Open Access Research Article

Logistics Optimization with Supplier Inventory Management Approach in a Single Factory-Multiple Distribution Branch System

Authors

Ali Najafi Faculty of Industrial Engineering, Tarbiat Modares University, Tehran, Iran.
Seyyed Hesam Eldin Zagordi * Faculty of Industrial Engineering, Tarbiat Modares University, Tehran, Iran.

https://doi.org/10.48313/scodm.v2i4.45

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Abstract

In this study, a two-echelon supply chain comprising one manufacturer and several distribution centers is examined, with an emphasis on distribution and logistics optimization. The main objective of the research is to reduce logistics costs and prevent inventory shortages at distribution centers by adopting a Vendor Managed Inventory (VMI) approach. Under this approach, the manufacturer is responsible for managing inventory levels at the distribution centers and, through optimal planning, supplying the required quantities. The problem addressed in this research is the optimal distribution of products from the factory warehouse to distribution centers, ensuring that, in addition to meeting demand, logistics costs are minimized. To solve this problem, a mathematical model is developed to determine the optimal quantity of product distribution and the appropriate type of transportation fleet to minimize logistics costs and avoid inventory shortages. The case study of this research focuses on the distribution of products from the factory warehouse to multiple distribution centers.

Keywords

Logistics Distribution Vendor-managed inventory

References (26)

[1] Hasanpour Jesri, Z. S., Hassannayebi, E., & Abolghasemian, M. (2024). Optimization models for vehicle routing problems with simultaneous delivery and pickup under time window constraints. Journal of operational research and its applications, 21(2), 35–55. (In Persian). http://dx.doi.org/10.71773/jamlu-2024-1-2220

[2] Kheiri, A. O., Abolghasemian, M., Saberi Fard, N., Davoodi, H., & Pourghader Chobar, A. (2025). Identifying and ranking factors affecting the performance and flexibility evaluation of the digital supply chain system in Khoshgovar Company. Journal of operational research and its applications, 22(4), 67-81. (In Persian). http://dx.doi.org/10.71773/jad-2025-1-2275

[3] Samieifard, M., Abolghasemian, M., & Pourghader Chobar, A. (2024). The impact of innovation, performance, and e-commerce development in the online shop on online marketing: A case study in the industry. Interdisciplinary journal of management studies, 18(1), 1–17. https://doi.org/10.22059/ijms.2024.358619.675818

[4] Ghasemi, P., Ali, S. M., Abolghasemian, M., Malakoot, R. A., & Chobar, A. P. (2025). A stochastic sustainable closed-loop supply chain networks for used solar photovoltaic systems: Meta-heuristic comparison and real case study. Sustainable operations and computers, 6, 15–33. https://doi.org/10.1016/j.susoc.2024.11.001

[5] Hemmati, A., Kaveh, F., Abolghasemian, M., & Pourghader Chobar, A. (2024). Simulating the line balance to provide an improvement plan for optimal production and costing in petrochemical industries. Engineering management and soft computing, 10(1), 190–212. https://doi.org/10.22091/jemsc.2024.11189.1198

[6] Imeni, M., & Sorourkhah, A. (2023). Procrustes’ bed metaphor; understanding the problem of creativity and innovation in the human resources of Iran’s state-owned enterprises. Innovation management and operational strategies, 4(3), 208–218. https://doi.org/10.22105/imos.2022.364479.1253

[7] Bayatzadeh, S., Talaie, H., & Sorourkhah, A. (2024). Analyzing the quality of digitalization in supply chain collaboration models using an integrated fuzzy BWM-TOPSIS approach. Journal of quality engineering and management, 14(3), 224-243. (In persian). https://doi.org/10.48313/jqem.2025.516446.1513

[8] Joorbonyan, Z., Sorourkhah, A., & Edalatpanah, S. A. (2024). Identifying and prioritizing appropriate strategies for customer loyalty in a mass environment (case study: Clothing house). Journal of decisions and operations research, 9(1), 98-119. (In Persian). https://doi.org/10.22105/dmor.2024.420185.1800

[9] Aviv, Y., & Federgruen, A. (1998). The operational benefits of information sharing and vendor managed inventory (VMI) programs. Olin School of Business Working Paper.

