Vendor Managed Inventory in Practice: Efficient Scheduling and Delivery Optimization

Authors

DOI:

https://doi.org/10.31181/sdmap21202515

Keywords:

Vendor managed inventory, Vehicle routing, Nearest neighbor

Abstract

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

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References

Kiptum, C. K., Bouraima, M. B., Ibrahim, B., Oloketuyi, E. A., Makinde, O. O., & Qiu, Y. (2024). Implementation of effective supply chain management practice in the national oil corporation in developing country: an integrated BWM-AROMAN approach. Decision making advances, 2(1), 199-212. https://doi.org/10.31181/dma21202439

Badi, I., Bouraima, M. B., Qiu, Y., & Stević, Ž. (2024). Optimizing Priority Sequencing Rules in Parallel Machine Scheduling: An Evaluation and Selection Approach using Hybrid MCDM Techniques. Decision Making Advances, 2(1), 22-31. https://doi.org/10.31181/dma21202422

Badi, I., Bouraima, M. B., Stević, Ž., Oloketuyi, E. A., & Makinde, O. O. (2024). Optimizing vendor-managed inventory in multi-tier distribution systems. Spectrum of operational research, 1(1), 33-43. https://doi.org/10.31181/sor1120243

Beheshti, H. M., Clelland, I. J., & Harrington, K. V. (2020). Competitive advantage with vendor managed inventory. Journal of Promotion Management, 26(6), 836–854. https://doi.org/10.1080/10496491.2020.1794507

Van den Bogaert, J., & van Jaarsveld, W. (2022). Vendor-managed inventory in practice: Understanding and mitigating the impact of supplier heterogeneity. International Journal of Production Research, 60(20), 6087–6103. https://doi.org/10.1080/00207543.2021.1983222

Mohamadi, N., Niaki, S. T. A., Taher, M., & Shavandi, A. (2024). An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management. Engineering Applications of Artificial Intelligence, 127, 107403. https://doi.org/10.1016/j.engappai.2023.107403

Salas-Navarro, K., Romero-Montes, J. M., Acevedo-Chedid, J., Ospina-Mateus, H., & Florez, W. F. (2023). Vendor-managed inventory system considering deteriorating items and probabilistic demand for a three-layer supply chain. Expert Systems with Applications, 218, 119608. https://doi.org/10.1016/j.eswa.2023.119608

Weißhuhn, S., & Hoberg, K. (2021). Designing smart replenishment systems: Internet-of-things technology for vendor-managed inventory at end consumers. European Journal of Operational Research, 295(3), 949–964. https://doi.org/10.1016/j.ejor.2021.03.042.

De Giovanni, P. (2021). Smart supply chains with vendor managed inventory, coordination, and environmental performance. European Journal of Operational Research, 292(2), 515–531. https://doi.org/10.1016/j.ejor.2020.10.049

Liu, W., Ke, G. Y., Chen, J., & Zhang, L. (2020). Scheduling the distribution of blood products: A vendor-managed inventory routing approach. Transportation Research Part E: Logistics and Transportation Review, 140, 101964. https://doi.org/10.1016/j.tre.2020.101964

Astanti, R. D., Daryanto, Y., & Dewa, P. K. (2022). Low-carbon supply chain model under a vendor-managed inventory partnership and carbon cap-and-trade policy. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 30. https://doi.org/10.3390/joitmc8010030

Taleizadeh, A. A., Shokr, I., Konstantaras, I., & VafaeiNejad, M. (2020). Stock replenishment policies for a vendor-managed inventory in a retailing system. Journal of Retailing and Consumer Services, 55, 102137. https://doi.org/10.1016/j.jretconser.2020.102137

Dai, Z., Gao, K., & Giri, B. C. (2020). A hybrid heuristic algorithm for cyclic inventory-routing problem with perishable products in VMI supply chain. Expert systems with applications, 153, 113322. https://doi.org/10.1016/j.eswa.2020.113322

Mokhtari, H., & Rezvan, M. T. (2020). A single-supplier, multi-buyer, multi-product VMI production-inventory system under partial backordering. Operational Research, 20(1), 37-57. https://doi.org/10.1007/s12351-017-0311-z.

Shah, S., & Huat, K. S. (2021, September). The Application of Vendor Managed Inventory (VMI) as Improvement Tool in Manufacturing. In 2021 26th International Conference on Automation and Computing (ICAC) (pp. 1-5). IEEE. https://doi.org/10.23919/ICAC50006.2021.9594168

Khodashenas, M., Najafi, S. E., Kazemipoor, H., & Sobhani, M. (2023). Providing an integrated multi-depot vehicle routing problem model with simultaneous pickup and delivery and package layout under uncertainty with fuzzy-robust box optimization method. Decision Making: Applications in Management and Engineering, 6(2), 372-403. https://doi.org/10.31181/dmame622023640

Published

2024-11-23

How to Cite

Badi, I., Demir, G., Bouraima, M. B., & Maraka, A. K. (2024). Vendor Managed Inventory in Practice: Efficient Scheduling and Delivery Optimization. Spectrum of Decision Making and Applications, 2(1), 157-165. https://doi.org/10.31181/sdmap21202515