Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research, 59, 14 (2021) available online: https://www.tandfonline.com/doi/abs/10.1080/00207543.2020.1761038
Accepted author manuscript, 1.6 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Workload Control in Additive Manufacturing Shops where Post-Processing is a Constraint
T2 - An Assessment by Simulation
AU - Thurer, Matthias
AU - Huang, Yuan
AU - Stevenson, Mark
N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research, 59, 14 (2021) available online: https://www.tandfonline.com/doi/abs/10.1080/00207543.2020.1761038
PY - 2021/7/31
Y1 - 2021/7/31
N2 - Additive Manufacturing (AM) shops typically produce high variety, low volume products on a to-order basis. Products are first created in parallel batches at a single AM station before being subjected to several post-processing operations. While there exists an emerging literature on AM station scheduling and order book smoothing, this literature has largely neglected downstream post-processing operations, which also affect overall performance. Workload Control provides a unique production control solution for these post-processing operations, but the specific AM shop structure has been neglected in the literature. Using simulation, this study shows that load balancing via the use of workload norms, as is typical for Workload Control, becomes ineffective since the norm must allow for the operation throughput time at the AM station and for its variability. A sequencing rule for the jobs waiting to be released that inherently creates a mix of jobs that balances the workload is therefore identified as the best-performing rule. These findings reinforce the principle that load limiting should be used at upstream stations whereas sequencing should be applied at downstream stations. Finally, although the focus is on AM shops, the findings have implications for other shops with similar structures, e.g. in the steel and semi-conductor industries.
AB - Additive Manufacturing (AM) shops typically produce high variety, low volume products on a to-order basis. Products are first created in parallel batches at a single AM station before being subjected to several post-processing operations. While there exists an emerging literature on AM station scheduling and order book smoothing, this literature has largely neglected downstream post-processing operations, which also affect overall performance. Workload Control provides a unique production control solution for these post-processing operations, but the specific AM shop structure has been neglected in the literature. Using simulation, this study shows that load balancing via the use of workload norms, as is typical for Workload Control, becomes ineffective since the norm must allow for the operation throughput time at the AM station and for its variability. A sequencing rule for the jobs waiting to be released that inherently creates a mix of jobs that balances the workload is therefore identified as the best-performing rule. These findings reinforce the principle that load limiting should be used at upstream stations whereas sequencing should be applied at downstream stations. Finally, although the focus is on AM shops, the findings have implications for other shops with similar structures, e.g. in the steel and semi-conductor industries.
KW - Workload control
KW - Order release
KW - Dispatching
KW - Advanced manufacturing process
KW - 3D printing
U2 - 10.1080/00207543.2020.1761038
DO - 10.1080/00207543.2020.1761038
M3 - Journal article
VL - 59
SP - 4268
EP - 4286
JO - International Journal of Production Research
JF - International Journal of Production Research
SN - 0020-7543
IS - 14
ER -