| 1. |
- Bengtsson, Marcus, 1977-, et al.
(författare)
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The Importance of Using Domain Knowledge When Designing and Implementing Data-Driven Decision Models for Maintenance : Insights from Industrial Cases
- 2024
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Ingår i: Lecture Notes in Mechanical Engineering. - : Springer Science and Business Media Deutschland GmbH. - 9783031396182 ; , s. 601-614
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Konferensbidrag (refereegranskat)abstract
- The advanced technologies available in the development of Smart Maintenance within Industry 4.0 have the potential to significantly improve the efficiency of industrial maintenance. However, it is important to be careful when deciding which technologies to implement for a given application and when evaluating the quality of the data generated. Otherwise, what should be cost-effective solutions may end up being cost-driving. The use of domain knowledge in selecting, developing, implementing, setting up, and utilizing these technologies is increasingly important for achieving success. In this paper, we will elaborate on this topic by presenting and analyzing insights from industrial cases, drawing on the authors’ extensive experience in the field.
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| 2. |
- Giliyana, San, 1988-, et al.
(författare)
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A Conceptual Implementation Process for Smart Maintenance Technologies
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Industry 4.0 is usually presented as usage of technologies. Some of these play an important role in the development of smart maintenance technologies. How-ever, although the subject of smart maintenance has been discussed for more than ten years, the manufacturing industry still finds it challenging to implement smart maintenance technologies to add benefits to maintenance organizations in line with company’s goals. This study presents a conceptual process for implementing smart maintenance technologies, challenges and enablers to consider when implementing, and benefits. This article is based on an analysis of empirical findings from seven large manufacturing companies in Sweden, previous maintenance research, and au-thors’ three previous smart maintenance research articles. In the first article, the authors explored perspectives on smart maintenance technologies from eleven large companies within the manufacturing industry, while in the second one, perspectives on smart maintenance technologies from fifteen manufacturing Small and medium-sized enterprises (SMEs) were presented. In the third and final one, the authors de-veloped and presented a testbed for smart maintenance technologies.
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| 3. |
- Giliyana, San, et al.
(författare)
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A Conceptual Implementation Process for Smart Maintenance Technologies
- 2024
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Ingår i: Engineering Asset Management Review. - : Springer Science and Business Media Deutschland GmbH. ; , s. 61-84
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Bokkapitel (refereegranskat)abstract
- Industry 4.0 is usually presented as usage of technologies. Some of these play an important role in the development of smart maintenance technologies. However, although the subject of smart maintenance has been discussed for more than 10 years, the manufacturing industry still finds it challenging to implement smart maintenance technologies to add benefits to maintenance organizations in line with company’s goals. This study presents a conceptual process for implementing smart maintenance technologies, challenges and enablers to consider when implementing, and benefits. This article is based on an analysis of empirical findings from seven large manufacturing companies in Sweden, previous maintenance research, and authors’ three previous smart maintenance research articles. In the first article, the authors explored perspectives on smart maintenance technologies from 11 large companies within the manufacturing industry, while in the second one, perspectives on smart maintenance technologies from 15 manufacturing Small and medium-sized enterprises (SMEs) were presented. In the third and final one, the authors developed and presented a testbed for smart maintenance technologies.
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| 4. |
- Giliyana, San, et al.
(författare)
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A Testbed for Smart Maintenance Technologies
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Industry 4.0 presents nine technologies including Industrial Internet of Things (IIoT), Big Data and Analytics, Augmented Reality (AR), etc. Some of the technologies play an important role in the development of smart maintenance technologies. Previous research presents several technologies for smart maintenance. However, one problem is that the manufacturing industry still finds it challenging to implement smart maintenance technologies in a value-adding way. Open questionnaires and interviews have been used to collect information about the current needs of the manufacturing industry. Both the empirical findings of this paper, as well as previous research, show that knowledge is the most common challenge when implementing new technologies. Therefore, in this paper, we develop and present a testbed for how to approach smart maintenance technologies and to share technical knowledge to the manufacturing industry.
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| 5. |
- Giliyana, San, et al.
(författare)
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A Testbed for Smart Maintenance Technologies
- 2024
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Ingår i: Lecture Notes in Mechanical Engineering. - : Springer Science and Business Media Deutschland GmbH. - 9783031396182 ; , s. 437-450
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Konferensbidrag (refereegranskat)abstract
- Industry 4.0 presents nine technologies including Industrial Internet of Things (IIoT), Big Data and Analytics, Augmented Reality (AR), etc. Some of the technologies play an important role in the development of smart maintenance technologies. Previous research presents several technologies for smart maintenance. However, one problem is that the manufacturing industry still finds it challenging to implement smart maintenance technologies in a value-adding way. Open questionnaires and interviews have been used to collect information about the current needs of the manufacturing industry. Both the empirical findings of this paper, as well as previous research, show that knowledge is the most common challenge when implementing new technologies. Therefore, in this paper, we develop and present a testbed for how to approach smart maintenance technologies and to share technical knowledge to the manufacturing industry.
