Automation and digitization of processes in a production company to induce faster and more effective operations while eliminating errors during the production process.
Automation and digitalization of processes in a production company enable effective maintenance, errors elimination, and adaptation of requirements to new products. The example shows a tool for digitizing the assembly instructions.
The production line employees work on verified and step-by-step manuals with automated and digitized documentation transfers. As part of introducing such activities, both operators and production managers fully understand the tasks’ progress and issue monitoring.
|Client||Garden tools producer|
|Business need||assembly automation tool|
|Scope||concept, design, UI/UX, interactive mockups|
The production planning and validation module allow the user to monitor the process’ progress. The admin observes the task’s progression, assigns roles and tasks, dives into subtasks and projects, and plans future work.
As part of the UX and UI design works, there are two modes of content displaying. Dark and light modes intend to meet the individual user’s needs.
The tool has a built-in module for creating interactive assembly manuals to eliminate errors. Divided into steps, it makes it possible to preview activities, check and visualize the available
parts, and monitor progress. It is possible to skip this step. After approval by the admin, the user moves on to the next step.
Automation and process digitization results in fast and effective operations with eliminated errors during the production process. For manufacturing companies, smooth digital operations guarantee well-performed processes, both by the operators and production managers. Visual process modeling enables complete control over the production processes.
Intuitive flow builder with interactive improve fasten assembly manuals operations. Thanks to progress monitoring and live alerting, the presented tool enables complete insight into a particular production stage. It’s easier to get rid of paper manuals and chaotic work organization to free the processes from errors.
Intuitive flow builder module
Visual modeling of processes
A digital factory is a concept that leverages digital technologies and data-driven processes to optimize manufacturing operations. It integrates technologies such as automation, Internet of Things (IoT), artificial intelligence (AI), and data analytics to improve efficiency, productivity, and quality in the manufacturing process. It enables real-time monitoring, predictive maintenance, optimized production scheduling, and seamless communication across the factory floor.
Digital manufacturing refers to the use of digital technologies throughout the entire manufacturing lifecycle. It involves the integration of digital tools, such as computer-aided design (CAD), simulation, virtual reality, and advanced analytics, to enhance product design, production planning, and manufacturing execution. Digital manufacturing aims to streamline operations, reduce costs, accelerate time to market, and enable greater customization and flexibility in manufacturing processes.
Building a digital factory involves several key steps. First, it requires digitizing and connecting the various components of the manufacturing process, including machines, equipment, and sensors, to create a digital ecosystem. Next, implementing data collection and analysis capabilities allows for real-time monitoring and insights. Integration of automation and robotics technologies enhances efficiency and productivity. Additionally, adopting cloud-based platforms and advanced analytics enables data-driven decision-making and predictive maintenance. Continuous improvement and upskilling of the workforce are also crucial to successfully build and operate a digital factory.
Digital factory software refers to specialized software applications designed to support digital manufacturing operations. These software solutions provide functionalities such as product design and simulation, production planning and scheduling, inventory management, quality control, and real-time monitoring and analytics. They enable the integration of data from various sources, facilitate communication and collaboration across different teams and departments, and provide insights for optimization and process improvement.
There are various examples of digital factories across industries. For instance, in the automotive industry, companies like BMW and Audi have implemented digital manufacturing technologies to optimize their production processes and enhance quality control. Siemens has developed its own digital factory concept, integrating automation, robotics, and data analytics across its manufacturing operations. General Electric’s Brilliant Factory initiative focuses on leveraging digital technologies to improve productivity and reduce downtime in their manufacturing facilities. These examples demonstrate the potential of digitalization in transforming traditional manufacturing into more efficient and agile processes.
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