Load scheduling: challenges and process improvements in food industry inbound logistics

Authors
Keywords:
Coefficient of Variation, Inbound Logistics, Goods Receiving, Quality Tools
Abstract

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
  1. Francisco Tiago Araújo Barbosa, Universidade Federal da Paraíba – UFPB - Departamento de Engenharia de Produção

    Black Belt in Lean Six Sigma, graduated in Logistics from Faculdade Maurício de Nassau - Campina Grande - 2014; MBA (Postgraduate) Financial Management, Audit and Controllership, MBA (Postgraduate) Operational Management and Business Logistics from Universidade Norte do Paraná (Postgraduate) MBA Business Process Management BPM, MBA (Postgraduate) Lean Management and Soft Skills, Faculdade Nossa Senhora de Lourdes, FNSL, Master's student in Production and System Engineering at the Federal University of Paraíba, research line Lean Six Sigma applied to Logistics. Research areas: Lean Six Sigma, Supply Chain and integrated logistics. He has professional experience in companies: Jorge Batista, Camargo Correia, Transportadora Ramos, Carajás Home Center, Casa da Construção, Bezerra Oliveira Distribuidor, currently a logistics specialist for Laticínio Belo Vale. Experience in the Administration area, with an emphasis on Logistics, shipping, storage, handling and receiving sectors, supply management, responsible for keeping records of all counts carried out in stocks, dealing with the bureaucratic part of the procedures, verifying incoming and outgoing transactions , adjustments, transfer of goods between departments and companies, check unit costs, working on verticalization and process optimization, support to the purchasing sector with evaluation and suggestion, supplies, administrative and production.

  2. Mauro Sergio Carneiro Mascarenhas, Laticínio Belo Vale

    Yellow Belt in Lean Six Sigma, graduating in Administration from Faculdade Unopar - Sousa - PB; currently Warehouse assistant at Laticínio Belo Vale. Experience in the Warehouse area, with emphasis on stock inventory, analysis and treatment of anomalies, movement and receipt, supply management, verification of incoming and outgoing transactions, transfer of goods between departments.

  3. Luiz Moreira Coelho Junior, Universidade Federal da Paraíba – UFPB - Departamento de Engenharia de Energias Renováveis

    He holds a degree in Economics (2001) from Vila Velha University - UVV, a master's degree (2004) and a doctorate (2010) in Forestry Engineering from the Federal University of Lavras - UFLA. He was a planning, budget and management analyst at the Institute of Agricultural and Forestry Defense - IDAF (2006-2007), a volunteer professor at the Department of Forestry Sciences at UFLA (2008), a substitute professor at the Department of Economics at the Federal University of São João del-Rei - UFSJ (2008-2009) and a Researcher B in Socioeconomics at the Agronomic Institute of Paraná - IAPAR (2010-2013). Since 2013, he has been a professor at the Department of Renewable Energy Engineering, at the Center for Alternative and Renewable Energies, at the Federal University of Paraíba (UFPB). In 2013, he submitted the APCN/CAPES of the Postgraduate Program in Renewable Energies (PPGER) in which the academic master's degree was recommended by CTC/CAPES and served as coordinator of PPGER (2013-2017). He is a CNPq Research Productivity Scholarship - PQ 2 of COSAE AE in Economics (2022-2025). He is the coordinator of the Low Carbon Economy Laboratory (LECO2) at UFPB and a member of the International Mixed Laboratory of Artificial Intelligence, Data Analysis and Earth Observation applied to Sustainability (LMI IDEAL), a partnership between UFPB (Brazil) and IDR (France). He has experience in environment, economics and energy use, in the area of ​​Applied Economics and Economic Engineering. He works mainly on the themes: Low carbon economy, market study and decision making (stochastic and deterministic), regional and spatial economics.

  4. Rogério Santana Peruchi, Universidade Federal da Paraíba – UFPB - Departamento de Engenharia de Produção

    Pesquisador nível 2 do Conselho Nacional de Desenvolvimento Científico e Tecnológico (2018-Atual). Professor Adjunto do Departamento de Engenharia de Produção, Centro de Tecnologia - Universidade Federal da Paraíba (2016-Atual). Atuou como Coordenador do Programa de Pós-Graduação em Engenharia de Produção e Sistemas (2023-2024). Atuou como Professor Adjunto e Coordenador de Pesquisa pela Faculdade de Engenharia da Universidade Federal de Goiás - Regional Catalão (2015-2016). Pós-Doutor em Engenharia de Produção pela Universidade Federal de Itajubá (2014-2015). Doutor em Engenharia de Produção pela Universidade Federal de Itajubá (2011-2014) com período sanduíche na University of Tennessee at Knoxville (2012-2013). Possui graduação em Engenharia de Produção Mecânica (2006-2009) e mestrado em Engenharia de Produção (2010-2011) pela Universidade Federal de Itajubá. Possui experiência em Engenharia de Processos no setor automotivo. Tem conduzido pesquisa científica, pelos Programas de Pós-Graduação em Energias Renováveis e Engenharia de Produção e Sistemas, nas áreas de Processos de Energias Renováveis, Seis Sigma, Gestão da Qualidade, Controle Estatístico de Processos, Análise de Sistemas de Medição, Modelagem e Otimização Multiobjetivo. http://lattes.cnpq.br/2633968496533807

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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Published
2025-04-25
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LOGISTICS
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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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Barbosa, F. T. A., Mascarenhas, M. S. C., Coelho Junior, L. M., & Peruchi, R. S. (2025). Load scheduling: challenges and process improvements in food industry inbound logistics. Brazilian Journal of Production Engineering, 11(2), 10-25. https://doi.org/10.47456/bjpe.v11i2.47403