IMPACTO DO PLANEJAMENTO DE MATERIAIS NA REDUÇÃO DE CUSTOS LOGÍSTICOS NA INDÚSTRIA MANUFATUREIRA
DOI:
https://doi.org/10.56238/revgeov17n5-095Palavras-chave:
Planejamento de Materiais, Custos Logísticos, Indústria Manufatureira, Gestão de EstoquesResumo
O estudo analisa o impacto do planejamento de materiais na redução de custos logísticos dentro da indústria manufatureira, destacando o papel estratégico de ferramentas como o Material Requirements Planning (MRP). Por meio de uma abordagem quantitativa, correlacional e transversal aplicada a 32 empresas manufatureiras de Guanajuato, avaliou-se a relação entre a gestão de materiais, os estoques, o transporte e o armazenamento. Os resultados evidenciaram que um planejamento adequado de materiais contribui significativamente para a redução dos custos logísticos, otimização dos estoques, diminuição da obsolescência e melhoria da coordenação operacional. Além disso, identificou-se que a sincronização entre abastecimento, produção e distribuição favorece a eficiência organizacional. No entanto, ainda persistem limitações na redução de transportes urgentes e na integração logística total. Conclui-se que o planejamento de materiais constitui um elemento estratégico para fortalecer a competitividade e a resiliência das organizações manufatureiras.
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Referências
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