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UEU » Journal » Teknik Informatika
Posted by [email protected] at 07/01/2026 11:00:00  •  54 Views


ADVANCING DYNAMIC FLEXIBLE JOB SHOP SCHEDULING WITH A REAL-WORLD DATASET AND GENETIC ADAPTIVE SCHEDULING SYSTEM

Created by :
Masmur Tarigan (0323027707) ; Ford Lumban Gaol ; Alexander A. S. Gunawan ; Widodo Budiharto ( None )



SubjectTOLOK UKUR PENJADWALAN PRODUKSI
SISTEM MANUFAKTUR ADAPTIF
INTEGRASI DATA PERUSAHAAN
Alt. Subject PRODUCTION SCHEDULING BENCHMARK
ADAPTIVE MANUFACTURING SYSTEMS
ENTERPRISE DATA INTEGRATION
KeywordDynamic flexible job shop scheduling
flexible packaging industry
genetic adaptive scheduling system
Industry 4.0
metaheuristic optimization
real-world manufacturing dataset
real-time production control
rolling horizon scheduling
Date Create:07/01/2026
Type:Text
Format:Fullteks artikel
Language:Indonesian
Identifier:UEU-Journal-11_5801
Collection ID:11_5801


Source :
IEEE Access, vol. 13, pp. 193020-193031, 2025

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2026 Perpustakaan Universitas Esa Unggul


Publication URL :
https://digilib.esaunggul.ac.id/advancing-dynamic-flexible-job-shop-scheduling-with-a-realworld-dataset-and-genetic-adaptive-scheduling-system-41958.html




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[ Link of Contents]
  1. IEEE Access
    https://doi.org/10.1109/ACCESS.2025.3630184

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4.0 , Dynamic , Dynamic flexible job shop scheduling , Industry , Industry 4.0 , adaptive , control , dataset , flexible , flexible packaging industry , genetic , genetic adaptive scheduling system , horizon , industry , job , manufacturing , metaheuristic , metaheuristic optimization , optimization , packaging , real-time production , real-time production control , real-world , real-world manufacturing dataset , rolling , rolling horizon scheduling , scheduling , shop , system



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