Abstract
The importance of machine maintenance in the company BMW Motoren GmbH results from the growing number of manufacturing facilities and their increasing degree of automation and complexity. For these reasons, the effort of maintenance rises and in addition, there is no longer continuous transparency given in the large volume of maintenance tasks. The Master Thesis is therefore concerned with the efficient and transparent design of the existing structures and processes for the field of maintenance. As a result, the effort of maintenance can be reduced and can be made more transparent. At the beginning of the Thesis, the theoretical fundamentals of the asset management, maintenance, lean production and process management are explained, which provide the basis for the practical chapter that consists of three parts. The first part contains the analysis of all machines concerning the highest number of maintenance hours as well as production losses and the machine concepts that are far from ideal. In consideration of the existing main failures, improving measures for the most critical machines are developed for implementing. The repair process of spare parts that are required for repairing a breakdown is the subject of the second part. Within a process analysis, the current process including its weaknesses is identified. Based on the results, improving measures are defined and an ideal process is designed. In the third part, the current process of the management of maintenance tasks is analysed with the aid of a process analysis in order to make this topic more transparent. Following, a tool for the transparent illustration of all maintenance tasks is created.
Translated title of the contribution | Design of efficient as well as transparent structures and processes for the field of maintenance in the company BMW Motoren GmbH |
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Original language | German |
Qualification | Dipl.-Ing. |
Supervisors/Advisors |
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Award date | 16 Dec 2011 |
Publication status | Published - 2011 |
Bibliographical note
embargoed until 15-11-2016Keywords
- maintenance
- asset management
- lean production
- process analysis
- flow chart