<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Coleção:</title>
  <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/24099" />
  <subtitle />
  <id>https://repositorio.ufba.br/handle/ri/24099</id>
  <updated>2026-05-15T16:45:17Z</updated>
  <dc:date>2026-05-15T16:45:17Z</dc:date>
  <entry>
    <title>Integração dos princípios do lean office e lean 4.0 na gestão acadêmico-administrativa: uma análise da percepção de valor dos estudantes de pós-graduação</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/44483" />
    <author>
      <name>Pereira, Tatiane dos Reis Silva Woytysiak</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/44483</id>
    <updated>2026-05-12T18:25:10Z</updated>
    <published>2025-11-06T00:00:00Z</published>
    <summary type="text">Título: Integração dos princípios do lean office e lean 4.0 na gestão acadêmico-administrativa: uma análise da percepção de valor dos estudantes de pós-graduação
Autor(es): Pereira, Tatiane dos Reis Silva Woytysiak
Primeiro Orientador: Barbosa, Ava Santana
Abstract: The main objective of this study is to investigate how the integration of Lean Office principles and Industry 4.0 digital technologies can contribute to improving the quality and efficiency of academic and administrative management at higher education institutions, focusing on graduate students' perceptions of value. The research is based on the premise that the student experience is influenced by value attributes that can be optimized through lean practices and digital technologies. The methodology adopted is both qualitative and quantitative, involving a focus group followed by the administration of structured questionnaires and multivariate statistical analysis, highlighting the use of Principal Component Analysis  to identify the latent structure of perceived value attributes. The data collected allowed us to map relevant dimensions of the academic and administrative experience, such as agility, reliability, accessibility, and personalized services. The results reveal that  incorporating Lean 4.0 practices can promote significant gains in institutional efficiency, academic sustainability, and student satisfaction.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>2025-11-06T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Estudo do estágio de maturidade da cultura de segurança de uma rede de revendas de GLP em Salvador - Bahia</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/44099" />
    <author>
      <name>Mendes, Allen Greyson Gomes</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/44099</id>
    <updated>2026-02-25T19:46:28Z</updated>
    <published>0004-02-01T00:00:00Z</published>
    <summary type="text">Título: Estudo do estágio de maturidade da cultura de segurança de uma rede de revendas de GLP em Salvador - Bahia
Autor(es): Mendes, Allen Greyson Gomes
Primeiro Orientador: Gonçalves Filho, Anastácio Pinto
Abstract: The Liquefied Petroleum Gas (LPG) distribution industry in Brazil faces significant challenges regarding operational safety, particularly within reseller networks. Despite the product’s importance for the national energy matrix and both residential and commercial supply, incidents related to inadequate handling, lack of standardized procedures, and the low maturity level of safety culture are still recurrent in part of the sector. In this context, the present study aimed to study the maturity stage of the safety culture in an LPG reseller network located in Salvador, Bahia. The research is grounded in well-established theoretical models that conceptualize safety culture as a set of values, practices, and collective behaviors that evolve through maturity stages. A mixed-methods approach was employed, combining quantitative and qualitative techniques. Data collection involved questionnaires covering six dimensions (leadership, commitment, involvement, information, communication, and organizational learning), along with a documentary evidence checklist. The sample consisted of 289 workers from 82 reseller companies. Results indicated an intermediate stage of safety culture maturity, between the reactive and bureaucratic stages, with significant variations across sociodemographic and organizational profiles. Positive correlations were identified between safety culture maturity and education level, age, and length of employment. Smaller resellers demonstrated higher levels of safety culture maturity. The findings suggest that advancing the maturity of safety culture within resellers depends on consolidating clear policies, implementing continuous training programs, and strengthening safety-oriented leadership. Furthermore, the development of monitoring tools and performance indicators is recommended to systematically track safety culture progress. This study contributes to the understanding of the current panorama of safety culture in the LPG distribution sector and provides practical insights for managers seeking to enhance operational reliability and reduce risks associated with reseller activities.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>0004-02-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Detecção de outliers em dados de alta dimensionalidade em processos químicos</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/43945" />
