| 1. |
- Al-Najjar, Basim, 1954-, et al.
(author)
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A Model for Increasing Effectiveness and Profitability of Maintenance Performance : A Case Study
- 2018
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In: Engineering Asset Management 2016. - Cham : Springer. - 9783319622743 ; , s. 1-12
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Conference paper (peer-reviewed)abstract
- In today’s market, companies strive to achieve the competitive advantages. Failing in achieving these goals could threaten the companies’ existence. Failures in the operative level impact negatively on achieving these goals. In order to record these failures for better actions planning, special systems are often used for counting the number of failures, registering the duration of machines downtime and uptime for assessing the total downtime and classifying problems/failures in categories that are decided in advance. These categories can be Electrical, Electronic, Hydraulic, Mechanical, Pneumatics, Human error, and Miscellaneous. In this study, we develop a model to break down the contents of a company/machine failure databases, prioritize failures, assess economic losses due to failure impact on the competitive advantages and suggest a method of how maintenance actions should be rank-ordered cost-effectively. The model is tested using real data. The major results showed that losses aremainly due to two categories i.e. “Bad quality“ and “Less profit margin”, where failures of “Gear”, “Bearing” and “Raw materials quality” cause most of the losses. It is concluded that this model enables the user to quickly identify and prioritize maintenance and improvement efforts cost-effectively.
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| 2. |
- Al-Najjar, Basim, 1954-, et al.
(author)
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Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future
- 2018
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In: International Journal of Engineering Research and Applications. - : IJERA. - 2248-9622. ; 8:11, s. 20-31
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Journal article (peer-reviewed)abstract
- In today's high market competition, industries attempt adapt new technologies retain their market share. With technology advancement in factories, maintenance methods are developed to suit the new manufacturers. demands. Now, with the Industry 4.0, new maintenance techniques have to be developed to fulfill the new demands which we refer to as Maintenance 4.0. Each currently used maintenance technique has its own advantages and disadvantages. Until now it is unclear if these techniques are suitable for Industry 4.0. This study shows how to identify the maintenance technique that is the most suitable to be further developed for Industry 4.0. In this paper, the tasks and features of Maintenance 4.0 are identified, and the suitability of the most popular maintenance techniques is examined with respect to Industry 4.0 demands. This is done by using Multiple Attribute Decision Making combined with the Simple Additive Weight. The results show that Total Quality Maintenance(TQMain) and then Condition Based Maintenance(CBM) are the highest ranked among the examined maintenance techniques, and therefore it is concluded that these maintenance techniques could be used as a based to develop Maintenance 4.0.
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| 3. |
- Al-Najjar, Basim, 1954-, et al.
(author)
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Smart maintenance model using cyber physical system
- 2018
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In: Paper presented at the International Conference on "Role of Industrial Engineering in Industry 4.0 Paradigm" (ICIEIND), Bhubaneswar, India, September 27-30, 2018. ; , s. 1-6
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Conference paper (peer-reviewed)abstract
- Modern manufacturing are exposed to rapid and dynamic changes in operating conditions, market demands, national and international competition. Therefore, new generations and concepts of maintenance techniques are necessary to overcome the deficiencies in the current techniques. The purpose of this paper is to propse a maintenance model that is automatic, digitzalised and intelligent using Cyber Physical System (CPS-Maint). In this paper, we presented comparable maintenance approaches and described their shortages. Thereafter, we developed a new maintenance model. Then, A simulation using LabVIEW is conducted to examin the model and its behavior. The results showed that the required tasks are performed with no conflict among its components. The major result is the development of CPS-Maint and the major conclusion is applying CPS-Maint fulfills industry needs. This paper provides a framework that could help developers and researchers in desining and developing an automatic and smart maintenance system.
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| 4. |
- Algabroun, Hatem, et al.
(author)
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A framework for the integration of digitalised maintenance systems with relevant working areas : A case study
- 2020
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In: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020. - : Elsevier. ; , s. 185-190
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Conference paper (peer-reviewed)abstract
- To enhance maintenance performance, maintenance integration with relevant activities should be planned and performed. In a digitalised industry, maintenance integration has to deal with various and heterogynous technologies. As the integration of such disparate technologies can be complex, this paper proposes a framework that provides the steps required for the successful integration of digitalised and automated maintenance across the relevant working areas. To develop this framework, we first identified relevant working areas to integrate maintenance with. Next, we identified integration success factors which are then considered in the framework development. The framework was then implemented in a real case study, and results showed that the integration tasks were completed successfully. Based on the case study, the framework provides guidelines for successfully integrating maintenance in a systematic way across the relevant working areas.
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| 5. |
- Algabroun, Hatem, et al.
(author)
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Assessment of the impact of maintenance integration within a plant using MFD : A case study
- 2019
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In: Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. - Cham : Springer. - 9783319957104 - 9783319957111 ; , s. 61-71
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Conference paper (peer-reviewed)abstract
- In the recent decades the recognition of maintenance as an effective part of the company competitiveness has grown. In order to enhance maintenance performance and its positive impact, integration with the rest of the plant activities should be planned and performed. In this study, Maintenance Function Deployment model was applied on a real data of a case company. The model was used to analyse the company’s production with respect to the business and economic variables. This was done first through finding loss causes of the strategic goals of the case company, then breaking down these causes and their costs into their root causes. Based on economic estimations, the results show that the major root causes behind losses are insufficient training of personnel and lack of maintenance integration. It is concluded that properly considering the integration of maintenance within the company’s activities, reduces loss and improves the company’s performance. Also, that applying MFD eases the identification of the root-causes behind losses as well as quantifying and prioritizing the economic losses. © Springer Nature Switzerland AG 2019.
