Proactive Maintenance as Success Factor for Use-Oriented Product-Service Systems

Exner, Konrad; Schnürmacher, Christian; Adolphy, Sebastian; Stark, Rainer

doi:10.1016/j.procir.2017.03.024

Cited by 16 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although the ultimate purpose of maintenance is the same, i.e., keeping a machinery or production line in its optimal operation condition, its philosophy depends on the production area it is applied to, but also on the mentality of the stakeholders. As determined by the EN 13306 standard [24], maintenance is divided into two major categories, reactive and proactive; each one is divided into more subcategories [25].…”

Section: Maintenance Strategiesmentioning

confidence: 99%

Predictive Maintenance of Machinery with Rotating Parts Using Convolutional Neural Networks

Apeiranthitis,

Zacharia,

Chatzopoulos

et al. 2024

Electronics

View full text Add to dashboard Cite

All kinds of vessels consist of dozens of complex machineries with rotating parts and electric motors that operate continuously in harsh environments with excess temperature, humidity, vibration, fatigue, and load. A breakdown or malfunction in one of these machineries can significantly impact a vessel’s operation and safety and, consequently, the safety of the crew and the environment. To maintain operational efficiency and seaworthiness, the shipping industry invests substantial resources in preventive maintenance and repairs. This study presents the economic and technical benefits of predictive maintenance over traditional preventive maintenance and repair by replacement approaches in the maritime domain. By leveraging modern technology and artificial intelligence, we can analyze the operating conditions of machinery by obtaining measurements either from sensors permanently installed on the machinery or by utilizing portable measuring instruments. This facilitates the early identification of potential damage, thereby enabling efficient strategizing for future maintenance and repair endeavors. In this paper, we propose and develop a convolutional neural network that is fed with raw vibration measurements acquired in a laboratory environment from the ball bearings of a motor. Then, we investigate whether the proposed network can accurately detect the functional state of ball bearings and categorize any possible failures present, contributing to improved maintenance practices in the shipping industry.

show abstract

Section: Maintenance Strategiesmentioning

confidence: 99%

Predictive Maintenance of Machinery with Rotating Parts Using Convolutional Neural Networks

Apeiranthitis,

Zacharia,

Chatzopoulos

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…Full service in all lifecycles is a substantial factor in logistics management. Lifecycle management has four separate parts, namely, introduction, growth, maturity, and decline state [21,22,120].…”

Section: Sub-criteria Of Evaluation Of the Service Lifecyclementioning

confidence: 99%

Logistics Service Provider Lifecycle Model in Industry 4.0: A Review

Tiwong,

Woschank,

Ramingwong

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and future developments of LSPs and the underlying (smart) logistics operations connected to the concept of lifecycle management. An SLR review was conducted to identify relevant research papers in the areas of LSPs and logistics lifecycle management. Out of 288 papers analyzed, 81 were identified as highly appropriate for in-depth analysis. The LSP Lifecycle Model (LSLM) was then developed by combining logistics service characteristics and the lifecycle management concept, including Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), and Product Service System (PSS). The LSLM consists of three phases: The Beginning of Life (BOL), the Middle of Life (MOL), and the End of Life (EOL). The LSLM is characterized by three phases, eight criteria, and seventeen sub-criteria. This paper aims to fulfil customer requirements through a product or service in the whole lifecycle of the logistics service provider. The findings further present an adaptable LSLM by focusing on various logistics services and integrating sustainability factors to meet market trends. Logistics cost factors can also be used to evaluate logistics services in the MOL stage. The EOL shows the trend of risk management, evaluation, and decomposition, which is determined by new or re-designed logistics products and services.

show abstract

“…Na NBR-5462 (1994) manutenção preventiva é a efetuada em intervalos pré-determinados, ou de acordo com critérios prescritos, destinada a reduzir a probabilidade de falha ou a degradação do funcionamento de um item e para Exner (2017), é manter as máquinas dependentes de intervalos de tempo fixo, e quando bem definidos (Rauch, Linder & Dallasega, 2020) aumentam a disponibilidade, porém (Viana, 2002) é todo serviço realizado em máquinas que não estejam em falha, sendo para (Vilarinho, Lopes & Oliveira, 2017) realizada para reduzir a manutenção corretiva, reforçado por Nagao (1998) que a melhor condição de manutenção é pelo monitoramento preditivo, chegando à atividade da manutenção preventiva de condição.…”

Section: Manutenção Preventiva Sistemáticaunclassified

O Novo Enfoque da Manutenção Preventiva das Máquinas e Equipamentos dos Processos Industriais

Neto

Campos²

2021

Anais Do Encontro Nacional De Engenharia De Produção

View full text Add to dashboard Cite

A inspeção dos equipamentos surgiu da necessidade de manter as instalações industriais em condições físicas satisfatórias, proporcionando o nível mínimo de segurança, disponibilidade e confiabilidade operacional, sendo que, essas inspeções por meios dos monitoramentos são os requisitos básicos para um planejamento das atividades de manutenção. O objetivo deste trabalho é analisar que por meios dos monitoramentos preditivo e / ou prescritivo poderá contribuir para a atividade de manutenção preventiva de condição real dos equipamentos, ou seja, apenas com a real necessidade, evitando as manutenções preventivas por intervalos pré-estabelecidos. Para tanto, foi realizada uma Revisão da Literatura. utilizando as palavras chave Maintenance 4.0, Manutenção Preventiva, Manutenção Inteligente, Manutenção Preditiva, identificando os principais autores e periódicos mais relevantes.

show abstract

Proactive Maintenance as Success Factor for Use-Oriented Product-Service Systems

Cited by 16 publications

References 6 publications

Predictive Maintenance of Machinery with Rotating Parts Using Convolutional Neural Networks

Predictive Maintenance of Machinery with Rotating Parts Using Convolutional Neural Networks

Logistics Service Provider Lifecycle Model in Industry 4.0: A Review

O Novo Enfoque da Manutenção Preventiva das Máquinas e Equipamentos dos Processos Industriais

Contact Info

Product

Resources

About