Age-based preventive maintenance with multiple printing options

Lolli, Francesco; Coruzzolo, Antonio Maria; Peron, Mirco; Sgarbossa, Fabio

doi:10.1016/j.ijpe.2021.108339

Cited by 32 publications

(15 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, in the last years, several studies have explored automated classification techniques to assess the relevancy of the literature on specific‐oriented topics. For instance, literature research revealed automated classification focused on medical (Cohen et al., 2006; Timsina et al., 2016) and biomedical (Wallace et al., 2010) sectors, cloud manufacturing (Ellwein et al., 2020; Lolli et al., 2022; Sgarbossa et al., 2021), food safety (van den Bulk et al., 2022), and product returns (Duong et al., 2022). Recently, several authors presented different methodologies (Jaspers et al., 2018; Peron et al., 2020; Weißer et al., 2020), optimization techniques (Adinugroho et al., 2017; Peron et al., 2020), and frameworks (Peron et al., 2022; Simonetto et al., 2022; Tauchert et al., 2020) aiming at contributing to performing an objective, transparent, and reproducible documents‐based search approach and enhancing the quality of the literature review.…”

Section: Methodsmentioning

confidence: 99%

Risk assessment for handling hazardous substances within the European industry: Available methodologies and research streams

et al. 2022

Self Cite

View full text Add to dashboard Cite

After the Seveso disaster occurred more than 40 years ago, there has been an increasing awareness of the potential impacts that similar accident events can occur in a wide range of process establishments, where the handling and production of hazardous substances pose a real threat to society and the environment. In these industrial sites denominated "Seveso sites," the urgent need for an effective strategy emerged markedly to handle hazardous activities and to ensure safe conditions. Since then, the main challenging research issues have focused on how to prevent such accident events and how to mitigate their consequences leading to the development of many risk assessment methodologies. In recent years, researchers and practitioners have tried to provide useful overviews of the existing risk assessment methodologies proposing several reviews. However, these reviews are not exhaustive because they are either dated or focus only on one specific topic (e.g., liquefied natural gas, domino effect, etc.). This work aims to overcome the limitations of the current reviews by providing an up-to-date and comprehensive overview of the risk assessment methodologies for handling hazardous substances within the European industry. In particular, we have focused on the current techniques for hazards and accident scenarios identification, as well as probability and consequence analyses for both onshore and offshore installations. Thus, we have identified the research streams that have characterized the activities of researchers and practitioners over the years, and we have then presented and discussed the different risk assessment methodologies available concerning the research stream that they belong to.

show abstract

Section: Methodsmentioning

confidence: 99%

Risk assessment for handling hazardous substances within the European industry: Available methodologies and research streams

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Ratio for each failure mode can be calculated by the following equation: (7) Where g = 1, 2… n stands for number of factors to be minimized. Failure modes with higher defuzzified values are attributed with higher ranks is shown in Table 8 Step 6.…”

Section: Failure Mode Analysis Methodologymentioning

confidence: 99%

“…When a faulty operation is performed by the operator, we can analyze the performance and the operator can be quickly notified of the faulty act. In operating the machine, we can avoid breakdowns, loss of time, effort and cost [7], and predict failure before it occurs. We can increase the operating lifetime of machines, reduce the cost of spare parts, reduce production downtime, and improve product quality and save energy.…”

Section: A Predictive Maintenance Benefitsmentioning

confidence: 99%

IoT-Based Data-Driven Predictive Maintenance Relying on Fuzzy System and Artificial Neural Networks

Aboshosha

Haggag

George

et al. 2022

Preprint

View full text Add to dashboard Cite

Industry 4.0 technologies need to plan reactive maintenance and Preventive Maintenance (PM) strategies for their production machines. However, preventive maintenance cannot predict the future faults or conditions of the machine components in advance to prevent halting the production cycle. This study aims to use a Predictive Maintenance (PdM) technology with communication technologies to counter these problems. Sensors Information Modeling (SIM) and the Internet of Things (IoT) have the potential to improve the efficiency of industrial production machines maintenance management. They can provide a better maintenance strategy utilizing a data-driven predictive maintenance planning framework based on our proposed SIM and IoT technologies. Data is collected and integrated with the proposed (SIM) models and the IoT network. The proposed system consists of the data entry form that contains all the measurements, notes of events that are difficult to electronically monitor, and the credibility of data measured by sensors. The status and performance of the machine are continuously being monitored as they consciously vary according to the operating conditions. Data collection from the SIM models, and IoT network are integrated in a software framework that consists of, (1) condition and performance monitoring and faults module, (2) machine condition evaluation module, (3) failure prediction module, (4) maintenance decision module. Machine learning algorithms and artificial neural networks are used to detect the healthy or faulty operating conditions and predict probability of failures, evaluate the conditions of the machine components and estimate the remaining lifetime. To verify the feasibility of our approach, our proposed framework is applied to a corrugated board production factory real industrial environment. The results show that, updated data obtained from the information layer with machine learning algorithms in the application the layer can effectively predict the future state of the machine components to make appropriate maintenance decisions.

show abstract

“…Today's production systems need to be flexible and risks should be kept to a minimum [27]. Risk analysis involves identifying hazards, and determining the probability of the identified hazards, the size of the potential impact, and an indicator of the level of risk.…”

Section: Evaluation and Selection Of Optimal Solution Optionsmentioning

confidence: 99%

Implementation of Technological Innovation in a Manufacturing Company

Plinta

Radwan

2023

Applied Sciences

View full text Add to dashboard Cite

The dynamics of change in the market force organizations to be ready to take up challenges. The innovation of enterprises is a determinant of their development. Implementation of technological innovation involves a large number of important strategic decisions. This publication discusses the issue of implementing technological innovation in a manufacturing enterprise. The subject of the manuscript includes the creation of a comprehensive methodology of proceedings. This, in turn, includes issues that determine the effectiveness of the management process of an innovative project in a small-batch production enterprise, whose specificity requires the proposal of a methodology for creating a concept of an innovative product under the conditions of limited project resources. The presented approach provides support for the creation of an innovation concept and its proper management. The proposed methodology allows for the evaluation and selection of optimal solution variants and the development of the technical preparation of new production in terms of construction, technology, and organization. The implementation of improvements presented in the article results in an increase in the company’s ability to successfully implement technological innovations, whose implementation is an essential step to increase the value and growth of the company.

show abstract

Age-based preventive maintenance with multiple printing options

Cited by 32 publications

References 49 publications

Risk assessment for handling hazardous substances within the European industry: Available methodologies and research streams

Risk assessment for handling hazardous substances within the European industry: Available methodologies and research streams

IoT-Based Data-Driven Predictive Maintenance Relying on Fuzzy System and Artificial Neural Networks

Implementation of Technological Innovation in a Manufacturing Company

Contact Info

Product

Resources

About