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| 6. |
- Algabroun, Hatem, et al.
(author)
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Development of digitalised maintenance : a concept
- 2022
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In: Journal of Quality in Maintenance Engineering. - : Emerald Group Publishing Limited. - 1355-2511 .- 1758-7832. ; 28:2, s. 367-390
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Journal article (peer-reviewed)abstract
- Purpose This paper presents a concept for digitalised maintenance (DM), maps the conceptualised DM to maintenance problems in industries and highlights challenges that might be faced when realizing this concept. Design/methodology/approach First, maintenance problems that are faced by the industry are presented, followed by a conceptualisation of DM. Next, a typical operational scenario is used as an exemplification to show system dynamics. The characteristics of this conceptualised DM are then mapped to the identified maintenance problems of industry. Then, interesting initiatives in this domain are highlighted, and finally, the challenges to realize this approach are discussed. Findings This paper identified a set of problems related to maintenance in industry. In order to solve current industrial problems, exploit emerging digital technologies and elevate future industries, it will be necessary to develop new maintenance approaches. The mapping between the criteria of DM and maintenance problems shows the potential of this concept and gives a reason to examine it empirically in future work. Originality/value This paper aims to help maintenance professionals from both academia and industry to understand and reflect on the problems related to maintenance, as well as to comprehend the requirements of a digitalised maintenance and challenges that may arise.
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| 7. |
- Algabroun, Hatem
(author)
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Dynamic sampling rate algorithm (DSRA) implemented in self-adaptive software architecture : a way to reduce the energy consumption of wireless sensors through event-based sampling
- 2020
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In: Microsystem Technologies. - : Springer. - 0946-7076 .- 1432-1858. ; 26:4, s. 1067-1074
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Journal article (peer-reviewed)abstract
- With the recent digitalization trends in the industry, wireless sensors are, in particular, gaining a growing interest. This is due to the possibility of being installed in inaccessible locations for wired sensors. Although great success has already been achieved in this area, energy limitation remains a major obstacle for further advances. As such, it is important to optimize the sampling with a sufficient rate to catch important information without excessive energy consumption, and one way to achieve sufficient sampling is using adaptive sampling for sensors. As software plays an important role in the techniques of adaptive sampling, a reference framework for software architecture is important in order to facilitate their design, modeling, and implementation. This study proposes a software architecture, named Rainbow, as the reference architecture, also, it develops an algorithm for adaptive sampling. The algorithm was implemented in the Rainbow architecture and tested using two datasets; the results show the proper operation of the architecture as well as the algorithm. In conclusion, the Rainbow software architecture has the potential to be used as a framework for adaptive sampling algorithms, and the developed algorithm allows adaptive sampling based on the changes in the signal.
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| 8. |
- Algabroun, Hatem, et al.
(author)
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Maintenance 4.0 Framework using Self : Adaptive Software Architecture
- 2018
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In: Journal of Maintenance Engineering. - UK : ShieldCrest Publishing Aylesbury, Buckinghamshire. ; 2, s. 280-293
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Journal article (peer-reviewed)abstract
- With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.
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| 9. |
- Algabroun, Hatem, et al.
(author)
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Maintenance 4.0 Framework Using Self-Adaptive Software Architecture
- 2017
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In: Proceedings of 2nd International Conference on Maintenance Engineering, IncoME-II 2017.The University of Manchester, UK. - : The University of Manchester, UK.
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Conference paper (peer-reviewed)abstract
- With the recent advances of manufacturing technologies, referred to as Industry 4.0, maintenance approaches have to be developed to fulfill the new de-mands. The technological complexity associated to Industry 4.0 makes designing maintenance solutions particularly challenging. This paper proposes a novel maintenance framework leveraging principles from self-adaptation and software architecture. The framework was tested in an operational scenario where a bearing condition in an electrical motor needs to be managed, the results showed a proper operation. As a conclusion, the proposed framework could be used to develop maintenance systems for Industry 4.0.
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| 10. |
- Algabroun, Hatem
(author)
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On the development of a maintenance approach for factory of the future implementing Industry 4.0
- 2017
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Licentiate thesis (other academic/artistic)abstract
- The objective of this thesis is to develop a maintenance approach that fulfills the requirements of Industry 4.0. It explores the role and importance of maintenance activities in today’s industry. Then, it develops the features and tasks required to be performed by maintenance to fulfill the demands of Industry 4.0. Finally, it develops a reference model to be used in designing maintenance system for Industry 4.0. To perform these studies, real data were collected and applied as well as a typical scenario was implemented.The results achieved in the papers of this thesis are 1) a mathematical representation and application of a model that identifies, analyses and prioritizes economic weakness in working areas related to production, 2) a model that analyses, identifies and prioritizes failures that impact the competitive advantages and profitability of companies, 3) characterization of a suitable maintenance technique for Industry 4.0 and 4) a reference model i.e. a framework, that could be utilized to develop a maintenance approach for Industry 4.0.The conclusion of this thesis confirms that maintenance has a significant impact on companies’ competitive advantages, other working areas and profitability. To achieve a suitable maintenance technique for Industry 4.0, this technique must be able to monitor, diagnose, prognosis, schedule, assist in execution and present the relevant information. In order to perform these tasks several features must be acquired, the most important features are to be: digitized, automated, intelligent, able to communicate with other systems for data gathering and monitoring, openness, detect deviation in the condition at an early stage, cost- effective, flexible for adding new CM techniques, provide accurate decisions and scalable. The developed framework could be used as a base to design a maintenance system for Industry 4.0. This study contributes to our understanding of the maintenance importance in today’s industry and how to develop a maintenance approach for Industry 4.0.
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