Abstract
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.
Highlights
Human resource advantages such as reduced costs have dwindled as China’s economy has grown consistently
This paper focused on evaluating the automatic control of logistic management systems in universities using wireless communication networks
Unlike traditional logistics tracking information optimization techniques, Wireless sensor networks (WSN) optimization compares the order of tasks of logistics tracking instead of finding the common part of the expression
Summary
Human resource advantages such as reduced costs have dwindled as China’s economy has grown consistently. Increasing labor costs mean Chinese companies are losing market share to their foreign competitors. These companies must replace human labor with automated production technologies in order to cut operational costs and stay competitive [1]. There are logistics companies that use business process restructuring and modern logistics information technology extensively to control and integrate all logistics-related information, thereby realising the sharing and effective use of internal as well as external resources of information and enhancing the economic benefits of the company and its core competitiveness [4]. This paper focused on evaluating the automatic control of logistic management systems in universities using wireless communication networks
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