UM ESTUDO SOBRE AS ETAPAS DO PROCESSO DE MOVIMENTAÇÃO DE MATERIAIS EM UMA ORGANIZAÇÃO INDUSTRIAL DE MANAUS, BRASIL
DOI:
https://doi.org/10.61164/rmnm.v9i1.3917Palavras-chave:
Movimentação de materiais, Equipamentos de movimentação, Funcionalidade de equipamentos de movimentação, Logística interna, Logística na AmazôniaResumo
Este estudo analisou as etapas do processo de movimentação de materiais praticados por uma indústria que atua no polo industrial de Manaus. Utilizou o método de levantamento, cujos dados foram coletados com o auxílio de um roteiro de entrevista semiestruturado e outro roteiro para observar o funcionamento do processo selecionado para estudo, ambos construídos com base na arquitetura teórica elaborada com base na revisão da literatura. Os resultados mostraram que a) o processo de movimentação de materiais praticados é composto por oito etapas, com a primeira sendo executado fora da área de armazenagem, b) os equipamentos utilizados para a movimentação são utilizados em subetapas específicas para realizar atividades também específicas e c) as funcionalidades dos equipamentos utilizados estão associadas com os esforços de manter a integridade das matérias-primas e produtos ao mesmo tempo em que contribuiem para racionalizar o processo produtivo. A conclusão mostra que a prática do processo de movimentação de materiais contraria a arquitetura teórica elaborada, tanto na primeira quanto na última etapa.
Referências
ABDULLAH, S. M.; AB WAHAB, L.; AZMI, W. F. W.; SYED, S. A. H. Challenges in material management for heritage building conservation in Malacca's UNESCO world heritage site. International Journal of Research and Innovation in Social Science, v. 8, n. 10, p. 3315-3328, 2024. https://dx.doi.org/10.47772/IJRISS.2024.8100280 .
AJITH, V.; ARUMUGAPRABU, V.; RAMALAKSHMI, R.; INDUMATHI, N. Study on work posture assessment using RODGERS smart form in Indian firework industries. In CHAKRABARTI, A.; SUWAS, S.; ARORA, M. (eds.) Industry 4.0 and advanced manufacturing: Proceedings of I-4AM 2022. Singapore: Springer Nature, 2022, p. 437-447.
ARIQ, A. N. et al.. Optimizing the facility layout and material handling system using the systematic layout planning method: A case study at PT EDS manufacturing Indonesia. Proceedings of the International Conference on Industrial Engineering and Operations Management, 14thAnnual International Conference on Industrial Engineering and Operations Management, Dubai, United Arab Emirates, February 12-14, 2024. https://doi.org/10.46254/AN14.20240495.
ASSIS, T. F.; ABREU, V. H. S.; MARUJO, L. G.; D’AGOSTO, M. A. Best practices applied in logistic intern: From the perspective of reducing the carbon footprint. In In MUTHU, S. S. (ed.) Carbon footprint assessments: Case studies; best practices. Cham: Springer Nature, 2024, p. 313-336.
ATEŞ, O. Inplant logistics issues and methologies analysis: Case study. International Journal of New Findings in Engineering, Science and Technology, v. 2, n. 1, p. 47-53, 2024. https://doi.org/10.61150/ijonfest.2024020106.
BLANCHARD, E. et al. Planning the tasks of an autonomous mobile robot fleet for internal logistics of production systems. In THÜRER, M. et al. (eds.) IFIP International Conference on Advances in Production Management Systems. Cham: Springer Nature, 2024, p. 474-488.
BOYLE, M. S. The arts of logistics: Artistic production in supply chain capitalism. Redwood City: Stanford University Press, 2024.
CHAKRABORTY, S.; CHATTERJEE, P.; DAS, P. P. Multi-criteria decision-making methods in manufacturing environments. New York: Apple Academic Press, 2023.
CIRILLO, V. et al. Monopoly power upon the world of work: A workplace analysis in the logistics segment under automation. Review of Political Economy, p. 1-33, 2024. https://doi.org/10.1080/09538259.2024.2419611.
COSTA, A. et al. Integration of reverse logistics and continuous improvement in Portuguese industry: Perspectives from a qualitative survey. Sustainability, v. 17, n. 9, p. 4056, 2025. https://doi.org/10.3390/su17094056.
