scholarly journals Digitalizing Predictive Maintenance to Improve Asset Management: Are We Ready?

Author(s):  
Damjan Maletić ◽  
Nuno Marques de Almeida ◽  
Dragan Komljenovic ◽  
Viktor Lovrenčić ◽  
Matjaž Maletič

The purpose of this paper is to explore the readiness of selected Slovenian companies to assimilate the complexities of Industry 4.0 requirements into their asset management practice, namely for the particular case of the predictive maintenance function. The survey was conducted to capture the extent to which companies address new technologies as well as to identify the current and future orientation towards their adoption in predictive maintenance activities. The results suggest that companies are aware of the benefits that can be attained with Industry 4.0 solutions. However, they still lack of clear vison and an implementation roadmap such solutions. Moreover, the majority of the companies in the sample are still in the early stages of predictive maintenance strategy maturity. Taking a wider perspective one can highlight the need to adopt organization-wide asset management approach to be able to effectively manage the transition towards digitalization by means of creating higher value for the organization.

Designs ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 17
Author(s):  
Javaid Butt

Digital transformation is no longer a future trend, as it has become a necessity for businesses to grow and remain competitive in the market. The fourth industrial revolution, called Industry 4.0, is at the heart of this transformation, and is supporting organizations in achieving benefits that were unthinkable a few years ago. The impact of Industry 4.0 enabling technologies in the manufacturing sector is undeniable, and their correct use offers benefits such as improved productivity and asset performance, reduced inefficiencies, lower production and maintenance costs, while enhancing system agility and flexibility. However, organizations have found the move towards digital transformation extremely challenging for several reasons, including a lack of standardized implementation protocols, emphasis on the introduction of new technologies without assessing their role within the business, the compartmentalization of digital initiatives from the rest of the business, and the large-scale implementation of digitalization without a realistic view of return on investment. To instill confidence and reduce the anxiety surrounding Industry 4.0 implementation in the manufacturing sector, this paper presents a conceptual framework based on business process management (BPM). The framework is informed by a content-centric literature review of Industry 4.0 technologies, its design principles, and BPM method. This integrated framework incorporates the factors that are often overlooked during digital transformation and presents a structured methodology that can be employed by manufacturing organizations to facilitate their transition towards Industry 4.0.


2018 ◽  
Vol 10 (1) ◽  
pp. 283-292
Author(s):  
Duc Tran Anh ◽  
Karol Dąbrowski ◽  
Katarzyna Skrzypek

Abstract Modern technical environments require a high degree of reliability both in machinery and in equipment. Technological progress has, on the one hand, increased this efficiency but on the other hand, it has changed the way in which this equipment and these machines have traditionally been maintained. The authors have set the following assumptions. In order to survive in the market and develop, modern production enterprises realize the assumptions of Industry 4.0, wherein the optimization of maintenance processes is important because of the financial situation. This includes the profits made by the production company and differs from traditional maintenance, by shifting towards new trends such as predictive maintenance; as such, it is crucial for the development of the company. The article is devoted to the most modern predictive maintenance strategy, in the maintenance department of a manufacturing company. The publication describes the meaning of the method, its potential and the theory of action.


2017 ◽  
Vol 107 (01-02) ◽  
pp. 102-106
Author(s):  
S. Bärenfänger-Wojciechowski ◽  
M. Austerjost ◽  
M. Prof Henke

Die technologischen und konzeptionellen Veränderungen der Industrie 4.0 erfordern eine Weiterentwicklung der Instandhaltung zur „Smart Maintenance“. Ziel ist es, einen Einklang zwischen technisch-funktionalen und wirtschaftlichen Zielsetzungen industrieller Unternehmen zu erreichen. Dabei gilt es, die vier zentralen Elemente Mensch, Sensorik, Datenmanagement und Assistenzsysteme in einem integrativen Ansatz zu vereinen. Der Fachbeitrag stellt hierfür einen entsprechenden Referenz-Ansatz vor.   The technological and conceptual implications of industry 4.0 require an evolution of the traditional maintenance: maintenance has to become smart. The main aim is to establish a concept for maintenance, that combines technical related goals with economical goals of industrial companies. Therefore, the four key elements of smart maintenance, namely humans, sensors, data-management and assistance-systems, have to be combined in an integrated management approach. This article presents a reference-approach for this idea.


Author(s):  
María- José Foncubierta-Rodriguez ◽  
Rafael Ravina-Ripoll ◽  
Eduardo Ahumada-Tello ◽  
Luis Bayardo Tobar-Pesantez

