@inproceedings{456e55bfd2454d609d93066f9f76a6d3,
title = "Formulation of a Layout-Agnostic Order Batching Problem",
abstract = "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.",
keywords = "Order Batching Problem, Vehicle Routing, Warehouse digitization",
author = "Johan Oxenstierna and {van Rensburg}, {Louis Janse} and Jacek Malec and Volker Krueger",
year = "2021",
doi = "10.1007/978-3-030-85672-4_16",
language = "English",
isbn = "9783030856717",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media B.V.",
pages = "216--226",
editor = "Bernab{\'e} Dorronsoro and Patricia Ruiz and Lionel Amodeo and Mario Pavone",
booktitle = "Optimization and Learning - 4th International Conference, OLA 2021, Proceedings",
address = "United States",
note = "4th International Conference on Optimization and Learning, OLA 2021 ; Conference date: 21-06-2021 Through 23-06-2021",
}