Results 251 to 260 of about 680,167 (353)
Using dispatching rules for job shop scheduling with due date-based objectives [PDF]
T. Chiang, Li‐Chen Fu
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This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon+7 more
wiley +1 more source
Job Shop Scheduling Aiming at Completing All Jobs Simultaneously and within Due Date
Changzheng Xie+2 more
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In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling+7 more
wiley +1 more source
Aplikasi Penjadwalan Job Shop dengan Pendekatan Rolling Time Window
Cucu Wahyudin, Ramdhani Subagiantoro
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Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch+2 more
wiley +1 more source
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi+3 more
wiley +1 more source
Research on multi-agent genetic algorithm based on tabu search for the job shop scheduling problem. [PDF]
Peng C, Wu G, Liao TW, Wang H.
europepmc +1 more source
Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development
This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen+20 more
wiley +1 more source