DUAN, Z. Prepayment model of supply chain financing based on internet of things and machine learning algorithm. Computational Intelligence and Neuroscience, n. 1, p. 9320692, 2022. https://doi.org/10.1155/2022/9320692.
DURAND, J. U. Productivity increase through the application of Lean, TQM and SLP TOOLS in the Peruvian craft brewery cluster. In 7th North American International Conference on Industrial Engineering and Operations Management. Orlando, Florida, USA, June 12-14, 2022.
FRAGAPANE, G. I. Autonomous material transportation in hospital intralogistics. 2021. Tese (Doutorado em Ciência e Tecnologia), Norwegian University of Science and Technology. Noruega.
FREIBERG, F.; SCHOLZ, P. Evaluation of investment in modern manufacturing equipment using discrete event simulation. Procedia Economics and Finance, v. 34, p. 217-224, 2015. https://doi.org/10.1016/S2212-5671(15)01622-6.
JAVAT, M. R.; TAWADE, S. V. Design and manufacturing of material handling robot having XY gantry mechanism. International Journal of Advanced Research in Science, Communication and Technology, v. 3, n. 3, p. 450-458, 2023. https://doi.org/10.48175/568.
KARANDIKAR, V.; SANE, S.; PULKURTE, R. Improvement in line feeding system in assembly plant using lean manufacturing techniques. International Journal of Current Engineering and Technology, v. 4, n. 3, p. 1-6, 2014.
KASHIRIPOOR, M. M. Fourth wave technologies in construction and architecture: from idea to realization (Part 1: Basic understanding, definition and historical events). Urban construction and architecture, v. 14, n. 2, p. 133-142, 2024. https://doi.org/10.17673/Vestnik.2024.02.17.
KULKARNI, A. et al. CRISPR-based precision molecular diagnostics for disease detection and surveillance. ACS Applied Bio Materials, v. 6, n. 10, p. 3927-3945, 2023. https://doi.org/10.1021/acsabm.3c00439.
MIKKELSEN, A. V.; DAHL, A. H. Cloud material handling system-leveraging dynamic dispatching and reinforcement learning in a cloud-enabled shopfloor material handling system. 2021. Dissertação (Mestrado em Ciência e Tecnologia), Norwegian University of Science and Technology, Noruega.
MONTENEGRO, S. C.; VELOSO, J. S.; NASCIMENTO-E-SILVA, D. Analysis of application of artificial intelligence in material storage: A bibliographical study. Revista Multidisciplinar do Nordeste Mineiro, v. 2, n, 1, p. 1–28, 2025. https://doi.org/10.61164/rmnm.v2i01.3491.
MOSHEBAH, O. Y.; RODRÍGUEZ-GONZÁLEZ, S.; GONZÁLEZ, A. D. A max–min fairness-inspired approach to enhance the performance of multimodal transportation networks. Sustainability, v. 16, n. 12, p. 4914, 2024. https://doi.org/10.3390/su16124914.
MUEHLBAUER, K.; MEISSNER, S.; BAEUML, S. Current state of process automation in internal logistics: a Germany-wide expert survey. International Journal of Logistics Systems and Management, v. 49, n. 3, p. 372-388, 2024. https://doi.org/10.1504/IJLSM.2024.142617.
NAHR, J. G.; ZAHEDI, M. Modeling of the supply chain of cooperative game between two tiers of retailer and manufacturer under conditions of uncertainty. International Journal of Research in Industrial Engineering, v. 10, n. 2, 95-116, 2021. https://doi.org/10.22105/riej.2021.276520.1190.
NASCIMENTO-E-SILVA, D. O método científico-tecnológico: edição sintética. Florianópolis, DNS Editor, 2020.
NASCIMENTO-E-SILVA, D. O método científico-tecnológico: fundamentos. Manaus, DNS Editor, 2021a.
NASCIMENTO-E-SILVA, D. O método científico-tecnológico: questões de pesquisa. Manaus, DNS Editor, 2021b.
NASCIMENTO-E-SILVA, D. Handbook of the scientific-technological method: Synthetic edition. Manaus, DNS Editor, 2021c.
NASCIMENTO-E-SILVA, D. O método científico-tecnológico: coleta de dados. Manaus, DNS Editor, 2023.
NEUMANN, J. et al.Techno-economic assessment of long-distance supply chains of energy carriers: Comparing hydrogen and iron for carbon-free electricity generation. Applications in Energy and Combustion Science, v. 14, p. 100128, 2023. https://doi.org/10.1016/j.jaecs.2023.100128.
