Design of V-Type Warehouse Layout and Picking Path Model Based on Internet of Things

Abstract

Mobile computing provides useful, accurate, and timely information to any customer at any time and any place, which greatly changes the traditional way of reading data in the warehouse. The shelf layout of a warehouse center is one of the important factors affecting the efficiency of operation. Modern distribution centers use the mobile computing technology to store warehouse data, and these new layouts can significantly reduce the order turnover time and cost. This paper focuses on order picking at a storage center, a real-time communication system using data read-write devices, removes the limitation of the picking channel being a straight line and performs the curve design of the main channel of V-shaped and fishbone layouts. Using mobile computing technology, we can obtain the order position in real time and store relevant data, gather the order in time, and reduce the operating costs. Afterward, we built a storage area utilization model with the main channel selected as the curve and a stochastic model of return-type picking path with the main channel as the curve and verified the effectiveness of the mathematical model through simulation using the MATLAB software.

Keywords

• Curved channel
• mobile computing
• random memory type
• return-type picking
• V-shaped layout