Results 51 to 60 of about 955 (265)
Scheduling Algorithms for a Hybrid Flow Shop under Uncertainty
Algorithms, 2020 In modern production systems, scheduling problems have to be solved in consideration of frequently changing demands and varying production parameters.
Christin Schumacher, Peter Buchholz
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Advanced Engineering Materials, EarlyView.Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
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Acta Scientiarum: Technology, 2013 This paper deals with no-idle flow shop scheduling problem with the objective of minimizing makespan. A new hybrid metaheuristic is proposed for the scheduling problem solution.
Marcelo Seido Nagano +1 more
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A Hybrid Metaheuristic Algorithm for Robust Two-stage Flexible Flow Shop scheduling with Dedicated Assembly Lines under Uncertainty [PDF]
مجله مدل سازی در مهندسی, 2017 In this paper, the problem of scheduling and sequencing of multi-objective two-stage flexible flow shop with dedicated assembly lines, which produce various products during multiple planning periods, is proposed.
Ali akbar Hasani
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3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs
Advanced Engineering Materials, EarlyView.This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu +4 more
wiley +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Advanced Functional Materials, EarlyView.Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Energy-Efficient Flow Shop Scheduling Using Hybrid Grasshopper Algorithm Optimization
Jurnal Ilmiah Teknik Industri, 2020 Manufacturing companies have a significant impact on environmental damage, and energy consumption in manufacturing companies is a widespread issue because the energy used is derived from fossil fuels.
Dana Marsetiya Utama +2 more
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Advanced Functional Materials, EarlyView.This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
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Advanced Functional Materials, EarlyView.Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida +16 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies +8 more
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