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On the development of a maintenance approach for factory of the future implementing Industry 4.0
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.ORCID iD: 0000-0001-5320-1154
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
Växjö: Linnaeus University Press, 2017. , p. 40
Series
Lnu Licentiate ; 3
Keywords [en]
cost-effective maintenance, failure impact, Maintenance 4.0, maintenance for Industry 4.0, maintenance framework, prioritize failures
National Category
Building Technologies
Research subject
Technology (byts ev till Engineering), Civil engineering
Identifiers
URN: urn:nbn:se:lnu:diva-68026ISBN: 9789188357809 (print)OAI: oai:DiVA.org:lnu-68026DiVA, id: diva2:1142580
Opponent
Supervisors
Available from: 2017-11-01 Created: 2017-09-19 Last updated: 2018-05-16Bibliographically approved
List of papers
1. A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study
Open this publication in new window or tab >>A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study
2016 (English)In: Proceedings of 2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) 2016 World Congress on Engineering Asset Management (WCEAM2016), Institute of Reliability Engineering , 2016, p. 1-7, article id QR2MSE2016 & WCEAM2016-0003-0038Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Reliability Engineering, 2016
Keywords
Maintenance Performance Enhancement; Failures Impacts; Competitive Advantages, Decision Making, Decision Support Systems, Maintenance Impact on Company Business, Significant Failures Identification and Prioritization
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
urn:nbn:se:lnu:diva-60782 (URN)
Conference
International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) 2016 World Congress on Engineering Asset Management (WCEAM2016, July 25-28, 2016, Jiuzhaigou, Sichuan, China
Note

Ej belagd 170314

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2018-05-16Bibliographically approved

Open Access in DiVA

Licentiate Thesis (Comprehensive Summary)(1267 kB)53 downloads
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Algabroun, Hatem

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Citation style
  • apa
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  • Other locale
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