Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

The coordination of order policies constitutes a great challenge in supply chain inventory
management as various stochastic factors increase its complexity. Therefore, analytical …

Determining optimum inventory replenishment decisions are critical for retail businesses
with uncertain demand. The problem becomes particularly challenging when multiple …

Background: This study investigates the vital significance of logistical cost optimization
within the residual woody biomass supply chain, aiming to boost both sustainability and the …

Supply chain configuration is often fuzzy and involves multiple objectives in real-world
scenarios, but existing researches lack the exploration in the fuzzy aspect. Therefore, this …

Making integrated decisions has a positive effect on component companies' competitiveness
and success in the multi-echelon supply chain network. This paper developed a more …

Optimization of supply chain management is a way of ensuring the usability of resources
and related technologies at the best possible way. Transportation scheduling of vehicle and …

Genetic algorithm is an evolutionary computing approach which is recurrently used in
different areas of Computer Science, Management, Physics, and Engineering etc. In this …

The key idea of the paper is the development of a probabilistic model for optimum inventory
policy for a three-product, four-echelon, distributive system. The mathematical model is built …

Today's business environment, survival and making profit in market are the prime
requirement for any enterprise due to competitive environment. Innovation and staying …