Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-28615Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sedding, Helmut A. | - |
| dc.date.accessioned | 2023-09-08T13:27:43Z | - |
| dc.date.available | 2023-09-08T13:27:43Z | - |
| dc.date.issued | 2023-09-02 | - |
| dc.identifier.issn | 1094-6136 | de_CH |
| dc.identifier.issn | 1099-1425 | de_CH |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/28615 | - |
| dc.description | Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch) | de_CH |
| dc.description.abstract | Car mass production commonly involves a moving assembly line that mixes several car models. This requires plenty of material supplies at the line side, but available space is scarce. Thus, material is placed apart from ideal positions. Then, picking it up involves walking along the line. This time is non-productive and can encompass 10–15% of total production time. Thus, it is important to estimate and minimize it during production planning. However, the calculations are difficult because the conveyor continuously moves. Therefore, most literature bounds walking time by a constant, but this discards valuable potential. To better approximate it, we use a time-dependent V-shaped function. A comparison indicates that for a majority of instances, constant walking time estimates of 95% confidence are at least 51% higher. Then, we introduce a model to optimize material positions such that the model-mix walking time is minimized. This poses an NP-hard sequencing problem with a recursive and nonlinear objective function. Our key discovery is a lower bound on the objective of partial solutions, established by a Lagrangian relaxation that can be solved in quadratic time. Resulting branch and bound based algorithms allow to quickly and reliably optimize up to the largest real-world sized instances. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | Springer | de_CH |
| dc.relation.ispartof | Journal of Scheduling | de_CH |
| dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
| dc.subject | Scheduling | de_CH |
| dc.subject | Moving assembly line | de_CH |
| dc.subject | Walking time | de_CH |
| dc.subject | Material placement | de_CH |
| dc.subject | Mixed-model production | de_CH |
| dc.subject.ddc | 658.5: Produktionssteuerung | de_CH |
| dc.title | Mixed-model moving assembly line material placement optimization for a shorter time-dependent worker walking time | de_CH |
| dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Datenanalyse und Prozessdesign (IDP) | de_CH |
| dc.identifier.doi | 10.1007/s10951-023-00787-5 | de_CH |
| dc.identifier.doi | 10.21256/zhaw-28615 | - |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.webfeed | Datalab | de_CH |
| zhaw.webfeed | Industrie 4.0 | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Sedding_Mixed-model-moving-assembly-line-material-placement-optimization.pdf | 680.43 kB | Adobe PDF |  View/Open |
Show simple item record
Sedding, H. A. (2023). Mixed-model moving assembly line material placement optimization for a shorter time-dependent worker walking time. Journal of Scheduling. https://doi.org/10.1007/s10951-023-00787-5
Sedding, H.A. (2023) ‘Mixed-model moving assembly line material placement optimization for a shorter time-dependent worker walking time’, Journal of Scheduling [Preprint]. Available at: https://doi.org/10.1007/s10951-023-00787-5.
H. A. Sedding, “Mixed-model moving assembly line material placement optimization for a shorter time-dependent worker walking time,” Journal of Scheduling, Sep. 2023, doi: 10.1007/s10951-023-00787-5.
SEDDING, Helmut A., 2023. Mixed-model moving assembly line material placement optimization for a shorter time-dependent worker walking time. Journal of Scheduling. 2 September 2023. DOI 10.1007/s10951-023-00787-5
Sedding, Helmut A. 2023. “Mixed-Model Moving Assembly Line Material Placement Optimization for a Shorter Time-Dependent Worker Walking Time.” Journal of Scheduling, September. https://doi.org/10.1007/s10951-023-00787-5.
Sedding, Helmut A. “Mixed-Model Moving Assembly Line Material Placement Optimization for a Shorter Time-Dependent Worker Walking Time.” Journal of Scheduling, Sept. 2023, https://doi.org/10.1007/s10951-023-00787-5.
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