Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry
Publication Type
Journal Article
Publication Date
10-2018
Abstract
Multi-variant products to be assembled on mixed-model assembly lines at locations within a production network need to be scheduled locally. Scheduling is a highly complex task especially if it simultaneously covers the assignment of orders, which are product variants to be assembled within a production period, to assembly lines as well as their sequencing on the lines. However, this is required if workers can flexibly fulfill tasks across stations of several lines and, thus, capacity of workers is shared among the lines. As this is the case for final assembly of the Airbus A320 Family, this paper introduces an optimization model for local order scheduling for mixed-model assembly lines covering both assignment to lines as well as sequencing. The model integrates the planning approaches mixed-model sequencing and level scheduling in order to minimize work overload in final assembly and to level material demand with regard to suppliers. The presented model is validated in the industrial application of the final assembly of the Airbus A320 Family. The results demonstrate significant improvement in terms of less work overload and a more even material demand compared to current planning.
Keywords
production planning, production network, mixed-model assembly lines, sequencing
Discipline
Operations and Supply Chain Management
Publication
Production Engineering - Research and Development
Volume
12
First Page
759
Last Page
767
ISSN
0944-6524
Identifier
10.1007/s11740-018-0852-x
Publisher
Springer
Citation
BUERGIN, Jens; HELMING, Sina; ANDREAS, Jan; BLAETTCHEN, Philippe; SCHWEIZER, Yannick; BITTE, Frank; HAEFNER, Benjamin; and LANZA, Gisela.
Local order scheduling for mixed-model assembly lines in the aircraft manufacturing industry. (2018). Production Engineering - Research and Development. 12, 759-767.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7815
Additional URL
https://doi.org/10.1007/s11740-018-0852-x