Results 101 to 110 of about 375,167 (310)

Involvement of Various Selection Methods for Genetic Algorithms in Determining the Optimal Production Schedule Problem

JOIV: International Journal on Informatics Visualization
This research investigates using genetic algorithms (GA) to optimize production scheduling in Medan's shoe industry. The study compares traditional manual and First Come First Serve (FCFS) methods against a GA approach, incorporating selection variations
Rizki Muliono, Nukhe Andri Silviana, Nanda Novita   +2 more
doaj   +1 more source

Retracted: Production Scheduling Optimization of Garment Intelligent Manufacturing System Based on Big Data. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Usage of clustering methods for sequence plan optimization in steel production [PDF]

, 2016
The paper deals with production scheduling of heat sequences while are steel types casted on continuous casting device. For production scheduling are used k-means clustering and fuzzy clustering methods. The parameters for cluster analysis are chemical
David, Jiří, Frischerová, Lucie, Švec, Pavel   +2 more
core   +2 more sources

An improved adaptive neural network for job-shop scheduling [PDF]

This article is posted here with permission of IEEE - Copyright @ 2005 IEEEJob-shop scheduling is one of the most difficult production scheduling problems in industry.
Yang, S
core   +3 more sources

LINC01116, a hypoxia‐lncRNA marker of pathological lymphangiogenesis and poor prognosis in lung adenocarcinoma

Molecular Oncology, EarlyView.
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola, Rafael Lopes Goncalves, Marin Truchi, Caroline Lacoux, Célia Scribe, Hugo Cadis, Laetitia Guardini, Sophie Bekisz, Marius Ilié, Paul Hofman, Georges Vassaux, Bernard Mari, Roger Rezzonico   +12 more
wiley   +1 more source

Optimization model for production scheduling taking into account preventive maintenance in an uncertainty-based production system. [PDF]

Heliyon, 2023
Penchev P, Vitliemov P, Georgiev I.
europepmc   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

Modeling and optimization of bakery production scheduling to minimize makespan and oven idle time. [PDF]

Sci Rep, 2023
Babor M, Paquet-Durand O, Kohlus R, Hitzmann B.   +3 more
europepmc   +1 more source

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon, Peter T. Gallagher, Orly I. Richter, Neermala Poudel Neupane, Amy C. Mandigo, Jennifer J. McCann, Emanuela Dylgjeri, Irina Vasilevskaya, Christopher McNair, Channing J. Paller, Wm. Kevin Kelly, Karen E. Knudsen, Matthew J. Schiewer, Ayesha A. Shafi   +13 more
wiley   +1 more source

Enumeration optimization of open pit production scheduling based on mobile capacity search domain. [PDF]

Sci Rep, 2023
Xu X, Gu X, Wang Q, Zhao Y, Kong W, Zhu Z, Wang F.   +6 more
europepmc   +1 more source