Projekt per år
Sammanfattning
To date, research on warehouse order-batching has been limited by reliance on rigid assumptions regarding rack layouts. Although efficient optimization algorithms have been provided for conventional warehouse layouts with Manhattan style blocks of racks, they are limited in that they fail to generalize to unconventional layouts. This paper builds on a generalized procedure for digitization of warehouses where racks and other obstacles are defined using two-dimensional polygons. We extend on this digitization procedure to introduce a layout-agnostic minisum formulation for the Order Batching Problem (OBP), together with a sub-problem for the OBP for a single vehicle, the single batch OBP. An algorithm which optimizes the single batch OBP iteratively until an approximate solution to the OBP can be obtained, is discussed. The formulations will serve as the fundament for further work on layout-agnostic OBP optimization and generation of benchmark datasets. Experimental results for the digitization process involving various settings are presented.
Originalspråk | engelska |
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Titel på värdpublikation | Optimization and Learning - 4th International Conference, OLA 2021, Proceedings |
Redaktörer | Bernabé Dorronsoro, Patricia Ruiz, Lionel Amodeo, Mario Pavone |
Förlag | Springer Science and Business Media B.V. |
Sidor | 216-226 |
Antal sidor | 11 |
ISBN (tryckt) | 9783030856717 |
DOI | |
Status | Published - 2021 |
Evenemang | 4th International Conference on Optimization and Learning, OLA 2021 - Virtual, Online Varaktighet: 2021 juni 21 → 2021 juni 23 |
Publikationsserier
Namn | Communications in Computer and Information Science |
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Volym | 1443 |
ISSN (tryckt) | 1865-0929 |
ISSN (elektroniskt) | 1865-0937 |
Konferens
Konferens | 4th International Conference on Optimization and Learning, OLA 2021 |
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Ort | Virtual, Online |
Period | 2021/06/21 → 2021/06/23 |
Ämnesklassifikation (UKÄ)
- Reglerteknik
Fingeravtryck
Utforska forskningsämnen för ”Formulation of a Layout-Agnostic Order Batching Problem”. Tillsammans bildar de ett unikt fingeravtryck.Projekt
- 1 Aktiva
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RobotLab LTH
Bagge Carlson, F., Johansson, R., Karlsson, M., Olofsson, B., Robertsson, A., Robertz, S., Haage, M., Malec, J., Nilsson, K., Nugues, P., Stenmark, M., Topp, E. A., Krueger, V., Åström, H., Mayr, M., Salt Ducaju, J., Nishimura, M., Wisbrant, J., Dürr, A., Mayr, M., Nugues, P., Klang, M., Klöckner, M., Nardi, L., Ahmad, F., Oxenstierna, J., Rizwan, M., Reichenbach, C., Bergström, J., Dell'Unto, N., Maunsbach, L., Åström, K., Blomdell, A., Soltesz, K., Magnusson, M., Fransson, P., Karayiannidis, Y., Johansson, A. T., Jia, Z., Laban, L., Wingqvist, B., Guberina, M., Jena, A., Westin, E., Frick, C., Pisarevskiy, A., Nilsson, A., Reitmann, S. & Hvarfner, C.
1993/01/01 → …
Projekt: Forskning
Utrustning
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RobotLab LTH Infrastruktur
Volker Krueger (Manager), Björn Olofsson (Manager), Yiannis Karayiannidis (Manager), Mathias Haage (Manager), Jacek Malec (Manager) & Elin A. Topp (Manager)
Lunds Tekniska HögskolaInfrastruktur