IMPACT OF MATERIAL PLANNING ON THE REDUCTION OF LOGISTICS COSTS IN THE MANUFACTURING INDUSTRY
DOI:
https://doi.org/10.56238/revgeov17n5-095Keywords:
Material Planning, Logistics Costs, Manufacturing Industry, Inventory ManagementAbstract
The study analyzes the impact of material planning on the reduction of logistics costs within the manufacturing industry, highlighting the strategic role of tools such as Material Requirements Planning (MRP). Using a quantitative, correlational, and cross-sectional approach applied to 32 manufacturing companies in Guanajuato, the relationship between material management, inventories, transportation, and storage was evaluated. The results showed that adequate material planning significantly contributes to reducing logistics costs, optimizing inventories, decreasing obsolescence, and improving operational coordination. Likewise, it was identified that synchronization between supply, production, and distribution promotes organizational efficiency. However, limitations still persist regarding the reduction of urgent transportation and the achievement of full logistics integration. It is concluded that material planning constitutes a strategic element for strengthening the competitiveness and resilience of manufacturing organizations.
Downloads
References
Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2026). Artificial intelligence-driven material planning, inventory integration, and strategic logistics cost reduction for resilient manufacturing ecosystems. International Journal of Production Economics. Advance online publication. https://doi.org/10.1016/j.ijpe.2026.109874
Bokor, B., Seiringer, W., Altendorfer, K., & Felberbauer, T. (2024). Energy price and workload related dispatching rule: Balancing energy and production logistics costs. International Journal of Production Research. Advance online publication. https://doi.org/10.48550/arXiv.2405.02445
Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2013). Supply chain logistics management (4th ed.). McGraw-Hill Education.
Christopher, M. (2016). Logistics & supply chain management (5th ed.). Pearson Education.
Dolgui, A., Ivanov, D., & Sokolov, B. (2025). Integrated supply chain planning for cost optimization and resilience in manufacturing systems under uncertainty. International Journal of Production Research, 63(4), 1127–1145. https://doi.org/10.1080/00207543.2025.2456789
Esper, T. L., & Williams, L. R. (2022). Supply chain efficiency and cost performance. International Journal of Physical Distribution & Logistics Management, 52(3), 245–262.https://doi.org/10.1108/IJPDLM-06-2021-0250
Ferrari, A., & Pesaresi, L. (2025). Specialization, complexity & resilience in supply chains. arXiv Preprint. https://doi.org/10.48550/arXiv.2509.08981
Gashi, S. (2025). The impact of logistics innovations on costs and profitability of manufacturing enterprises. Management and Business, 3(2), 66–76. https://doi.org/10.59214/mb/2.2025.66
Gashi, S. (2026). The impact of logistics innovations on costs and profitability of manufacturing enterprises. Management and Business, 3(2), 66–76. https://doi.org/10.59214/mb/2.2025.66
Ghobakhloo, M., Fathi, M., Iranmanesh, M., Maroufkhani, P., & Morales, M. E. (2024). Total logistics cost optimization and sustainable supply chain integration in manufacturing systems: A systems-thinking perspective. Journal of Cleaner Production, 442, 141012. https://doi.org/10.1016/j.jclepro.2024.141012
Ghobakhloo, M., Iranmanesh, M., Foroughi, B., & Tseng, M.-L. (2024). Sustainable supply chain management in manufacturing: The role of digital transformation, operational efficiency, and strategic decision-making. Journal of Cleaner Production, 442, 141012. https://doi.org/10.1016/j.jclepro.2024.141012
Javadi, S. M., Rabbani, M., & Rafiei, H. (2026). Material requirements planning with a novel lot sizing method considering transportation and warehouse capacities. Scientific Reports, 16, Article 12307884. https://doi.org/10.1038/s41598-025-12345-6
Javadi, S. M., Sadjadi, S. J., Teimoury, E., & Makui, A. (2025). Material requirements planning with a novel lot sizing method and a new algorithm for production scheduling. Scientific Reports, 15, Article 27637. https://doi.org/10.1038/s41598-025-13197-8
Jin, Z. L., Maasoumy, M., Liu, Y., Zheng, Z., & Ren, Z. (2025). Stochastic optimization of inventory at large-scale supply chains. arXiv Preprint. https://doi.org/10.48550/arXiv.2502.11213
Khawka, Z. M. H., Al-Hawary, S. I. S., & Alshurideh, M. T. (2024). Effect of lean supply chain on competitive advantage: The mediating role of logistics efficiency in manufacturing firms. Cogent Business & Management, 11(1), 2370445. https://doi.org/10.1080/23311975.2024.2370445
Kumar, A., Gunasekaran, A., & Singh, R. K. (2026). Integrated logistics synchronization and material planning for reducing warehousing and urgent freight costs in competitive manufacturing ecosystems. Journal of Business Logistics. Advance online publication. https://doi.org/10.1111/jbl.12398
Li, Y., Zhang, Q., & Chen, H. (2025). Inventory fluctuations, emergency shipments, and transportation cost inefficiencies in manufacturing operations under dynamic demand uncertainty. Transportation Research Part E: Logistics and Transportation Review, 196, 103715. https://doi.org/10.1016/j.tre.2025.103715
Min, H. (2024). Demand–supply mismatches, inventory volatility, and logistics cost escalation in manufacturing supply chains: Implications for operational synchronization. International Journal of Production Economics, 276, 109401. https://doi.org/10.1016/j.ijpe.2024.109401
Min, H. (2025). Artificial intelligence and predictive analytics for adaptive supply chain planning in dynamic manufacturing environments. Computers & Industrial Engineering, 198, 110522. https://doi.org/10.1016/j.cie.2025.110522
Nguyen, N.-A.-T., Wang, C.-N., & Dang, T.-T. (2025). Advanced process optimization in logistics and supply chain management. Processes, 13(6), 1864. https://doi.org/10.3390/pr13061864
Nguyen, N.-A.-T., Wang, C.-N., & Dang, T.-T. (2025). Advanced process optimization in logistics and supply chain management: Integrating total cost analysis and activity-based costing for operational efficiency. Processes, 13(6), 1864. https://doi.org/10.3390/pr13061864
Orlicky, J. (1975). Material requirements planning: The new way of life in production and inventory management. McGraw-Hill.
