Details
| Original language | English |
|---|---|
| Title of host publication | Smart, Sustainable Manufacturing in an Ever-Changing World |
| Subtitle of host publication | Proceedings of International Conference on Competitive Manufacturing (COMA ’22) |
| Editors | Konrad von Leibzig, Natasha Sacks, Michelle Mc Clelland |
| Pages | 575-586 |
| Number of pages | 12 |
| ISBN (electronic) | 978-3-031-15602-1 |
| Publication status | Published - 4 Mar 2023 |
| Event | International Conference on Competitive Manufacturing (COMA ’22) - Stellenbosch University, South Africa Duration: 9 Mar 2022 → 10 Mar 2022 Conference number: 8 |
Publication series
| Name | Lecture Notes in Production Engineering |
|---|---|
| Volume | Part F1162 |
| ISSN (Print) | 2194-0525 |
| ISSN (electronic) | 2194-0533 |
Abstract
An efficient order picking process is required to realize short-term and on-time deliveries in distribution logistics. The selection of a suitable warehouse layout, as well as an efficient picking strategy needs to be dependent on an evaluation of the picking performance. The paper presents a procedure to compare variable layouts of distribution centers regarding their picking performance by using a simple data set. In particular, the implementation of pick face zones is investigated. By picking out of a pick face zone, replenishment for this zone is necessary as an additional process step. This picking strategy is used in practice, but there is no quantitative way to assess the impact on the picking performance depending on the layout of the distribution center. A calculation method to determine the picking performance theoretically is developed by using process times based on movement data and average distances to the layout zones. Furthermore, the comparison of the layouts with pick face zone and without pick face zone is focused, and a description of a procedure to determine the optimal size of the pick face zone is given. A further aspect of developing the procedure model is selecting the articles to be stocked in this zone. For these articles, picking time savings are expected due to shorter distances to the pick face zone. However, the additional replenishment processes must be considered by comparing the picking performance. The developed calculation method compares the picking times between layouts with pick face zone and without pick face zones. A case study in the automotive industry is conducted to apply the generated procedure. The example shows improvements in picking performance through pick face zones. Finally, the presented process model enables the comparison of different layouts regarding their picking performance and provides an approach to determine pick face zones.
Keywords
- Picking Performance, Layouts, Procedure model, Warehouse management, Distribution, Logistic processes, Picking performance
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Economics, Econometrics and Finance(all)
- Economics, Econometrics and Finance (miscellaneous)
- Engineering(all)
- Industrial and Manufacturing Engineering
Cite this
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- Harvard
- Apa
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- BibTeX
- RIS
Smart, Sustainable Manufacturing in an Ever-Changing World: Proceedings of International Conference on Competitive Manufacturing (COMA ’22). ed. / Konrad von Leibzig; Natasha Sacks; Michelle Mc Clelland. 2023. p. 575-586 (Lecture Notes in Production Engineering; Vol. Part F1162).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Development of a Procedure Model to Compare the Picking Performance of Different Layouts in a Distribution Center
AU - Schumann, Dorit
AU - Cevirgen, Cihan
AU - Becker, Julian
AU - Arian, Omar
AU - Nyhuis, Peter
N1 - Conference code: 8
PY - 2023/3/4
Y1 - 2023/3/4
N2 - An efficient order picking process is required to realize short-term and on-time deliveries in distribution logistics. The selection of a suitable warehouse layout, as well as an efficient picking strategy needs to be dependent on an evaluation of the picking performance. The paper presents a procedure to compare variable layouts of distribution centers regarding their picking performance by using a simple data set. In particular, the implementation of pick face zones is investigated. By picking out of a pick face zone, replenishment for this zone is necessary as an additional process step. This picking strategy is used in practice, but there is no quantitative way to assess the impact on the picking performance depending on the layout of the distribution center. A calculation method to determine the picking performance theoretically is developed by using process times based on movement data and average distances to the layout zones. Furthermore, the comparison of the layouts with pick face zone and without pick face zone is focused, and a description of a procedure to determine the optimal size of the pick face zone is given. A further aspect of developing the procedure model is selecting the articles to be stocked in this zone. For these articles, picking time savings are expected due to shorter distances to the pick face zone. However, the additional replenishment processes must be considered by comparing the picking performance. The developed calculation method compares the picking times between layouts with pick face zone and without pick face zones. A case study in the automotive industry is conducted to apply the generated procedure. The example shows improvements in picking performance through pick face zones. Finally, the presented process model enables the comparison of different layouts regarding their picking performance and provides an approach to determine pick face zones.
AB - An efficient order picking process is required to realize short-term and on-time deliveries in distribution logistics. The selection of a suitable warehouse layout, as well as an efficient picking strategy needs to be dependent on an evaluation of the picking performance. The paper presents a procedure to compare variable layouts of distribution centers regarding their picking performance by using a simple data set. In particular, the implementation of pick face zones is investigated. By picking out of a pick face zone, replenishment for this zone is necessary as an additional process step. This picking strategy is used in practice, but there is no quantitative way to assess the impact on the picking performance depending on the layout of the distribution center. A calculation method to determine the picking performance theoretically is developed by using process times based on movement data and average distances to the layout zones. Furthermore, the comparison of the layouts with pick face zone and without pick face zone is focused, and a description of a procedure to determine the optimal size of the pick face zone is given. A further aspect of developing the procedure model is selecting the articles to be stocked in this zone. For these articles, picking time savings are expected due to shorter distances to the pick face zone. However, the additional replenishment processes must be considered by comparing the picking performance. The developed calculation method compares the picking times between layouts with pick face zone and without pick face zones. A case study in the automotive industry is conducted to apply the generated procedure. The example shows improvements in picking performance through pick face zones. Finally, the presented process model enables the comparison of different layouts regarding their picking performance and provides an approach to determine pick face zones.
KW - Kommissionierleistung
KW - Layouts
KW - Vorgehensmodell
KW - Lagermanagement
KW - Distribution
KW - Logistikprozesse
KW - Picking Performance
KW - Layouts
KW - Procedure model
KW - Warehouse management
KW - Distribution
KW - Logistic processes
KW - Picking performance
UR - http://www.scopus.com/inward/record.url?scp=85166661657&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-15602-1_42
DO - 10.1007/978-3-031-15602-1_42
M3 - Contribution to book/anthology
SN - 978-3-031-15604-5
T3 - Lecture Notes in Production Engineering
SP - 575
EP - 586
BT - Smart, Sustainable Manufacturing in an Ever-Changing World
A2 - von Leibzig, Konrad
A2 - Sacks, Natasha
A2 - Mc Clelland, Michelle
T2 - International Conference on Competitive Manufacturing (COMA ’22)
Y2 - 9 March 2022 through 10 March 2022
ER -