Load scheduling: challenges and process improvements in food industry inbound logistics
- Authors
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Francisco Tiago Araújo Barbosa
Universidade Federal da Paraíba – UFPB - Departamento de Engenharia de Produção
Author
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Author
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Luiz Moreira Coelho Junior
Universidade Federal da Paraíba – UFPB - Departamento de Engenharia de Energias Renováveis
Author
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Rogério Santana Peruchi
Universidade Federal da Paraíba – UFPB - Departamento de Engenharia de Produção
Author
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- Keywords:
- Coefficient of Variation, Inbound Logistics, Goods Receiving, Quality Tools
- Abstract
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The dairy industry is an important activity for Brazil, generating around 82 billion and responsible for the consumption of a large part of the milk produced in the country. The scheduling of loads for receipt is an important process for the planning of inbound logistics, playing a fundamental role in the performance of the supply chain in dairy products. This study aimed to analyze the process of scheduling loads in a dairy supply chain from January 2024 to December of the same year, to evaluate the performance of suppliers and propose an action plan to solve the identified problems. The methodology was a single case with a qualitative-quantitative approach, exploratory and descriptive objectives, and applied nature. The results show that the lack of scheduling increases operational problems, misuse of resources, people, and operating time, which generate increased costs. They also highlight the lack of communication between customer and supplier, compromising the process. In this way, the establishment of indicators such as the coefficient of variation and the adoption of planned schedules contribute to the optimization of processes and the mitigation of risks, considerably improving the efficiency of inbound logistics.
- Author Biographies
- References
-
Ali, A., et al. (2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Management, 22(1), 16-39. https://doi.org/10.1108/SCM-06-2016-0197
Ballou, R. H. (2006). A evolução e o futuro da logística e do gerenciamento da cadeia de suprimentos. Production, 16, 375-386. Recuperado de https://www.scielo.br/j/prod/a/MFgkvJ5HcbtHbHVdn9WCzws/?format=pdf&lang=en
Barbosa, F. T. A., Peruchi, R. S., Morioka, S. N., & Junior, P. R. (2023). Lean, six sigma and sustainability case studies on supply chain management: a systematic literature review. Revista de Gestão e Secretariado, 14(9), 15509-15536. https://doi.org/10.7769/gesec.v14i9.2806
Barbosa, F. T. A., de Oliveira Batista, M. R., de Almeida, M. C., Gerais, M., & Peruchi, R. S. (2024). Maximizing efficiency: A aplicação do indicador OTIF no abastecimento de insumos em uma empresa de beneficiamento de alimentos. XLIV Encontro Nacional de Engenharia de Produção: Reindustrialização no Brasil, Porto Alegre, Rio Grande do Sul, Brasil, 22 a 25 de outubro de 2024. Recuperado de https://www.abepro.org.br/biblioteca/TN_ST_412_2024_47621.pdf
Barbosa, F. T. A., Mascarenhas, M. S. C., Moreira de Assis, E. J. M., Ribeiro, J. M., & Matos, J. P. C. (2023). Seleção e aplicação de indicadores de desempenho na logística inbound de uma empresa de alimentos: Estudo de caso aplicado. V Simpósio Nacional de Engenharia de Produção, Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brasil, 24 a 26 de outubro de 2023. Recuperado de file:///C:/Users/Francisco%20Barbosa/Downloads/1937-4434-1-PB%20(2).pdf
Barbosa, F. T. A., Silva, É. R., Pelogio, E. A., Almeida, M. C., & Peruchi, R. S. (2024). Indicador de desempenho na liberação de cargas: Estudo de caso na logística de recebimento com testes de laboratório. In ENEGEP 2024 - Encontro Nacional de Engenharia de Produção, Porto Alegre, RS, Brasil. Recuperado de https://www.abepro.org.br/biblioteca/TN_ST_412_2024_47631.pdf
Biswas, A. K., Arsalan, A., Jangir, A., Swami, S., Rahman, C. F., Bora, B., ... & Naveena, B. M. (2024). Unveiling citrate synthase enzyme as potential biomarker in developing a rapid method for monitoring of chilled and defrosted buffalo meat in supply chain. Journal of Food Composition and Analysis, 132, 106360. https://doi.org/10.1016/j.jfca.2024.106360
Carvalho, R., Lobo, M., Oliveira, M., Oliveira, A. R., Lopes, F., Souza, J., ... & Freitas, A. (2021). Analysis of root causes of problems affecting the quality of hospital administrative data: A systematic review and Ishikawa diagram. International journal of medical informatics, 156, 104584. https://doi.org/10.1016/j.ijmedinf.2021.104584
Carvalhaes, B. B., Calmon, J. L., Vieira, D. R., & Bravo, A. S. (2024). Life cycle assessment of freight railroads: a critical analysis and guideline proposal. Brazilian Journal of Production Engineering, 10(2), 296-310. https://doi.org/10.47456/bjpe.v10i2.44372
Chajakis, E. D. & Guignard, M. (2003). Scheduling deliveries in vehicles with multiple compartments. Journal of Global Optimization, 26(1), 43-78. https://doi.org/10.1023/A:1023067016014
Chiu, Y., Yan, T., Chiu, S., Wang, H., & Chiu, T. (2023). Impact of dual uptime-reducing strategies, postponement, multi-delivery, and rework on a multiproduct fabrication-shipping problem. International Journal of Industrial Engineering Computations, 14(2), 323-340. http://dx.doi.org/10.5267/j.ijiec.2023.1.001
Chen, N., Kang, W., Kang, N., Qi, Y., & Hu, H. (2022). Order processing task allocation and scheduling for E-order fulfilment. International Journal of Production Research, 60(13), 4253-4267. https://doi.org/10.1080/00207543.2021.2018140
Chopra, S., Meindl, P., & Kalra, D. V. (2013). Supply chain management: strategy, planning, and operation (232). MA: Pearson Boston. Christopher, M. (2016). Logistics and Supply Chain Management: Logistics & Supply Chain Management. Pearson UK.
