Dynamic simulation analysis for various numbers of orders in an integrated car-manufacturing warehouse
Document Type
Article
Publication Date
1-1-2023
Abstract
The order-picking process in a warehouse is critical in managing customer orders, especially in retail stores. It is expensive because fulfilling online orders takes up to 70% of all warehouse activities. Procedures in order picking, including different route selection schemes, can significantly increase yield and reduce costs. The research shows that a suitable routing method can reduce the travel time of the order picker to fulfill the order. However, the number of orders may vary. This paper presented a dynamic simulation analysis based on a real scenario of a various number of orders in an integrated car manufacturing warehouse. The simulation reduced the travel time of the voters by about 44.89%. This simulation model helps to visualize the potential reduction in customer waiting times, leading to increased customer satisfaction.
Keywords
Dynamic Simulation, Order Picking, Shortest Path
Divisions
MathematicalSciences
Publication Title
International Journal of Industrial Engineering-Theory Applications and Practice
Volume
30
Issue
1
Publisher
Univ Cincinnati Industrial Engineering
Publisher Location
UNIV CINCINNATI, CINCINNATI, OH 45221-0116 USA