Vendor Managed Inventory in Practice: Efficient Scheduling and Delivery Optimization DOI Creative Commons
Ibrahim Badi, Gülay Demir, Mouhamed Bayane Bouraima

et al.

Spectrum of Decision Making and Applications., Journal Year: 2024, Volume and Issue: 2(1), P. 157 - 164

Published: Nov. 23, 2024

Vendor Managed Inventory (VMI) is a widely adopted strategy in supply chain management, where the vendor assumes responsibility for maintaining inventory levels at customer’s location. This paper presents model to solve VMI problem, focusing on optimizing replenishment and reducing overall costs. The study employs heuristic approach, breaking down problem into manageable phases, including clustering customers, determining service sequence lists, delivery routes. applied practical case study, demonstrating its effectiveness minimizing stockouts while efficient levels. also examines key factors like quantity optimization, route scheduling, cost minimization. model's demonstrated by specific performance criteria, such as reduced stockouts, improved levels, minimized transportation findings indicate that suggested can significantly enhance efficiency, providing organizations with solid framework enhancing their procedures. These enhancements are accomplished preserving simplicity usefulness without need overly complex technological systems.

Language: Английский

Vendor Managed Inventory in Practice: Efficient Scheduling and Delivery Optimization DOI Creative Commons
Ibrahim Badi, Gülay Demir, Mouhamed Bayane Bouraima

et al.

Spectrum of Decision Making and Applications., Journal Year: 2024, Volume and Issue: 2(1), P. 157 - 164

Published: Nov. 23, 2024

Vendor Managed Inventory (VMI) is a widely adopted strategy in supply chain management, where the vendor assumes responsibility for maintaining inventory levels at customer’s location. This paper presents model to solve VMI problem, focusing on optimizing replenishment and reducing overall costs. The study employs heuristic approach, breaking down problem into manageable phases, including clustering customers, determining service sequence lists, delivery routes. applied practical case study, demonstrating its effectiveness minimizing stockouts while efficient levels. also examines key factors like quantity optimization, route scheduling, cost minimization. model's demonstrated by specific performance criteria, such as reduced stockouts, improved levels, minimized transportation findings indicate that suggested can significantly enhance efficiency, providing organizations with solid framework enhancing their procedures. These enhancements are accomplished preserving simplicity usefulness without need overly complex technological systems.

Language: Английский

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