Coşkun, A. E. & Erturgut, R. (2024) How Do Uncertainties Affect Supply-Chain Resilience? The Moderating Role of Information Sharing for Sustainable Supply Chain Management. Sustainability, 16, 131. https://doi.org/10.3390/su16010131
Christopher, M. (2016). Logistics and Supply Chain Management: Logistics & Supply Chain Management. Pearson UK.
Cunha, K. C. T. & Mazieri, M. R. (2024). Intelligent packaging and value generating: Technological development opportunities based on Patent Analysis. World Patent Information, 76, 102258. https://doi.org/10.1016/j.wpi.2023.102258
Dresch, A., Lacerda, D. P., & Miguel, P. A. C. (2015). Uma análise distintiva entre o estudo de caso, a pesquisa-ação ea design science research. Revista Brasileira de Gestão de Negócios, 17(56), 1116-1133. https://doi.org/10.7819/rbgn.v17i56.2069
Ensslin, L. & Vianna, W. B. (2008). O design na pesquisa quali-quantitativa em engenharia de produção–questões epistemológicas. Revista Produção Online, 8(1). https://doi.org/10.14488/1676-1901.v8i1.28
Feriotti, M. A., Neto, E. F. L., Formigoni, A., & Neto, J. M. (2023). Melhoria do processo de fresamento de dentes de engrenagem: estudo de caso em uma pequena empresa. Brazilian Journal of Production Engineering, 9(2), 127-142. https://doi.org/10.47456/bjpe.v9i2.39929
GoFusion. (2024). O papel do agendamento de carga na logística moderna. GoFusion. https://gofusion.com.br/o-papel-do-agendamento-de-carga-na-logistica-moderna/
López-Castro, L. F., Solano-Charris, E. L., & Pagès-Bernaus, A. (2023). Environmental approach for the design of raw milk collection routes with a heterogeneous fleet. Computers and Electronics in Agriculture, 211, 107995. https://doi.org/10.1016/j.compag.2023.107995
Maçada, A. C. G., Feldens, L. F., & Santos, A. M. D. (2007). Impacto da tecnologia da informação na gestão das cadeias de suprimentos: um estudo de casos múltiplos. Gestão & Produção, 14, 1-12. https://doi.org/10.1590/S0104-530X2007000100002
Mahpour, A., Nazifi, A., & Mohammadian Amiri, A. (2021). Development of optimization model to reduce unloading and loading time at berth in container ports. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 1-10. https://doi.org/10.1007/s40996-021-00590-2
Matsuyama, S. & Chaves, G. D. L. D. (2024). O impacto das medidas de performance no fortalecimento da resiliência das cadeias de suprimentos: uma revisão. Brazilian Journal of Production Engineering, 10(4), 170-188. https://doi.org/10.47456/bjpe.v10i4.46012
Miguel, P. A. C. (2007). Estudo de caso na engenharia de produção: estruturação e recomendações para sua condução. Production, 17, 216-229. https://doi.org/10.1590/S0103-65132007000100015
NAVES, J. de O. S., et al. (2010). Automedicação: uma abordagem qualitativa de suas motivações. Ciência & Saúde Coletiva, 15, 1751-1762. Recuperado de https://www.scielosp.org/pdf/csc/2010.v15suppl1/1751-1762/pt
Nascimento, L. F. & Cavalcante, M. M. D. (2018). Abordagem quantitativa na pesquisa em educação: investigações no cotidiano escolar. Revista Tempos e Espaços em Educação, 11(25), 9. https://doi.org/10.20952/revtee.v11i25.7075
Nicholson, C. F., Gómez, M. I., & Gao, O. H. (2011). The costs of increased localization for a multiple-product food supply chain: Dairy in the United States. Food Policy, 36(2), 300-310. https://doi.org/10.1016/j.foodpol.2010.11.028
Nico, W. A., Feu, T. O., Gonçalves, W., & Xavier, T. P. (2018). Programa de melhoria baseado na metodologia lean seis sigma: uma proposta em um processo produtivo de chapas de granito. Brazilian Journal of Production Engineering, 4(1),31-49. Recuperado de https://periodicos.ufes.br/bjpe/article/view/v4n1_3
Nunes, P. D. S. A., de Souza, K. I., Bezerra, C. A., & Silva, Y. L. T. V. (2023). Mapeamento e análise da cadeia de suprimentos: um estudo de caso na indústria calçadista. Brazilian Journal of Production Engineering, 9(2), 99-112. https://doi.org/10.47456/bjpe.v9i2.40869
Oliveira, G. V., de Oliveira, M., dos Santos, A. G., Moura, R. R., & da Fonseca Junior, L. A. (2023). Aplicação do Business Intelligence na gestão da cadeia de suprimentos. Brazilian Journal of Production Engineering, 9(5), 60-69. https://doi.org/10.47456/bjpe.v9i5.42709
