Data-Driven Order Consolidation with Vehicle Routing Optimization

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 848 - 848

Published: Jan. 22, 2025

This study compares time-based and quantity-based consolidation strategies within the Vehicle Routing Problem (VRP) framework to optimize supplier profitability logistical efficiency. The model consolidates deliveries at fixed intervals, offering predictable routes, reduced customer wait times, cost efficiency in stable markets. Conversely, dynamically adjusts delivery volumes meet fluctuating demand, providing flexibility dynamic environments but potentially increasing long-term costs due complexity. Using a mixed-integer linear programming (MILP) model, sensitivity analyses, scenario-based experiments, demonstrates that excels conditions, while performs better highly variable demand scenarios. These findings provide actionable insights for selecting operations enhance supply chain performance based on market dynamics.

Language: Английский

INTELLIGENT METHODS FOR IMPROVING DELIVERY SYSTEM IN E-COMMERCE INDUSTRY

Voronezh Scientific-Technical Bulletin, Journal Year: 2024, Volume and Issue: unknown, P. 64 - 78

Published: Dec. 17, 2024

Competition in the e-commerce system due to its rapid development forces companies search for solutions improve efficiency. The most important issue this case is logistics operations, on which customer satisfaction depends. advent of intelligent technologies makes it possible rebuild online order delivery system, making more flexible and convenient. article discusses one ways solve problem. Using example building a two-link from an store, shown that proposed will not only speed up process, but also reduce load city's transport network both terms traffic environmental point view. Ultimately, option contribute implementation ESG concept. uses simulation models have proven themselves well solving such problems. Different options "last mile" courier deliveries are recommended.

Language: Английский