| dc.description.abstract | Nowadays, the demand for item procurement is quickly expanding, posing obstacles and
difficulties for the supply chain in general and the warehouse in particular. Warehouses
must be adaptable in order to satisfy the demands of consumers. Furthermore, rising
customer demand requires warehouses to be flexible in order to organize items in the
most efficient manner. This resulted in a complete structural alteration in the warehouse
layout. Order picking is a necessary action that accounts for the majority of operational
costs while doing warehouse operations. This thesis will go on to create a mathematical
model based on batch picking in a warehouse system using multi-storage locations to
minimize picker travel distance. and to assist in resolving this issue, this thesis will be
presented and based on FPT Retail data. This will lessen the time required to choose
items while also assisting the warehouse in operating efficiently and satisfying client
expectations. IBM ILOG CPLEX Optimizer will be used in the thesis for the purpose of
giving the best results when applying mathematical models. | en_US |