Paciarotti, C. & Torregiani, F. (2021). The logistics of the short food supply chain: A literature review. Sustainable Production and Consumption, 26, 428-442. https://doi.org/10.1016/j.spc.2020.10.002
Park, J. H. & Park, S. C. (2003). Agent-based merchandise management in business-to-business electronic commerce. Decision Support Systems, 35(3), 311-333. https://doi.org/10.1016/S0167-9236(02)00111-2
Polat, O., Kalayci, C. B., & Topaloğlu, D. (2022). Modelling and solving the milk collection problem with realistic constraints. Computers & Operations Research, 142, 105759. https://doi.org/10.1016/j.cor.2022.105759
Pilati, F. & Di Stradis, F. (2024). Social procurement practices in food logistics: A case study of a South European food processing company. Journal of Cleaner Production, 434, 140244. https://doi.org/10.1016/j.jclepro.2023.140244
Ribeiro, A. Á. G., Neves, C. A., Fernandes, D. A., Mejolaro, F. L., Chagas, S. S., & Silva, V. R. D. (2017). Alternativas aos desafios enfrentados na movimentação de cargas de/para Manaus: um estudo de caso de uma empresa do setor de transporte rodo-fluvial de cargas.
Rico, W. A., Feu, T. O., Gonçalves, W., & Xavier, T. P. (2018). Programa de melhoria baseado na metodologia lean seis sigma: uma proposta em um processo produtivo de chapas de granito. Brazilian Journal of Production Engineering, 4(1), 31-49. Recuperado de https://periodicos.ufes.br/bjpe/article/view/v4n1_3
Sanz, A. & Meyer, P. (2024). Electrifying the Last-Mile Logistics (LML) in Intensive B2B Operations-An European Perspective on Integrating Innovative Platforms. Logistics, 8(2), 45. https://doi.org/10.3390/logistics8020045
Sawyerr, E. & Harrison, C. (2020). Developing resilient supply chains: lessons from high-reliability organizations. Supply Chain Management, 25(1),77-1000. https://doi.org/10.1108/SCM-09-2018-0329
Somsai, T., Pongcharoen, P., & Hicks, C. (2024). Optimizing sustainable multimodal distribution networks in the context of carbon pricing, with a case study in the Thai sugar industry. Energy, 131273.https://doi.org/10.1016/j.energy.2024.131273
Sharma, A., Gupta, G., Sharma, D., Diwan, H., Pasricha, S., Kamboj, M., & Mehta, A. (2023). Application of lean methodology to frozen section workflow–an audit of present practices at a single large oncology center. Annals of Diagnostic Pathology, 65, 152148.https://doi.org/10.1016/j.anndiagpath.2023.152148
Taheri, F. & Taft, A. F. (2024). Reliable scheduling and routing in robust multiple cross-docking networks design. Engineering Applications of Artificial Intelligence, 128, 107466. https://doi.org/10.1016/j.engappai.2023.107466
Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2023). Integrating blockchain, RFID and IoT within a cheese supply chain: A cost analysis. Journal of Industrial Information Integration, 34, 100486. https://doi.org/10.1016/j.jii.2023.100486
Vigorena, D. A. L. & Battisti, P. S. S. (2011). Procedimentos de coleta de dados em trabalhos de conclusão do curso de Secretariado Executivo da Unioeste/PR. Secretariado Executivo em Revist@, 7. Recuperado de https://seer.upf.br/index.php/ser/article/view/2329
Wang, W., Liu, H., Tian, Q., Xia, Z., Liu, S., & Peng, Y. (2024). An enhanced variable neighborhood search method for refrigerated container stacking and relocation problem with duplicate priorities. Transportation Research Part E: Logistics and Transportation Review, 188, 103643. https://doi.org/10.1016/j.tre.2024.103643
Yin, R. K. (2015). Estudo de Caso-: Planejamento e métodos. Bookman editora.
Zhou, Y., Du, S., Liu, M., & Shen, X. (2024). Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system. Journal of Manufacturing Systems, 73, 143-158. https://doi.org/10.1016/j.jmsy.2024.01.010
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Copyright (c) 2025 Francisco Tiago Araújo Barbosa, Mauro Sergio Carneiro Mascarenhas, Luiz Moreira Coelho Junior, Rogério Santana Peruchi (Autor)

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