic based learning approach ...
Yu HB(于海斌), Liang W(梁炜)
core  

Hybrid Grey Wolf Optimizer with discrete prism dispersion strategy for solving flexible job-shop scheduling problem. [PDF]

Sci Rep
Duan Y, Shi L, Li M, Hua K, Liu T, He L.
europepmc   +1 more source

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

A novel multi-objective dynamic flexible job shop scheduling algorithm using reinforced learning based black widow spider algorithm. [PDF]

PLoS One
Akram K, Bhutta MU, Butt SI, Rizwan M, Khan MS, Khan M, Khan A.   +6 more
europepmc   +1 more source

A DNA algorithm for the job shop scheduling problem based on the Adleman-Lipton model. [PDF]

PLoS One, 2020
Tian X, Liu X, Zhang H, Sun M, Zhao Y.
europepmc   +1 more source