Maintenance strategies for lifting equipment

approaches, methods, and indicators

Authors

DOI:

https://doi.org/10.12662/2359-618xregea.v14i3.p48-64.2025

Keywords:

systematic review, performance, predictive maintenance, digital twins

Abstract

The maintenance of equipment represents a strategic and essential task to ensure the reliability, availability, and operational efficiency of assets. This study aimed to identify the most effective maintenance methods for lifting equipment, considering different approaches and performance indicators. A Systematic Literature Review (SLR), guided by the PRISMA protocol and supported by content analysis, structured the research. The findings were organized based on maintenance types, methodologies, and frequently used indicators. Lean Manufacturing, Six Sigma, the Internet of Things (IoT), and Reliability-Centered Maintenance (RCM) were among the most frequently cited methodologies. The results demonstrated the enhanced effectiveness of predictive maintenance in terms of reliability and availability, especially when integrated with technologies such as IoT and Principal Component Analysis (PCA). Methods based on technical inspections and risk assessment were particularly effective in enhancing safety. Lean and Lean Six Sigma approaches proved effective in reducing cost and optimizing processes. It is concluded that the integrated application of these methodologies can enhance the performance of lifting equipment.

Downloads

Download data is not yet available.

Author Biographies

Maristella Trindade da Silva, Universidade Federal de Goias

Undergraduate student in Production Engineering at UFG.

Lie Yamanaka, Universidade Federal de Goias

Master's degree and a Ph.D. in Production Engineering from the University of São Paulo - São Carlos School of Engineering, with a doctoral internship at the Silesian University of Technology - SUT (Poland).Currently a Professor at the Federal University of Goiás (UFG), teaching in the undergraduate Production Engineering program and the Graduate Program in Production Engineering (PPGEP/UFG).

Nelson Dias da Costa Júnior, https://orcid.org/0000-0002-4798-2924

Bachelor's degree in Production Engineering from the Federal University of Goiás (UFG) and Master's degree in Production Engineering from the Federal University of Goiás (UFG), with a concentration in Industrial Operations and Process Engineering and a research focus on Product and Process Development Engineering. Experience as Manager of a small business in the Graphic Services sector, responsible for strategic business management, pricing policies, financial management, inventory control, and more. Also worked as a Maintenance Engineering Intern at a multinational fertilizer producer, managing performance indicators, monitoring operations, and reporting to management and team leaders. In the same sector, served as a Maintenance Planner and Controller (MPC), overseeing maintenance planning and control. Professor in the Maintenance Management course for the MBA in Production Engineering, Quality Management, and Processes at FacUnicamps, and Lecturer in the Production Engineering program at UFG. Currently, a tenured public servant at the Federal University of Goiás (UFG), holding the position of Engineer / Field: Production.

Cynara Mendonça Moreira Tinoco, Universidade Federal de Goiás - UFG

Master's degree in Production Engineering from the Federal University of Santa Catarina (2001), a Ph.D. in Electrical Engineering from the State University of Campinas (2017), and a Postdoctoral degree in Lean Healthcare from the University of Aveiro (Portugal, 2023).Currently serves as a Professor (Higher Education) at the Federal University of Goiás (UFG), a Permanent Professor in the Professional Master's in Public Administration (PROFIAP), and a Collaborating Professor in the Professional Master's in Production Engineering at UFG..Has expertise in Production Engineering, with a focus on Lean Healthcare and Six Sigma.

Diogo de Souza Rabelo, Universidade Federal de Mato Grosso - UFMT

Doutor em Engenharia Mecânica pela Universidade Federal de Uberlândia. Professor Adjunto da Universidade Federal de Mato Grosso (UFMT), atuando no curso de graduação em Engenharia de Controle e Automação.  Cuiabá - MT - BR.

Published

2025-10-03

How to Cite

SILVA, Maristella Trindade da; YAMANAKA, Lie; COSTA JÚNIOR, Nelson Dias da; TINOCO, Cynara Mendonça Moreira; RABELO, Diogo de Souza. Maintenance strategies for lifting equipment: approaches, methods, and indicators. Journal Of Management Analysis, Fortaleza, v. 14, n. 3, p. 48–64, 2025. DOI: 10.12662/2359-618xregea.v14i3.p48-64.2025. Disponível em: https://periodicos.unichristus.edu.br/gestao/article/view/5911. Acesso em: 8 oct. 2025.

Issue

Section

ARTICLES