| dc.description.abstract | The world has encountered the terrible impact of Covid 19 pandemic, including the global
economy and industry. Many organizations try to improve their system to reduce the cost and
increase efficiency, especially in Logistics and Supply Chain area. Warehouse, one of the most
important parts of Supply chain, is always the area need to be improved. For a picking process in
warehouse, the items are grouped into various batch to minimize the total tardiness. This paper
suggests the order batching model with two different approaches: the mathematical model using
Cplex and grouped genetic algorithm model using Python. The first model could only solve with
small instance in reasonable computing time while the second model is developed to deal with
larger instances. Then, the routing method is proposed after batching and compared with three
popular routing strategy to evaluate the performance. | en_US |
