Picking operations inside a warehouse are the major share of the total costs of retailing operations. Optimization and harmonization of operations is therefore crucial in the economy of a successful business. In this paper we consider the case of a leading German grocery retailer company and we adapt to their case a Mixed Integer Linear Program solving the order batching, assignment and pickers routing problems. Improvements to the model are also discussed, Computational experiments are finally presented, validating the different models and ranking them in terms of their applicability to real scenarios.
Pretolani, D., Chou, X., Loske, D., Klumpp, M., Montemanni, R. (2023). Mathematical Models for Order Batching and Assignment in a Deep-Frozen Warehouse. In M. Shafik (a cura di), Advances in Intelligent Traffic and Transportation Systems Proceedings of the 6th International Conference on Intelligent Traffic and Transportation (ICITT), Incorporating the 6th International Conference on Communication and Network Technology (ICCNT), 25–27 September 2022, Paris, France (pp. 158-168). Ios Press [10.3233/atde230020].
Mathematical Models for Order Batching and Assignment in a Deep-Frozen Warehouse
Chou, X;
2023
Abstract
Picking operations inside a warehouse are the major share of the total costs of retailing operations. Optimization and harmonization of operations is therefore crucial in the economy of a successful business. In this paper we consider the case of a leading German grocery retailer company and we adapt to their case a Mixed Integer Linear Program solving the order batching, assignment and pickers routing problems. Improvements to the model are also discussed, Computational experiments are finally presented, validating the different models and ranking them in terms of their applicability to real scenarios.
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