Titel: On the development of a maintenance approach for factory of the future implementing Industry 4.0
Fakultet: Fakulteten för teknik
Datum: Onsdagen den 23 augusti 2017 kl 10.15
Plats: Sal N1017, hus N, Växjö
Opponent: Docent Anders Skoogh, Chalmers tekniska högskola
Examinator: Professor Girma Kifetew, Institutionen för skog och träteknik, Linnéuniversitetet
Handledare: Professor Basim Al-Najjar, Institutionen för maskinteknik, Linnéuniversitetet
Ordförande: Docent Mirka Kans, Institutionen för maskinteknik, Linnéuniversitetet
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
- a mathematical representation and application of a model that identifies, analyses and prioritizes economic weakness in working areas related to production,
- a model that analyses, identifies and prioritizes failures that impact the competitive advantages and profitability of companies,
- characterization of a suitable maintenance technique for Industry 4.0 and
- 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 able to 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.