Results 41 to 50 of about 19,773 (260)

Deep Reinforcement Learning for Selection of Dispatch Rules for Scheduling of Production Systems

Applied Sciences
Production scheduling is a critical task in the management of manufacturing systems. It is difficult to derive an optimal schedule due to the problem complexity.
Kosmas Alexopoulos, Panagiotis Mavrothalassitis, Emmanouil Bakopoulos, Nikolaos Nikolakis, Dimitris Mourtzis   +4 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo, Weisi Dai, Jie Mao, Mei Ye, Xingshan Lu, Xiaocui Zhang   +5 more
wiley   +1 more source

'Explicit Learning: an Effort towards Human Scheduling Algorithms' [PDF]

, 2003
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approaches are problem-specific and research into the development of a general ...
Aickelin, Uwe, Aickelin, U, Li, Jingpeng, Li, J   +3 more
core  

An Experimental Analysis on Dispatching Rules for the Train Platforming Problem in Busy Complex Passenger Stations

Promet (Zagreb), 2017
This paper presents the scheduling models for train platforming problem (TPP) by using mixed integer linear programming and job shop scheduling theory. First, the operation procedures and scheduled time adjustment costs of different train types specific ...
Qiongfang Zeng, Yinggui Zhang, Dingyou Lei   +2 more
doaj   +1 more source

A Discrete Artificial Bee Colony Algorithm for Stochastic Vehicle Scheduling

Complex System Modeling and Simulation, 2022
Vehicle scheduling plays a profound role in public transportation. Especially, stochastic vehicle scheduling may lead to more robust schedules. To solve the stochastic vehicle scheduling problem (SVSP), a discrete artificial bee colony algorithm (DABC ...
Yuanyuan Li, Yindong Shen, Jingpeng Li
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

A multi-task allocation method for coal gangue sorting robots based on the integration of greedy strategy and scheduling rules

Gong-kuang zidonghua
The complex raw coal mining process and the variation in the raw coal gangue content result in nonlinear changes in the arrival time, position coordinates, and particle size of the gangue on the belt conveyor, which affects the overall benefits of coal ...
CAO Xiangang, DING Wentao, WU Xudong, WANG Peng, ZANG Jiasong, LIU Yizhe   +5 more
doaj   +1 more source

Analisis Perbandingan Pada Penjadwalan Job Untuk Ketepatan Waktu Proses

Jurnal Teknik Industri, 2008
Almost most of company operates based on request (order). The aim of company in industry world is get to complete the customer needs that are the high quality of goods, cheap goods price or finish and delivery product on time.
Pipit Sari Puspita
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

A two-stage heuristic approach for nurse scheduling problem : a case study in an emergency department

, 2014
Nurse scheduling is a critical issue in the management of emergency department. Under the intense work environment, it is imperative to make quality nurse schedules in a most cost and time effective way.
Xu, M., Chin, K. S., Wong, T. C.
core   +1 more source