{"id":7912,"date":"2024-08-05T13:51:14","date_gmt":"2024-08-05T12:51:14","guid":{"rendered":"https:\/\/identpro.de\/news\/everything-at-a-glance-the-digital-twin-in-intralogistics\/"},"modified":"2025-09-23T12:03:35","modified_gmt":"2025-09-23T11:03:35","slug":"everything-at-a-glance-the-digital-twin-in-intralogistics","status":"publish","type":"post","link":"https:\/\/identpro.de\/en\/tech-blog-en\/everything-at-a-glance-the-digital-twin-in-intralogistics\/","title":{"rendered":"Everything at a glance: The digital twin in intralogistics"},"content":{"rendered":"\n

Digital twins have established themselves as a forward-looking tool in intralogistics, production and engineering. They promise numerous advantages and raise optimization potential in order processing. But what is behind the term, where are digital twins used and what are the benefits of real-time localization in warehouse operations? <\/strong><\/p>\n\n\n\n

Major changes in the market are affecting manufacturing companies and the logistics sector: customers expect ever faster delivery on a small ecological footprint in increasingly complex global supply chains. Solutions are revealed in technological progress: IoT, AI and autonomous forklift trucks promise optimized workflows in the global marketplace. Their integration in the warehouse is accompanied by numerous challenges, from reliable operation and data security to the question of return on investment (ROI). Digital twins are on everyone’s mind in this context and serve as a platform for integrating process-optimizing technologies. They enable the simulation and optimization of virtual processes before they are implemented in the warehouse. But what exactly is behind these digital twins? <\/p>\n\n\n\n

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Definition: What is a \u201edigital twin\u201c?<\/strong><\/strong><\/p>\n\n\n\n

The digital twin is the virtual replication of a physical object, system or process. This digital representation makes it possible to collect, analyze and simulate data in order to better understand, optimize and predict the real world counterpart. The digital twin is provided with data by sensors (such as position and distance sensors, temperature sensors, optical sensors, gas and chemical sensors or force and pressure sensors) and other data sources that reflect the state, working conditions or location of the physical object. This makes it a powerful method for virtually mapping physical worlds to gain profound insights, improve decision-making and optimize processes. <\/p>\n\n\n

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Examples: \u201cdigital twins\u201d in production, engineering and logistics<\/strong><\/strong><\/p>\n\n\n\n

Digital twins are made up of a physical object that is depicted in the virtual model. It simulates the physical object and replicates it. The prerequisite for this is data (big data). The more data and the more up-to-date it is, the more meaningful the predictions of the digital twin are. Real-time data is essential in the automated factory, for example in the warehouse when using autonomous forklift trucks or robots. Networks and communication protocols that enable data exchange between the physical object and the virtual model are another key component. There are various types of digital twins that differ in terms of complexity, depth of detail, data sources and interaction options depending on the specific requirements in the area of application: <\/p>\n\n\n