Research on Automation Control of University Logistics Management System Based on Wireless Communication Network

Nowadays, individuals with and without technical knowledge have started utilizing the technology to a broader extent. The utilization of technology has gone deeper concerning gadgets that aid in wireless communication with anyone or anything. This advancement has paved the way for a trending technology named wireless communication network (WCN) in recent years. In addition to this, there has been a significant change and development in the field of trading goods. Manual ordering of goods has changed to online ordering, and hence, supply chain management. This research focuses on applying WCN to a logistic tracking information system (LTIS) for a university with automatic control of the system. A novel algorithm named intelligent logistics system construction algorithm is implemented to evaluate the efficiency and performance of data. This model aids in the tracking goods and automatic control of university logistics.

Design and Implementation of University Central Kitchen Logistics Management System

In order to improve the level and efficiency of university catering management, the central kitchen model is introduced into university catering logistics management, and on this basis, the logistics management information system based on central kitchen mode is proposed. This paper first analyzes the shortcomings of traditional college food management mode and introduces the concept, factors and characteristics of the central kitchen management mode. Then the requirements of the central kitchen management system are analyzed comprehensively and the requirements are modeled by UML. Combining the central kitchen management mode with information technology, the realization scheme and technical route of the system are discussed. The software structure, data model and workflow of the system are designed. Based on the above design and B/S mode, we developed the corresponding software system. The results show that the system improves the work efficiency and reduces the cost. The university logistics management system based on central kitchen has high practical value and application prospect.

A Logistics Management System for a Biomass-to-Energy Production Plant Storage Park

The biomass industry is growing due to the current search for greener and more sustainable alternatives to fossil energy sources. However, this industry, due to its singularity, presents several challenges and disadvantages related to the transportation of raw materials, with the large volumes that are usually involved. This project aimed to address this internal logistics situation in torrefied biomass pellets production with two different biomass storage parks, located in Portugal. The main park receives raw material coming directly from the source and stores it in large amounts as a backup and strategic storage park. The second park, with smaller dimensions, precedes the production unit and must be stocked daily. Therefore, a fleet of transport units with self-unloading cranes is required to help to unload the biomass at the main park and transport the raw material from this park to the one preceding the production unit. Thus, the main goal was to determine the dimensions of the fleet used in internal transportation operations to minimize the idle time of the transport units using a methodology already in use in the mining and quarrying industry. This methodology was analyzed and adapted to the situation presented here. The implementation of this study allows the elimination of unnecessary costs in an industry where the profit margins are low.

An Integrated Hardware and Software Platform for Control of Automatic Ground Vehicles

With the development of factory automation, intelligent manufacturing system technology, and three-dimensional automated warehouses, an automatic ground vehicle (AGV) became an essential part of controlling the discrete logistics management system within a facility. The scope of the AGV application and technical capability have been rapidly developed in recent years. However, it is highly time-consuming and resource-intensive to develop a comprehensive AGV platform in both industrial setting and academic environment to design and control of an AGV system. This paper introduces a platform for conducting AGV research and deployment, which consists of the hardware prototyping and entire software system development. By using this platform, users can readily develop customized AGV systems or verify their self-developed algorithms.