Results 91 to 100 of about 2,256 (263)

PEMAKAIAN ALGORITMA GENETIK UNTUK PENJADWALAN JOB SHOP DINAMIS NON DETERMINISTIK

Jurnal Teknik Industri, 2004
Dynamic Job shops non deterministic scheduling problem is concerned with ordering some operations that processed by certain machines with variable and unknown arrival time of jobs. When new jobs arrive, it requires modifications in the existing schedule.
Nico Saputro, Yento Yento
doaj  

Learning dispatching rules via novel genetic programming with feature selection in energy-aware dynamic job-shop scheduling. [PDF]

Sci Rep, 2023
Sitahong A, Yuan Y, Li M, Ma J, Ba Z, Lu Y.   +5 more
europepmc   +1 more source

Powder Optimization Strategies for Binder Jetting Printing of BaTiO3 and Ba0,6Sr0,4TiO3 Ceramics

Advanced Engineering Materials, EarlyView.
Powder optimization is investigated to enable binder jetting of BaTiO3 and Ba0.6Sr0.4TiO3 ferroelectric ceramics. The antagonistic relationship between flowability and binder compatibility is addressed through binder impregnation of granulated powders and fumed silica addition to fine powders.
Fanny Pruvost, Lionel Presmanes, Soléna Colin, Marie Vidal, Sophie Guillemet‐Fritsch   +4 more
wiley   +1 more source

Pull-Based Output Rate Control of a Flexible Job Shop in a Multi-Shop Production Chain

Mathematics
This paper addresses the problem where optimizing a single production shop within a production chain may not improve the overall performance of the entire chain.
Wei Weng, Meimei Zheng, Jiuchun Ren
doaj   +1 more source

Evaluating the job shop scheduling problem on a D-wave quantum annealer. [PDF]

Sci Rep, 2022
Carugno C, Ferrari Dacrema M, Cremonesi P.   +2 more
europepmc   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Low-Carbon and Energy-Efficient Dynamic Flexible Job Shop Scheduling Method Towards Renewable Energy Driven Manufacturing

Machines
As one of the major sources of global carbon emissions, the manufacturing industry urgently requires green transformation. The utilization of renewable energy in production workshop offers a promising route toward zero-carbon manufacturing.
Yao Lu, Qicai Zhu, Changhao Tian, Erbao He, Taihua Zhang   +4 more
doaj   +1 more source

A New Frequency Analysis Operator for Population Improvement in Genetic Algorithms to Solve the Job Shop Scheduling Problem. [PDF]

Sensors (Basel), 2022
Viana MS, Contreras RC, Morandin Junior O.   +2 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

An Improved African Vulture Optimization Algorithm for Dual-Resource Constrained Multi-Objective Flexible Job Shop Scheduling Problems. [PDF]

Sensors (Basel), 2022
He Z, Tang B, Luan F.
europepmc   +1 more source