An ensemble method of the machine learning to prognosticate the gastric cancer
Gastric Cancer is the most common malignancy of the digestive tract, which is the third
leading cause of cancer-related mortality worldwide. The early prognosis methods …
leading cause of cancer-related mortality worldwide. The early prognosis methods …
An integrated lot-sizing policy for the inventory management of constrained multi-level supply chains: Null-space method
The null-space method (NSM) for solving the nonlinear programming (NLP) is used to
transform an indefinite system into a symmetric positive definite one of a smaller dimension …
transform an indefinite system into a symmetric positive definite one of a smaller dimension …
An augmented Lagrangian approach with general constraints to solve nonlinear models of the large-scale reliable inventory systems
Abstract The Augmented Lagrangian method (ALM) is one of the algorithms in a class of
methods for constrained optimization of nonlinear problems (NLP) that seeks a solution by …
methods for constrained optimization of nonlinear problems (NLP) that seeks a solution by …
[HTML][HTML] Modeling the supply chain network in the fast-moving consumer goods industry during COVID-19 pandemic
The outbreak of the COVID-19 pandemic in recent years has raised serious concerns about
the distribution of fast-moving consumer goods products, given the freshness of their use. On …
the distribution of fast-moving consumer goods products, given the freshness of their use. On …
[HTML][HTML] Software reliability growth model with dependent failures and uncertain operating environments
DH Lee, IH Chang, H Pham - Applied Sciences, 2022 - mdpi.com
Software is used in various industries, and its reliability has become an extremely important
issue. For example, in the medical industry, software is used to provide medical services to …
issue. For example, in the medical industry, software is used to provide medical services to …
The effect of supply chain integration, management commitment and supply chain challenges on non-profit organizations performance: Empirical evidence from …
This research aimed to determine the effect of supply chain challenges and supply chain
performance in nonprofit organization performance and the supply chain integration and …
performance in nonprofit organization performance and the supply chain integration and …
Hybrid fleet capacitated vehicle routing problem with flexible Monte–Carlo Tree search
The rise in EVs popularity, combined with reducing emissions and cutting costs, encouraged
delivery companies to integrate them in their fleets. The fleet heterogeneity brings new …
delivery companies to integrate them in their fleets. The fleet heterogeneity brings new …
[HTML][HTML] A hybrid competitive evolutionary neural network optimization algorithm for a regression problem in chemical engineering
Neural networks have demonstrated their usefulness for solving complex regression
problems in circumstances where alternative methods do not provide satisfactory results …
problems in circumstances where alternative methods do not provide satisfactory results …
Optimization of price, lot size and backordered level in an EPQ inventory model with rework process
AA Taleizadeh, MS Naghavi-Alhoseiny… - RAIRO-Operations …, 2024 - rairo-ro.org
In traditional inventory models, the demand rate normally is considered as a constant value,
while in marketing and pricing, it is dependent on the selling price. The present study …
while in marketing and pricing, it is dependent on the selling price. The present study …
Decision making in two-layer supply chain with doubt fuzzy set
In this article, we discuss the application of doubt fuzzy set in a pollution sensitive economic
production quantity (EPQ) model. Here, we study some doubtful situations like proper …
production quantity (EPQ) model. Here, we study some doubtful situations like proper …