Since the end of the 20th century, economists have been attracted to the study of the economics of happiness (e.g., Singh, & Alexandrova, 2020; Crespo & Mesurado, 2015; Ferrer-i-Carbonell,2013). The use of the term happiness characterizes an essential volume of this bibliographical production as a synonym for the words satisfaction, well-being, or quality of life (Teixeira&Vasque, 2020; Carlquist et al., 2017). Under this umbrella, the culture of happiness management teaches us that a management model or direction oriented to the holistic search for happiness or job satisfaction of its employees is one of the essential axial pieces that organizations have to increase the commitment of their human capital, and therefore, their productivity and business performance (Ravina et al., 2019). Public administration employees are not exempt from this reality, a group that is characterized by job stability compared to private company employees. This article is dedicated to them. The era of Industry 4.0 is a period that is characterized, among other things, by the high precariousness of labor that is originated by the implementation of management models in advanced economies. This phenomenon is derived from the technological point of view by the automation and massive robotization of production processes and the supply chain. Together with the digitalization of companies, both factors are very present in the ecosystems of the Covid-19, and have come, perhaps, to stay in the future (Bragazzi, 2020; Ghadge et al., 2020). In line with the above, a more holistic examination of this issue seems likely to show that there is a keen interest among people to enter into Work mostly in public administrations, in search of a permanent contract for their entire working life. As is known, this is especially true in countries with high unemployment levels, such as Spain. Its unemployment rate is 20.1% in mid-2020. In the collective imagination of these individuals, there is the conviction that this type of Work constitutes ambrosia of eudaimonic happiness, job security, and quality of life, especially at present, in times of the Covid-19 pandemic (Fernández-Urbano, & Kulic, 2020). In this sense, it should be noted that in the last decades of the 21st century, there has been a growing interest in researching public employees' job satisfaction (e.g., Ryu&Bae, 2020; Steijn &Van der Voet, 2019; Luechinge et al., 2010). Most of the studies carried out on this scientific topic to date show empirically that public sector workers are happier than individuals in the private sphere. It's basically due to the intrinsic benefits (flexibility, vacation, or family reconciliation, among others) that this type of government entity offers concerning for-profit organizations (e.g., Lahat&Ofek, 2020; Sánchez-Sánchez, & Puente, 2020; Danzer,2019). In this context, this article aims to examine, as a priority in the era of Industry 4.0, whether there are observed differences in the levels of congratulations between human capital working in the private sector and that working in the public sector in Spain, by analyzing a set of variables that define positions: hours, salary, stability, promotion, and stress. Finally, we must indicate, on the one hand, that the choice of this spatial framework is motivated by the scarce literature investigating the happiness of Spanish public employees in an economy with high levels of youth unemployment (Núñez-Barriopedro et al., 2020). On the other hand, the results achieved in this study may be useful in the future for the implementation of public policies aimed at significantly promoting the welfare of working citizens through the happiness management approach (Ravina-Ripoll et al., 2019), or for taking this management concept to private companies to increase the motivation of their employees (Foncubierta-Rodríguez & Sánchez-Montero, 2019). Keywords: Happiness, human resources, Industry 4.0, public sector.


2020 ◽  
Vol 25 (3) ◽  
pp. 505-525 ◽  
Author(s):  
Seeram Ramakrishna ◽  
Alfred Ngowi ◽  
Henk De Jager ◽  
Bankole O. Awuzie

Growing consumerism and population worldwide raises concerns about society’s sustainability aspirations. This has led to calls for concerted efforts to shift from the linear economy to a circular economy (CE), which are gaining momentum globally. CE approaches lead to a zero-waste scenario of economic growth and sustainable development. These approaches are based on semi-scientific and empirical concepts with technologies enabling 3Rs (reduce, reuse, recycle) and 6Rs (reuse, recycle, redesign, remanufacture, reduce, recover). Studies estimate that the transition to a CE would save the world in excess of a trillion dollars annually while creating new jobs, business opportunities and economic growth. The emerging industrial revolution will enhance the symbiotic pursuit of new technologies and CE to transform extant production systems and business models for sustainability. This article examines the trends, availability and readiness of fourth industrial revolution (4IR or industry 4.0) technologies (for example, Internet of Things [IoT], artificial intelligence [AI] and nanotechnology) to support and promote CE transitions within the higher education institutional context. Furthermore, it elucidates the role of universities as living laboratories for experimenting the utility of industry 4.0 technologies in driving the shift towards CE futures. The article concludes that universities should play a pivotal role in engendering CE transitions.


2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.


2021 ◽  
Vol 13 (15) ◽  
pp. 8224
Author(s):  
Long Chen ◽  
Xiang Xie ◽  
Qiuchen Lu ◽  
Ajith Kumar Parlikad ◽  
Michael Pitt ◽  
...  

Various maturity models have been developed for understanding the diffusion and implementation of new technologies/approaches. However, we find that existing maturity models fail to understand the implementation of emerging digital twin technique comprehensively and quantitatively. This research aims to develop an innovative maturity model for measuring digital twin maturity for asset management. This model is established based on Gemini Principles to form a systematic view of digital twin development and implementation. Within this maturity model, three main dimensions consisting of nine sub-dimensions have been defined firstly, which were further articulated by 27 rubrics. Then, a questionnaire survey with 40 experts involved is designed and conducted to examine these rubrics. This model is finally illustrated and validated by two case studies in Shanghai and Cambridge. The results show that the digital twin maturity model is effective to qualitatively evaluate and compare the maturity of digital twin implementation at the project level. It can also initiate the roadmap for improving the performance of digital twin supported asset management.


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