Results 21 to 30 of about 16,965 (263)
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
Reinforcement Learning (RL) has recently received significant attention from the process systems engineering and control communities. Recent works have investigated the application of RL to identify optimal scheduling decision in the presence of uncertainty. In this work, we present a RL methodology tailored to efficiently address production scheduling
Max Mowbray +2 more
openaire +2 more sources
Distributed Scheduling Problems in Intelligent Manufacturing Systems
Currently, manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization.
Yaping Fu +5 more
doaj +1 more source
Optimal Fair-Workload Scheduling: A Case Study at Glorytek
Taichung is the center of the Taiwanese precision optical industry. Optics companies are modernized and automated, with most running 24 h production lines.
Tzu-Chin Lin, Bertrand M. T. Lin
doaj +1 more source
Technical Note—A Production-Scheduling Problem with Batch Processing [PDF]
This note considers a multiple-facility, multiple-product, production-scheduling problem with backordering over a finite planning horizon that consists of discrete production periods during each of which at most one product can be assigned to each facility.
Robert C. Dorsey +2 more
openaire +1 more source
Smart factory is an exemplification of the Industrial Internet of Things (IIoT), connecting devices to expedite the production process and delivery of customized products.
Anam Nawaz Khan +5 more
doaj +1 more source
A Timed Petri Net Method to Optimize the Scheduling of a Railway Hub Construction Project
The construction of large-scale buildings often faces extended production cycles due to inefficiencies in scheduling processes. To address this challenge, a timed Petri net model was developed to analyze and optimize construction scheduling. Based on the
Wei Wang, Enjian Yao
doaj +1 more source
Feasibility Analysis in Batch Process: A Machine Learning Approach
Scheduling is a major issue in process operations, and it is essential for maximizing production output. Short-term scheduling is used in batch operations to allocate a set of restricted resources across time to manufacture one or more items according to
Piyush Kumar Kumawat +1 more
doaj +1 more source
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom +15 more
wiley +1 more source
Study the Job Shop Scheduling By Using Modified Heuristic Rule [PDF]
The process of scheduling is considered as one of the more important production planning processes which faces the management of companies, because of the pressure of competition processes.
Ali F.Mwazie AL-hajamie +1 more
doaj +1 more source

