Enhancing inventory accuracy in dairy industries

Goal: The goal is to analyze the application of Lean Six Sigma and DMAIC in the inventory management of a dairy industry, aiming to optimize inventory accuracy, reduce picking errors, and enhance OTIF performance, thereby improving overall operational efficiency. Design / Methodology / Approach:...

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Main Authors: Francisco Tiago Araújo Barbosa, Maria Silene Alexandre Leite, Mauro Sergio Carneiro Mascarenhas, Rogerio Santana Peruchi
Format: Article
Language:English
Published: Associação Brasileira de Engenharia de Produção (ABEPRO) 2025-07-01
Series:Brazilian Journal of Operations & Production Management
Subjects:
Online Access:https://bjopm.org.br/bjopm/article/view/2439
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author Francisco Tiago Araújo Barbosa
Maria Silene Alexandre Leite
Mauro Sergio Carneiro Mascarenhas
Rogerio Santana Peruchi
author_facet Francisco Tiago Araújo Barbosa
Maria Silene Alexandre Leite
Mauro Sergio Carneiro Mascarenhas
Rogerio Santana Peruchi
author_sort Francisco Tiago Araújo Barbosa
collection DOAJ
description Goal: The goal is to analyze the application of Lean Six Sigma and DMAIC in the inventory management of a dairy industry, aiming to optimize inventory accuracy, reduce picking errors, and enhance OTIF performance, thereby improving overall operational efficiency. Design / Methodology / Approach: This applied and descriptive research adopts an action research strategy, with researchers actively participating in the project's execution. Lean Six Sigma principles and the DMAIC framework were systematically applied to inventory, picking, and supply processes. Statistical validation was conducted using the Z-test for two proportions to confirm the effectiveness of the improvements implemented. Limitations of the investigation: The study focuses on a case analysis in a dairy processing environment; however, the structured methodology adopted allows replication in industries characterized by operational complexity, perishability, or high inventory turnover. Practical implications: The study offers valuable insights for logistics, procurement, and operations professionals. The implemented methodologies led to a 36.63% reduction in inventory discrepancies, resulting in cost savings of R$124,540.56. Additionally, significant improvements were achieved in controlling picking errors and enhancing OTIF performance, underscoring the critical role of structured continuous improvement methodologies in inventory management.         Originality / Value: This research addresses a gap in applied studies on inventory management in the dairy sector, demonstrating the successful application of Lean Six Sigma and DMAIC to achieve substantial operational improvements. The study presents a replicable model for other industries seeking to optimize inventory control, minimize operational errors, and elevate supply chain performance.
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institution Kabale University
issn 2237-8960
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publishDate 2025-07-01
publisher Associação Brasileira de Engenharia de Produção (ABEPRO)
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spelling doaj-art-cbd9a0e4136740d3ab31e894e6bc23a32025-08-20T03:27:37ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Brazilian Journal of Operations & Production Management2237-89602025-07-0122210.14488/BJOPM.2439.2025Enhancing inventory accuracy in dairy industriesFrancisco Tiago Araújo Barbosa0Maria Silene Alexandre Leite1Mauro Sergio Carneiro Mascarenhas2Rogerio Santana Peruchi3Federal University of Paraíba (UFPB), João Pessoa, PB, Brazil.Federal University of Paraíba (UFPB), João Pessoa, PB, Brazil.Federal University of Paraíba (UFPB), João Pessoa, PB, Brazil.Federal University of Paraíba (UFPB), João Pessoa, PB, Brazil. Goal: The goal is to analyze the application of Lean Six Sigma and DMAIC in the inventory management of a dairy industry, aiming to optimize inventory accuracy, reduce picking errors, and enhance OTIF performance, thereby improving overall operational efficiency. Design / Methodology / Approach: This applied and descriptive research adopts an action research strategy, with researchers actively participating in the project's execution. Lean Six Sigma principles and the DMAIC framework were systematically applied to inventory, picking, and supply processes. Statistical validation was conducted using the Z-test for two proportions to confirm the effectiveness of the improvements implemented. Limitations of the investigation: The study focuses on a case analysis in a dairy processing environment; however, the structured methodology adopted allows replication in industries characterized by operational complexity, perishability, or high inventory turnover. Practical implications: The study offers valuable insights for logistics, procurement, and operations professionals. The implemented methodologies led to a 36.63% reduction in inventory discrepancies, resulting in cost savings of R$124,540.56. Additionally, significant improvements were achieved in controlling picking errors and enhancing OTIF performance, underscoring the critical role of structured continuous improvement methodologies in inventory management.         Originality / Value: This research addresses a gap in applied studies on inventory management in the dairy sector, demonstrating the successful application of Lean Six Sigma and DMAIC to achieve substantial operational improvements. The study presents a replicable model for other industries seeking to optimize inventory control, minimize operational errors, and elevate supply chain performance. https://bjopm.org.br/bjopm/article/view/2439DMAIC Quality toolsInventory management OTIF (On Time In Full)
spellingShingle Francisco Tiago Araújo Barbosa
Maria Silene Alexandre Leite
Mauro Sergio Carneiro Mascarenhas
Rogerio Santana Peruchi
Enhancing inventory accuracy in dairy industries
Brazilian Journal of Operations & Production Management
DMAIC
Quality tools
Inventory management
OTIF (On Time In Full)
title Enhancing inventory accuracy in dairy industries
title_full Enhancing inventory accuracy in dairy industries
title_fullStr Enhancing inventory accuracy in dairy industries
title_full_unstemmed Enhancing inventory accuracy in dairy industries
title_short Enhancing inventory accuracy in dairy industries
title_sort enhancing inventory accuracy in dairy industries
topic DMAIC
Quality tools
Inventory management
OTIF (On Time In Full)
url https://bjopm.org.br/bjopm/article/view/2439
work_keys_str_mv AT franciscotiagoaraujobarbosa enhancinginventoryaccuracyindairyindustries
AT mariasilenealexandreleite enhancinginventoryaccuracyindairyindustries
AT maurosergiocarneiromascarenhas enhancinginventoryaccuracyindairyindustries
AT rogeriosantanaperuchi enhancinginventoryaccuracyindairyindustries