[10] Angulo, A., Nachtmann, H., & Waller, M. A. (2004). Supply chain information sharing in a vendor managed inventory partnership. Journal of business logistics, 25(1), 101–120. https://doi.org/10.1002/j.2158-1592.2004.tb00171.x

[11] WANG, C. (2009). Random yield and uncertain demand in decentralised supply chains under the traditional and VMI arrangements. International journal of production research, 47, 1955–1968. https://doi.org/10.1080/00207540701666220

[12] Sadeghi, J., Sadeghi, S., & Niaki, S. T. A. (2014). Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: an improved particle swarm optimization algorithm. Information sciences, 272, 126–144. https://doi.org/10.1016/j.ins.2014.02.075

[13] 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

[14] Lin, K. P., Chang, P. T., Hung, K. C., & Pai, P. F. (2010). A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms. Expert systems with applications, 37(3), 2571–2579. https://doi.org/10.1016/j.eswa.2009.08.020

[15] Ghasemi, E., Lehoux, N., & Rönnqvist, M. (2024). A multi-level production-inventory-distribution system under mixed make to stock, make to order, and vendor managed inventory strategies: An application in the pulp and paper industry. International journal of production economics, 271, 109201. https://doi.org/10.1016/j.ijpe.2024.109201

[16] Disney, S. M. &, & Towill, D. R. (2003). The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains. International journal of production economics, 85, 199–215. https://doi.org/10.1016/S0925-5273(03)00110-5

[17] Disney, S. M., & Towill, D. R. (2002). A procedure for the optimization of the dynamic response of a vendor managed inventory system. Computers & industrial engineering, 43((1-2)), 27–58. https://doi.org/10.1016/S0360-8352(02)00061-X

[18] Yu, Y., Hong, Z., Zhang, L. L., Liang, L., & Chu, C. (2013). Optimal selection of retailers for a manufacturing vendor in a vendor managed inventory system. European journal of operational research, 225(2), 273–284. https://doi.org/10.1016/j.ejor.2012.09.044

[19] Karimpoor, M., Nasiri, G. R., & Monabbati, S. E. (2023). Production, distribution, and capacity planning for an integrated buyer-vendor system incorporating different production and shipping scenarios. Computers & industrial engineering, 184, 109545. https://doi.org/10.1016/j.cie.2023.109545

[20] Andres, B., Sanchis, R., Lamothe, J., Saari, L., & Hauser, F. (2017). Integrated production-distribution planning optimization models: A review in collaborative networks context. International journal of production management and engineering, 5(1), p-31. https://dx.doi.org/10.4995/ijpme.2017.6807

[21] Fang, X., So, K. C., & Wang, Y. (2008). Component procurement strategies in decentralized assemble-to-order systems with time-dependent pricing. Management science, 54(12), 1997–2011. https://doi.org/10.1287/mnsc.1080.0934

[22] Laganà, D., Malaguti, E., Monaci, M., Musmanno, R., & Paronuzzi, P. (2024). An iterated local search matheuristic approach for the multi-vehicle inventory routing problem. Computers & operations research, 169, 106717. https://doi.org/10.1016/j.cor.2024.106717

[23] Yao, Y., Evers, P. T., & Dresner, M. E. (2007). Supply chain integration in vendor-managed inventory. Decision support systems, 43(2), 663–674. https://doi.org/10.1016/j.dss.2005.05.021

[24] Tarhini, H., Karam, M., & Jaber, M. Y. (2020). An integrated single-vendor multi-buyer production inventory model with transshipments between buyers. International journal of production economics, 225, 107568. https://doi.org/10.1016/j.ijpe.2019.107568

[25] Hariga, M., As’Ad, R., & Ben-Daya, M. (2022). Vendor managed inventory coordination under contractual storage agreement and carbon regulation policies. IEEE access, 10, 66098–66112. https://doi.org/10.1109/ACCESS.2022.3183988

[26] hong Zhao, Q., Chen, S., Leung, S. C., & Lai, K. K. (2010). Integration of inventory and transportation decisions in a logistics system. Transportation research part e: logistics and transportation review, 46(6), 913-925. https://doi.org/10.1016/j.tre.2010.03.001

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Published 2025-12-10
Issue Vol. 2 No. 4 (2025): Supply Chain and Operations Decision Making
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Document Type Research Article
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How to Cite

Najafi, A. ., & Eldin Zagordi, S. H. . (2025). Logistics Optimization with Supplier Inventory Management Approach in a Single Factory-Multiple Distribution Branch System. Supply Chain and Operations Decision Making, 2(4), 220-228. https://doi.org/10.48313/scodm.v2i4.45

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