In this chapter I will talk about the German mechanical industries in the context of Industry 4.0. For the case study I chose VDMA and its associated companies. These associated companies provided their solution and illustrated their specificity for industry 4.0. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essayIndustry 4.0 indicates a fundamental change in manufacturing. The use of IT and Internet technologies has become more important in industries According to VDMA, Industry 4.0 is more of an evolution than a revolution. The VDMA has created a knowledge pool consisting of experts from an interdisciplinary team. This pool is responsible for supporting member companies and other departments of the VDMA. This VDMA control center takes digital manufacturing into account and aims to work on various elements such as networks, business models, manufacturing, policy, research, standards and norms, innovation, legal affairs, cybersecurity, humans and IT technologies.ABB which is a German a local robotics company believed that its market and customers required a more flexible approach to changing the product life cycle. There was a need for a solution that was easily transportable and redeployable for human workspaces. An innovative and easily usable programming method would reduce specific training costs. This vision led to a solution called YuMi, which provides a complete solution for the part feeding system, camera-based positions, flexible hands and cutting-edge motion control. This can help get new production up and running within hours and help companies stay one step ahead of the competition. ABB Robotics is working to reduce the barriers of IOTSP by improving integration, simplicity and better collaboration between humans and robots. Arburg is working to meet the demand for customized plastic products which is increasing. Producing it in small batches without economic availability and efficiency is a real challenge. The initial situation is that large volumes of customized products can be made in a single batch through a combination of injection, additive manufacturing, molding and the use of other Industry 4.0 technologies in an intelligent and flexible computer physics-induced manufacturing system. For this situation Arburg has arrived at the solution that requires an automated and networked production cell. They are currently working on connecting an injection molding machine with additive manufacturing using a seven-axis robot. When a user places an order, production will begin automatically. This will happen through the use of a data network that will act as a carrier of information within the products. ALS, which is a host company of Arburg, will take into account and save all parameters and transmit them to online servers. This personalized data will be fetched from the website on any device. This method can be applied to services and products. Another company, Argo-Hytos, is working on customizing production processes. The initial situation suggests that it is necessary to specify the applied technology according to the needs of the machines, and companies are working dynamically to establish a trend. After recognizing this trend, Argo-Hytos created the concept of "ZERO SET UP TIME". They are using networked components and developing their own production facilities for smart factories. They have also created a laser cube for Industry 4.0, currently operating in their factory in KraichtalGermany. This laser cube aims for cost reduction and flexibility. They are also working on the production of plastic integrated systems and related solutions. The configuration is flexible and consists of connected main components that communicate directly or via machines. Aventics is working towards intelligent pneumatics for the IoT. According to them, one of the biggest challenges of the future is improved system availability coupled with small quantity production. This will not be possible without flexibility in assembly and better equipment. Maintenance activities will need to be planned in advance, which will make intelligent equipment and networking essential in the IoT. They created a valve system as an advanced electronic system. These ultra-lightweight and compact valves support modularization. This made it possible to pre-assemble the entire function without the use of furniture. All conventional fieldbus and Ethernet protocols are supported for data flow. Once connected, pneumatic valve actuators and sensors to the valves can enable communication. Axoom, founded in 2015 as a machine tool manufacturer, is planning this transition step by step. They are working towards increasing complexity. According to them, there is a need for an open business platform that has a holistic design and encompasses an entire value chain. They are using components made by other companies and networking with each other, which has led them to create digital made-to-order manufacturing and better asset management. They also submitted daily reports to create more transparency. Bachman Electronic GmbH is working towards smart factory software concepts. They are working extensively on new automation solutions that will help bring machine building closer to Industry 4.0. They are mainly focusing on creating a vertical flow of data, which will optimize machine monitoring and service management. This will also help prevent downtime. They created a software module called a fleet management system, which takes data from the car's sensors and refines it so it can be used globally. FMS enables and increases both the quantity of data collected and its quality. FMS also helps reduce unnecessary maintenance costs and machine operating costs. Beckhoff Automation GmbH is working towards machine diagnostics and predictive maintenance. They are working on the implementation of Industry 4.0 and IoT concepts. These require a wide range of requirements, mainly for diagnostics, pattern recognition, machine optimization, predictive maintenance and data archiving. Machines generally spend a lot of time and money processing errors. This time and cost can be used in production. To avoid such future problems, there is a new analysis tool TwixCAT that can be used to correct information by storing relevant process data synchronously. The data is stored in a standardized process data format with data compression, locally in the controller, in a cloud-based solution on a server in the company network or in a public cloud, depending on your needs.)(Robert Bosch GmbH is working to use sensors to monitor the quality of products throughout the supply chain Whether sensitive components or expensive finished products: although quality is monitored almost continuously during production, knowledge of what happens during transportation. and the use of the product is often nebulous For example, no one knows for sure whether the transport conditionsspecifications are actually met or if vibrations, excessive humidity or impacts have caused invisible damage. In the worst case, components can no longer be used, resulting in high downtime costs. Solution 4.0 is called "TraQ" (Traceability and Quality). The purpose of this application is to track products along the entire supply chain. The Bosch cloud has an integrated transport package that records data relevant to product quality. These processes can be easily integrated into the business process with the help of sensors. In real time, Bosch monitors quality issues and alerts users so that countermeasures can be applied. The launch of this sensor solution, already successfully tested at Bosch, is expected in 2017. Centrum Industrial IT (CIIT) is working on mobile projection in industrial production. The researchers are working together on solutions for smart factories. A key technology for Industry 4.0 is the so-called AR, the extension of computer-aided reality. CIIT researchers at inIT have collaboratively developed technology that promises greater efficiency and convenience in the workplace without the aid of tools such as data glasses, tablet PCs or other mobile devices. The vision behind the projection-based AR environment is to produce more efficiently and intelligently by providing the right information at the right time and in the right place. Combining a high-performance projector with specific software can guide you safely and efficiently through the assembly process at your manual workstation. All necessary relevant information is projected directly onto the assembler's workplace: from a single assembly part highlighted virtually in color to a complete 3D model showing the assembly instructions. The suggested approach is based on “pick-by-vision” or “pick-by-light”. A first demonstrator has been successfully implemented in a versatile assembly system. Cognitas, a Cannon company, is working on the CyberSystem connector, which is an intelligent service for the technical documentation lifecycle. According to them, in recent decades machines, production plants and processes have become increasingly complex and the time intervals between changes due to changing needs have become shorter. Manuals for production systems originated mainly for safety reasons, but today operating companies are starting to use them for their daily work. High-quality solutions for manuals and information management are becoming a quality feature of manufacturers. Low-cost production of up-to-date documents becomes a main goal. CyberSystemConnector Collaboration uses growing networks between machine components to recognize relevant changes on machines. Cognitas and collaborators develop a virtual image of the machine that reflects its state at all times. The file format is then used to prepare the virtual images for inter-company exchange. Therefore, the content of the documentation can be provided taking into account the target group and the working situation of the users. Content provided by vendors can be integrated seamlessly. GE Digital is focusing on transforming bid data into intelligent data using cloud processing. The digitalization of manufacturing is advancing, and more and more companies are connecting data from machines and people to create networks for manufacturing. IT and OT are merging controls and processes are being digitized and the factory is becoming the smart factory. In GE it is the brilliant factory. The.