Latest Articles for Supply Chain Management

A study on using neural networks for better parametric optimization in decision-making.

Digital models enhance resilience and decision-making during supply chain disruptions.

How using historical data can enhance decision-making in uncertain environments.

A new approach enhances vehicle routing solutions for larger problems using neural networks.

A look into online decision-making and its practical applications.

Utilizing deep reinforcement learning to enhance truck delivery efficiency.

A new dual-stage algorithm improves scheduling efficiency in crude oil refineries.

A look at robust shortest path problems in uncertain network conditions.

This article explores challenges faced while adopting IoT in the cold supply chain.

A new approach to optimize vehicle routing using reinforcement learning.

This study enhances decision-making models for competitive pricing and facility locations.

Exploring how DGMs can enhance retail supply chain efficiency.

Exploring how group centrality metrics reshape network analysis and understanding.

Strategies to optimize inventory placement for better order fulfillment in e-commerce.

A new method uses quantum computing to tackle complex delivery routing challenges.

A novel approach to address variable costs in economic lot-sizing.

Examining Stackelberg games and pricing strategies in supply chains.

Exploring how quantum computing addresses challenges in logistics and supply chain management.

A study on optimizing production planning through updated customer demand and innovative strategies.

A fresh look at the vehicle routing problem considering complex loading constraints.

Strategies to minimize costs in online request delivery systems.

Discover the new features of SCIP 9.0 for efficient optimization.

Analyzing challenges of parcel sorting using graphs for improved logistics.

Discover how cross-docking improves logistics and reduces costs in supply chains.

Using quantum techniques to tackle the Newsvendor problem and improve inventory decisions.

Linking clustering techniques with vehicle routing for efficient deliveries.

A new approach to enhance learning in infinite-horizon average-reward MDPs.

Exploring a novel method for optimizing semi-continuous variables in complex scenarios.

A look at how MCDFN elevates demand forecasting accuracy.

A comprehensive look at trust dynamics in AI systems and their supply chains.

Examining how time impacts the production process in today’s economy.

Physical stores adapt to online demand through quick-commerce strategies.

A new model improves efficiency in loading and unloading shipping containers.

A method to optimize dynamic vehicle routing with LIFO unloading and docking constraints.

This study presents a novel method to optimize logistics task assignment using surrogate models.

A study on improving logistics through effective truck routing and driver management.

Improving seed order fulfillment processes to enhance agricultural efficiency.

A formal approach to ensure reliable information across supply chains.

Exploring methods to enhance security in blockchain supply chains through anomaly detection.

A new approach enhances understanding of supply chains and predicts future transactions.