    <author>
      <name>Souza, Lucas Silva</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/43945</id>
    <updated>2026-01-29T17:19:45Z</updated>
    <published>2025-12-16T00:00:00Z</published>
    <summary type="text">Título: Detecção de outliers em dados de alta dimensionalidade em processos químicos
Autor(es): Souza, Lucas Silva
Primeiro Orientador: Sant'Anna, Ângelo Márcio Oliveira
Abstract: Chemical processes are characterized by high operational complexity, simultaneous monitoring of multiple process variables, as well as require high levels of reliability, stability, and rapid response to deviations. In this context, the early identification of outliers is essential to mitigate operational and financial impacts. This study proposes a method grounded in classical approaches for identifying out of control observations in sample groups, employing Principal Component Analysis (PCA) and Biplots to detect outliers in multivariate data from real petrochemical process. The proposed approach aims to address gaps in the existing literature by offering a solution applicable across different organizational hierarchies, including teams without advanced statistical expertise. The method relies on the Euclidean distance in the first plane of a GH-Biplot, which approximates the Mahalanobis distance, thereby providing a more suitable representation for correlated variables. Moreover, the methodology does not depend on distributional assumptions, making it robust and applicable to a wide range of scenarios. However, it required a clear reference of in control process behavior to allow develpoment. The visual nature of the approach further facilitates the detection of outliers and the identification of emerging patterns in high-dimensional data.&#xD;
The proposed method was evaluated using three real-world datasets. The first corresponds to the case study introduced in this work, while the other two are publicly available datasets, which are widely used in the literature, both containing explicitly labeled outliers. The results indicate that the proposed approach was effective in detecting outliers, achieving an accuracy greater than 70% across all three datasets evaluated.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>2025-12-16T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Impactos do Lean Safety com a Certificação da norma ISO 45001:2018 em indústrias manufatureiras.</title>
    <link rel="alternate" href="https://repositorio.ufba.br/handle/ri/43786" />
    <author>
      <name>Menezes, Michelle de Oliveira</name>
    </author>
    <id>https://repositorio.ufba.br/handle/ri/43786</id>
    <updated>2026-01-14T13:12:34Z</updated>
    <published>2025-12-11T00:00:00Z</published>
    <summary type="text">Título: Impactos do Lean Safety com a Certificação da norma ISO 45001:2018 em indústrias manufatureiras.
Autor(es): Menezes, Michelle de Oliveira
Primeiro Orientador: Pimentel, Cristiane Agra
Abstract: Brazil loses productivity and resources year after year due to work accidents, also&#xD;
compromising the integrity and lives of thousands of people. According to the guidelines of the&#xD;
ISO 45001:2018 standard, an occupational health and safety management system structured&#xD;
according to the standard can help organizations minimize or eliminate risks and hazards,&#xD;
contributing to accident prevention. Lean tools, fundamentally designed for operational&#xD;
excellence through increased efficiency and waste reduction, can be applied in this context.&#xD;
Therefore, the objective of this study is to associate, highlighting for each requirement of the&#xD;
standard, which Lean Safety tools can aid their implementation in the manufacturing industry,&#xD;
based on the results of the Analytic Hierarchy Process (AHP) matrix. The methods employed&#xD;
included bibliometric research using R software with selected keywords: "Lean" OR "Lean&#xD;
Thinking" AND "safety" OR "ISO 45001" AND "industry" OR "manufacturing".&#xD;
Subsequently, the AHP matrix was applied as a decision-making approach to associate tools&#xD;
and requirements. The results indicated that the most associated requirements were Operation,&#xD;
Improvement, and Planning, with the corresponding tools showing the highest weights being&#xD;
5S, Single Minute Exchange of Die (SMED), Value Stream Mapping (VSM), and Poka Yoke.&#xD;
The AHP mapping demonstrates synergy between Lean Safety and ISO 45001, facilitating&#xD;
certification through contextual analysis, modification of working conditions, and safety&#xD;
mindset development. Despite the limitation of single-expert judgment, it provides a practical&#xD;
basis for systemic or targeted implementation, enhancing occupational health and safety (OHS)&#xD;
in manufacturing. Empirical validation using the Delphi method, joint cost analysis, and trends&#xD;
such as sustainability and new technologies are suggested.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</summary>
    <dc:date>2025-12-11T00:00:00Z</dc:date>
  </entry>
</feed>