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| 6. |
- Giliyana, San, 1988-, et al.
(författare)
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Perspectives on Smart Maintenance Technologies – A Case Study in Large Manufacturing Companies
- 2022
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Ingår i: Advances in Transdisciplinary Engineering. - : IOS Press. - 9781643682686 - 9781643682693 ; , s. 255-266
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Konferensbidrag (refereegranskat)abstract
- The manufacturing industry faces significant technical challenges due to the industry 4.0 technologies, which play an essential role in maintenance development. Maintenance in industry 4.0, also named smart maintenance, maintenance 4.0, predictive maintenance, etc., is boosted using industry 4.0 technologies, such as Industrial Internet of Things (IIoT), Big Data and Analytics, Cloud Computing, Augmented Reality (AR), Additive Manufacturing (AM), etc. Previous research presents several smart maintenance technologies, but the manufacturing industry still finds it challenging to implement the technologies cost-effectively. One problem is that there is insufficient research on how smart maintenance technologies can be implemented cost-effectively and add value to the manufacturing industry. Therefore, this paper aims to explore perspectives on smart maintenance technologies: 1) if there are any implemented smart maintenance technologies, 2) in what context, 3) added values, 4) challenges, 5) opportunities, 6) advantages, and 7) disadvantages with the technologies. This paper presents the results of a case study based on an online open questionnaire with respondents working in maintenance organizations in large manufacturing companies.
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| 7. |
- Giliyana, San, et al.
(författare)
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Perspectives on Smart Maintenance Technologies – A Case Study in Small and Medium-Sized Enterprises (SMEs) Within Manufacturing Industry
- 2023
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Ingår i: 16th WCEAM Proceedings. - Cham : Springer Nature. - 9783031254482 ; , s. 571-585
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Konferensbidrag (refereegranskat)abstract
- Industry 4.0 consists of nine technological pillars: IIoT, Cloud Computing, Big Data and Analytics, AR, etc. Some of the pillars play an essential role in maintenance development. Previous research presents many technologies for smart maintenance, but one prevailing problem is that there are still challenges to implementing smart maintenance technologies cost-effectively in the manufacturing industry. Therefore, we explore perspectives on smart maintenance technologies from respondents within 15 manufacturing SMEs. We start by investigating whether the companies had implemented smart maintenance technologies, if so, in what context. Then, we explore perspectives from the manufacturing SMEs on added values, challenges, opportunities, advantages, and disadvantages of smart maintenance technologies. However, as none of the case companies had implemented any Smart Maintenance Technologies, only implementation challenges could be investigated.
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| 8. |
- Giliyana, San, 1988-
(författare)
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Smart Maintenance Technologies in the Manufacturing Industry : Implementation, Challenges, Enablers and Benefits
- 2023
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- In Industry 4.0, production, Information Technology (IT), and the Internet are combined. The nine technologies of Industry 4.0, Artificial Intelligence (AI) and Cyber-Physical System (CPS), are changing machines, strategies, processes, and maintenance.In the first generation of maintenance, machines were run to failure, which is related to Corrective Maintenance. Systems for planning and control were implemented in the second generation, related to Predetermined Maintenance. Condition Based Maintenance (CBM) was presented in the third maintenance generation. Industry 4.0 places new demands on maintenance and different maintenance approaches are presented in previous research, such as Maintenance 4.0, Smart Maintenance and Self-Maintenance. This research focuses on smart maintenance technologies, using the nine technologies of Industry 4.0, such as Industrial Internet of Things (IIoT), and Big Data and Analytics, for machine connection, maintenance data collection, analysis of data, and making decisions using AI. CPS can be used to integrate the physical world, such as manufacturing machines, factory environment, material, people, and executions, with the cyber world, such as data analysis, apps, services, and decision-making.Previous research presents several approaches to smart maintenance technologies. One problem is a lack of research regarding how smart maintenance technologies can be implemented to add benefits to the maintenance organization in line with company’s goal. Furthermore, previous research presents that further research is needed to support the manufacturing industry in what step an organization should take to implement smart maintenance technologies. In this research, four studies have been performed, which include literature reviews to obtain a clear overview of the research area of smart maintenance, as well as collected empirical data. The empirical data is collected from large companies and Small and Medium-sized Enterprises (SMEs), within the manufacturing industry, to obtain a clear overview of the manufacturing industry’ situation. The studies show that the manufacturing industry faces several challenges when implementing smart maintenance technologies, despite the concept of Industry 4.0 has been discussed for more than ten years. In this research, a conceptual implementation process is proposed, including challenges and enablers to consider when implementing smart maintenance technologies, as well as benefits of using smart maintenance technologies.
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| 9. |
- Sannö, Anna, 1978-, et al.
(författare)
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Handbook for conducting thesis projects in co-production with industry
- 2022. - 1
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Annan publikation (populärvet., debatt m.m.)abstract
- This handbook is developed for thesis students, as well as academic supervisors and industrial supervisors. The handbook aims to clarify the thesis process and make it easier for you to work as a team. By following this process, you will make sure that the thesis will have both academic and industrial contributions.
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