IMPROVING MONITORING OF EQUIPMENTS IN LOGISTIC’S SYSTEM

Abstract

In the fast-paced world of logistics, equipment management can be a costly and time-consuming setback. From transport vehicles to warehouse machinery, monitoring these crucial assets and their spare parts is essential for maintaining efficient operations. In this document, there will be presented the possibility of data processing automatization, through various classifications of arms and equipment and calculations, as well, which can improve the way of monitoring quantitative and qualitative parameters of items. This would increase the efficiency and effectiveness of the logistics system in one specific organization, the army. Throughout this article, there will be explored an innovative way to improve equipment monitoring in logistics systems and optimize supply chain management, according to the modern trends of automation and data exchange in manufacturing technologies, including cyber-physical systems, the Internet of Things, cloud computing, and cognitive computing, known as Industry 4.0. The most essential part of it, Quality 4.0, will help the integration of management tools into the quality and quantity control process. The main objective of this article is to show the new model of equipment management in quality products, and optimization processes using real-time data analytics, in order to reduce defects, provide greater responsiveness and reduce the strains on human resources.