Towards the Generation of Setup Matrices from Route Sheets and Feedback Data with Data Analytics
- The function or department of production control in manufacturing companies deals with short-term scheduling of orders and the management of deviations during order execution. Depending on the equipment and characteristics of orders, sequence dependent setup times might occur. In these cases for companies that focus on high utilization of their assets due to long phases of ramp up and high energy costs, it might be optimal to choose sequences with minimal setup time times between orders. Identifying such sequences requires detailed and correct information regarding the specific setup times. With increasing product variety and shorter lot sizes, it becomes more difficult and rather time intense to determine these values manually. One approach is to analyse the relevant features of the orders described in the route sheets or recipes to find similarities in materials and required tools. This paper presents a methodology, which supports setup optimized sequencing for sequence dependent setup times through constructing the setup matrix from such route sheets with the use of data analytics.
| Author: | Moritz SchröterGND, Ben LütkehoffGND, Markus Fischer, Matthias BlumGND, Volker StichORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-319-99704-9_61 |
| ISBN: | 978-3-319-99703-2 |
| ISBN: | 978-3-319-99704-9 |
| Parent Title (English): | Advances in Production Management Systems |
| Series (Serial Number): | IFIP advances in information and communication technology (535) |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Ilkyeong Moon, Gyu M. Lee, Jinwoo Park, Dimitris Kiritsis, Gregor von Cieminski |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2023/03/02 |
| Date of first Publication: | 2018/08/25 |
| Release Date: | 2023/04/20 |
| Tag: | Feedback data; Production Control; Setup time optimizing sequencing |
| First Page: | 502 |
| Last Page: | 509 |
| FIR-Number: | SV6999 |
| Name of the conference: | APMS 2018, IFIP AICT 535 |
| place of the conference: | Seoul, Korea |
| Date of the conference: | 26.08.2018-30.08.2018 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Produktionsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
