Abstract
Due to shorter product development cycles, increasing product complexity and a greater number of variants, manufacturing companies are facing ever greater challenges to maintain their position on the market. For this reason, it is becoming increasingly important for companies to develop products that delight customers and can also be produced cost-effective. To achieve this, cost-effective procurement of components and parts is becoming increasingly important. Currently, it is becoming more apparent than ever that the procurement of purchased parts is associated with high risks (delivery delays, communication problems, production downtimes, etc.). As a result of this uncertainty, there is a frequent occurrence of faulty parts, whereby analysing why often proves to be very difficult. Based on this problem, a digital monitoring tool is being developed as part of this project together with the cooperation partner Siemens Mobility Austria GmbH at the Graz Eggenberg site, with the help of which the evaluation of past data from an ERP system is to be facilitated to identify possible improvements and minimise future missing parts. The theoretical basis is provided by both an explorative and a systematic literature review, which were carried out in the first two chapters of this thesis. Initial tests of this monitoring tool to identify potential missing parts were very promising, meaning that the cooperation partner now has another tool at its disposal that can be used to move from reactive to proactive and preventive missing parts management.
Translated title of the contribution | Options for managing missing parts using the example of a railway manufacturer |
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Original language | German |
Qualification | Dipl.-Ing. |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 20 Dec 2024 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
no embargoKeywords
- missing parts management
- material logistics
- procurement logistics
- risk management
- supply chain optimization
- supply chain risks