ONWUDE, D. I.; ABDULSTTER, R.; GOMES, C.; HASHIM, N. Mechanisation of large‐scale agricultural fields in developing countries–a review. Journal of the Science of Food and Agriculture, v. 96, n. 12, p. 3969-3976, 2016. https://doi.org/10.1002/jsfa.7699.
RAJABI, S. et al. Efficient utilization of remelt strategy for improving relative density and surface integrity to eliminate the necessity of performing post-processing of additively manufactured 316L stainless steel. Prog Addit Manuf, v. 10, p. 309–326, 2025. https://doi.org/10.1007/s40964-024-00624-x.
SARKIS, J. The Palgrave handbook of supply chain management. Cham: Palgrave Macmillan, 2024.
SATHEES, T.; LOKESHWARAN, N.; MANIGANDAN, N. Productivity improvement by optimizing tow truck material movement in manufacturing plant. Scientific Hub of Applied Research in Engineering; Information Technology, v. 2, n. 1, p. 13-15, 2022. https://doi.org/10.53659/shareit.v2i1.16.
SRIVASTAV, D.; KUSHWAHA, A. K.; FAIZAN, M.; SHARMA, V. K. Introduction to the flexible manufacturing system in Industry 4.0. In SHARMA, V. K. et al. (eds.) Additive manufacturing in Industry 4.0. Boca Raton? CRC Press, 2022, p. 1-25.
SUN, Y. et al. Uncovering the interactions between the enterprise AI transformation, supply chain concentration, and corporate risk-taking capacity. IEEE Transactions on Engineering Management, 2024. https://doi.org/10.1109/TEM.2024.3411631.
TANIA, T. L.; SINAMBELA, E. A. Sustainable tourism: Policy directions. Bulletin of Science, Technology and Society, v. 1, n. 1, p. 11-14, 2022.
THEODARA, N. A.; DARMAWAN, D.; PUTRA, A. R. Material management effectiveness. Bulletin of Science, Technology and Society, 1(1), 7-10, 2022.
TUBIS, A. The new paradigm of risk in internal transport supporting logistics 4.0 system. Cham: Springer Nature, 2024.
VAN HOEK, R.; WONG, C. Y. Transformative and disruptive or incremental time wrinkles? How to advance thinking and practice in supply chain sustainability, risk management and digitalization. International Journal of Physical Distribution; Logistics Management, v. ahead-of-print, n. ahead-of-print, 2025. https://doi.org/10.1108/IJPDLM-12-2024-0473.
VELOSO, J. S.; NASCIMENTO-E-SILVA, D. A study on the application of artificial intelligence in material movement based on scientific publications. Revista Multidisciplinar do Nordeste Mineiro, v. 1, n. 1, p. 1–13, 2025. https://doi.org/10.61164/rmnm.v1i1.3420.
WOJTCZUK, K. Cost accounting of dangerous goods logistics. Gospodarka Materiałowa i Logistyka, v. 86, n. 4, p. 61-71, 2024. https://doi.org/10.33226/1231-2037.2024.4.6.
XU, L.; WANG, L.; GUAN, X. Design strategy and software implementation of material handling system. In ICLEM 2010: Logistics for Sustained Economic Development: Infrastructure, Information, Integration, p. 3699-3704, 2012. https://doi.org/10.1061/41139(387)515.
YAACOB, M. A.; ZANGGI, B. M.; YUSRI, N. A. Storage equipment for Woodstock assembly line. Borneo Engineering; Advanced Multidisciplinary International Journal, v. 2, n. esp., 140-147, 2023.
YAZID, N. A.; SABTU, N. I.; AZMIRAL, N. U. S.; MAHAD, N. F. The application of critic-topsis method in solving the material handling equipment selection problem. Malaysian Journal of Computing (MJoC), v. 8, n. 1, p. 1311-1330, 2023. https://doi.org/10.24191/mjoc.v8i1.16976.
ZUBAIR, M.; MAQSOOD, S.; OMAIR, M.; NOOR, I. Optimization of material handling system through material handling equipment selection. International Journal of Progressive Sciences and Technologies, v. 15, n. 2, p. 235-243, 2019.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2025 Revista Multidisciplinar do Nordeste Mineiro
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
