Results 91 to 100 of about 122,671 (350)

Job Shop Scheduling Under Uncertainty

, 2022
In this research we aim to investigate the job shop scheduling problem with uncertain processing times. First we study the literature for the best solution approaches for the deterministic job shop problem. Among all developed algorithms in the literature the famous TSAB algorithm by Nowicki and Smutnicki in 1996 has shown well performance regarding ...
Ghorbani Saber, Reza, Aghezzaf, El-Houssaine, De Vuyst, Stijn, Leyman, Pieter   +3 more
openaire   +2 more sources

Practice Recommendations for Genetic Testing of Ataxias

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Over the past decade, significant advances in genetic testing for ataxia have improved diagnostic accuracy, informed clinical trial eligibility, guided treatment decisions, and enabled cascade testing of at‐risk relatives. While guidance exists for other neurogenetic conditions, there are no standardized guidelines on genetic ...
Sharan R. Srinivasan, Amy D. Mook, Michelle Rochman, Jin Yun Helen Chen, Weiyi Mu, George R. Wilmot, Liana S. Rosenthal, Wendy R. Uhlmann   +7 more
wiley   +1 more source

Multi-Agent Communication for Dynamic Job-Shop Scheduling: A Robust Single-Machine Scheduling Model With Genetic Algorithm Optimization

IEEE Access
Job-shop scheduling is crucial in manufacturing systems but struggles with uncertainties like random job arrivals and disruptions. Traditional scheduling methods often rely on centralized control and predefined rules, limiting flexibility in dynamic ...
Hong-Phuc Nguyen, Quang-Hieu Ngo, van-Can Nguyen   +2 more
doaj   +1 more source

Selected heuristic algorithms for solving job shop and flow shop scheduling problems [PDF]

, 2014
Importance of job shop and flow shop scheduling has increased to a high extent. Nowadays, each and every industry focuses largely on how to schedule their machine working, since it is an important factor which decides the net productivity.
Das, M K
core  

Assessing a Mitochondrial Disease Treatment via a Novel Statistical Technique for Accelerometer Data

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Therapeutic development for mitochondrial diseases, rare genetic disorders with pathogenic defects of oxidative phosphorylation, is hindered by unsatisfactory outcome measures. To address this problem, we provide the first clinical application of a novel, bias‐adjusted outcome measure of acceleration across a range of subjects ...
Ian W. McKeague, Kristin Engelstad, Yue Ge, Amber Tucker, Shufang Li, Jasim Uddin, Ziwei Zhao, John L. P. Thompson, Michio Hirano   +8 more
wiley   +1 more source

Energy-Efficient Job-Shop Dynamic Scheduling System Based on the Cyber-Physical Energy-Monitoring System

IEEE Access, 2018
Nowadays, a large amount of energy is consumed by buildings in the city. Among them, industrial energy consumption accounts for a large proportion due to the high power of manufacturing devices in the job-shop.
Yixiong Feng, Qirui Wang, Yicong Gao, Jin Cheng, Jianrong Tan   +4 more
doaj   +1 more source

Quantitative Assessment of Upper Limb Ataxia Using a Virtual Reality‐Based Evaluation System

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebellar ataxia impairs coordination and balance, reducing quality of life. Conventional clinical scales, including the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS), are widely used to assess ataxia but are limited by subjectivity and inter‐rater variability ...
Masayuki Sato, Takayuki Abe, Sho Aoki, Setsuki Tsukagoshi, Yasushi Yuminaka, Yoshio Ikeda   +5 more
wiley   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

An Energy-Efficient Scheduling Approach for Flexible Job Shop Problem in an Internet of Manufacturing Things Environment

IEEE Access, 2019
This paper addresses the energy-efficient scheduling and real-time control of flexible job shop that requires rescheduling affected operations and updating the scheduling. For energy-efficient scheduling shop floor efficiently, we propose a metaheuristic
Songling Tian, Taiyong Wang, Lei Zhang, Xiaoqiang Wu   +3 more
doaj   +1 more source

A hybrid shifting bottleneck-tabu search heuristic for the job shop total weighted tardiness problem [PDF]

, 2010
In this paper, we study the job shop scheduling problem with the objective of minimizing the total weighted tardiness. We propose a hybrid shifting bottleneck - tabu search (SB-TS) algorithm by replacing the reoptimization step in the shifting bottleneck
Bulbul, Kerem, Bülbül, Kerem
core   +5 more sources