Engpassmanagement in der Luft- und Raumfahrtindustrie

Abstract

This bachelor thesis addresses capacity planning in the aerospace industry to avoid bottlenecks. Due to significant fluctuations in orders, companies in this sector experience a constant interplay between undercapacity and overcapacity. This leads to challenges in meeting delivery deadlines and necessitates the development of strategies to prevent or compensate for these bottlenecks to ensure high delivery reliability. The aim of this bachelor thesis is to discuss how aerospace companies can avoid or compensate for bottlenecks caused by order fluctuations through targeted capacity planning and other measures to meet their delivery commitments. The bachelor thesis examines how a company's capacity can be adjusted to bottleneck situations and provides insights into the specifics of the aerospace industry and its capacity planning. Using a case study at Peak Technology, the current situation, challenges, target concept, and implementation of optimization in the company are described. These optimizations are carried out by extending the existing APS system WayRTS to identify and optimize bottlenecks. The bachelor thesis demonstrates that regular maintenance of master and transaction data in the Enterprise Resource Planning and Advanced Planning and Scheduling systems is essential to avoid bottlenecks and ensure precise planning. Measures such as standardizing the designation of autoclave programs (where pressure, temperature, and time information are specified in a certain order), revising workplace structure, and accurately calculating lead times are crucial. An Advanced Planning and Scheduling system like WayRTS helps to identify bottlenecks early and optimize production planning. Methods such as increasing bottleneck capacity, flexible working time models, and simulations in the APS system are essential to respond flexibly to changes in production processes due to development work. The case study confirms the effectiveness of these measures and shows the necessity of continuously adapting production processes to ensure precise delivery date commitments.

Date of Award	2024
Original language	German (Austria)
Supervisor	Wolfgang Seiringer (Supervisor)