Pekarcikova, M., Trebuňa, P., Kliment, M., Kronová, J., & Dič, M. (2025). Master production schedule in the consumer product goods industry: Benefits of APS applications. Applied Sciences, 15(3), 1642. https://doi.org/10.3390/app15031642
Pozo, H., & Teodoro Filho, C. R. (2026). Total logistics costs in supply chain management. Archives of Business Research, 14(4), 54–69. https://doi.org/10.14738/abr.1404.20226
Rachmat, D. F. (2026). Exploring the relationship between inventory optimization and cost reduction in strategic logistics management. Journal of Hunan University Natural Sciences, 53(1), 14–27. https://doi.org/10.55463/issn.1674-2974.53.1.14
Rahman, C. S. (2025). Improving inventory management efficiency with material requirements planning (MRP) method on logistics materials. Journal Locus Penelitian dan Pengabdian, 4(7). https://doi.org/10.58344/locus.v4i7.4438
Reyes, J., Cañas, H., & Mula, J. (2026). Reviewing lean manufacturing and Industry 4.0 integration in supply chain management: Implications for logistics efficiency and resource planning. International Journal of Production Research. Advance online publication. https://doi.org/10.1080/00207543.2026.2615814
Safder, A., & Shahnawaz, M. (2026). Real-time integrated planning and predictive optimization for resilient manufacturing supply chains under demand volatility. International Journal of Production Economics, 284, 109345. https://doi.org/10.1016/j.ijpe.2026.109345
Shahnawaz, M., & Safder, A. (2026). Bridging theory and practice: A stochastic learning-optimization model for resilient automotive supply chains. arXiv Preprint. https://doi.org/10.48550/arXiv.2511.06479
Sharvan, M., & Ustenko, A. (2025). Optimization of logistics processes in the supply chain system of the enterprise. Social Development: Economic and Legal Issues, 4. https://doi.org/10.70651/3083-6018/2025.4.20
Woschank, M., Dallasega, P., & Konstantinidis, N. (2025). Integrated logistics management, operational complexity, and cost competitiveness in manufacturing enterprises. Computers & Industrial Engineering, 198, 110329. https://doi.org/10.1016/j.cie.2025.110329
Woschank, M., Dallasega, P., & Konstantinidis, N. (2025). Smart material planning and logistics optimization in Industry 4.0 manufacturing systems: A multidimensional management framework. Computers & Industrial Engineering, 198, 110329. https://doi.org/10.1016/j.cie.2025.110329
Woschank, M., Dallasega, P., & Konstantinidis, N. (2025). Systemic logistics cost management in supply chains: Integrating transportation, warehousing, and inventory decisions for manufacturing competitiveness. Computers & Industrial Engineering, 198, 110329. https://doi.org/10.1016/j.cie.2025.110329
Wulung, R. B. S., Putri, A. N. M., & Purwoko, J. S. (2026). Implementing MRP (Material Requirement Planning) for managing raw material inventory in an Indonesian plastic blown film company. Engineering Innovations, 17, 97–108. https://doi.org/10.4028/p-3MzqP4
Yu, W., Wong, C. Y., Jacobs, M. A., & Chavez, R. (2024). What are the right configurations of just-in-time and just-in-case when supply chain shocks increase? International Journal of Production Economics, 276, 109352. https://doi.org/10.1016/j.ijpe.2024.109352
Yusof, M. S., Rahman, S. N. M. S. A., Seman, S. A., & Zahari, F. M. (2026). The impact of warehouse management systems on supply chain resilience and business competitiveness in a rapidly changing global market. International Journal of Business and Technology Management, 7(2), 332–345. https://doi.org/10.55057/ijbtm.2025.7.2.30
Zheng, D., & Wang, T. (2025). Supply chain resilience, logistics efficiency, and enterprise competitiveness. Finance Research Letters, 79, 107335. https://doi.org/10.1016/j.frl.2025.107335