The bachelor’s thesis aims to identify and optimize suitable key performance indicators (KPIs) for the main process control in the Mechanical Technical Center (TSM) of voestalpine Stahl GmbH. This is highly relevant in practice, as tailored KPIs are essential to effectively monitor and optimize performance, cost, quality, and personnel areas. A coordinated use of these KPIs allows for informed, evidence-based decisions and a targeted alignment of business processes, which can enhance the overall performance of the company. The role of KPIs and process management in business data analysis, management, and process optimization is central. They serve to condense complex facts into interpretable and meaningful information that can be used to control target variables and identify improvement opportunities. The requirements for a KPI system are neutrality, consistency, a simple and transparent structure, and a high information density. The quality of KPIs is crucial and should be regularly reviewed. In the context of process management, KPIs enable target-actual comparisons and serve as a basis for controlling strategy implementation. Key KPIs defined in the Mechanical Technical Center include order intake, efficiency, delivery date reliability, and capacity, each of which has the potential for optimization. Employee participation in the development of KPIs and clear communication about the use of data are central aspects in terms of KPIs. A continuous review and adjustment of KPIs and processes for effective corporate management are considered necessary. The TSM KPI cockpit was described as an essential source of information regarding KPIs and company data. It underscores the importance of KPIs and process management in business data analysis and management. It becomes clear that a successful KPI system and process management must be tailored to the specific requirements and goals of the company.
Date of Award | 2024 |
---|
Original language | German (Austria) |
---|
Supervisor | Harald Dobernig (Supervisor) |
---|
Erarbeitung eines Kennzahlensystems zur Leistungsverfolgung des operativen Betriebes
Grossberger, L. (Author). 2024
Student thesis: Bachelor's Thesis