Ujigami
Offering Innovative Strategies for Modern Manufacturing

The manufacturing industry stands on the brink of a transformative era, driven by unprecedented technological advancements and shifting market demands. As businesses navigate this dynamic environment, the dual imperatives of efficiency and adaptability have emerged as critical determinants of success. In a landscape characterized by rapid change, manufacturers must embrace innovative strategies and cutting-edge technologies to stay competitive and responsive to evolving needs.

Enter Ujigami.

The company epitomizes this pursuit of efficiency and adaptability by redefining how manufacturing processes are orchestrated. At the heart of the company’s innovation lies its groundbreaking platform that transforms traditional manufacturing into a dynamic, self-optimizing system.

To grasp the essence of Ujigami’s platform, imagine the experience of using a GPS in a car. You input the destination, and the GPS determines the optimal route based on real-time traffic data, road conditions, and other variables. As you drive, the system continuously monitors progress, suggesting alternative routes in response to new information such as traffic jams or accidents. If you make a wrong turn, the GPS promptly recalculates the best way to get back on track.

“We function as a sophisticated GPS for the manufacturing floor, constantly evaluating the best ways to produce each part given the current resources and constraints,” says Edward Dickson, the president of Ujigami.

As conditions change—be it machinery status, material availability, or unexpected disruptions—Ujigami dynamically adjusts the manufacturing process to ensure optimal efficiency and accuracy.

However, Ujigami’s vision extends beyond a mere navigational tool. The company draws parallels to the advancement from GPS to self-driving cars. Just as autonomous vehicles have the capability to navigate and drive without human intervention, Ujigami takes smart manufacturing to the next level by not only charting the course but also actively controlling the manufacturing process in real-time.

Ujigami’s capabilities are far-reaching. When a part begins its journey through the production line, Ujigami configures the relevant machines, ensuring they are set up precisely for the task. The platform synchronizes the arrival of components and materials, whether by releasing a kit order from the warehouse or coordinating sub-assembly lines to produce necessary parts. This seamless coordination happens autonomously, without requiring human intervention, embodying the true essence of a self-driving factory.

One example is a mid-sized injection molding firm that has been on a remarkable journey of transformation over the past eight years, thanks to Ujigami. The company began its venture into smart manufacturing by deploying Ujigami’s software in a modest capacity. One of the standout features of Ujigami is its scalability, allowing businesses to start small and expand usage as they become more familiar with its capabilities. Initially, the software was used to coordinate material delivery, ensuring the right materials and colorants were delivered to the appropriate injection molding machines, each fitted with the correct tools.

While still relying on operators, the company started to see the benefits of Ujigami’s coordination and control, setting the stage for more extensive integration and control. The system plays a critical role in the foundational phase of their lights-out smart factory, ensuring each part is produced to stringent quality standards.

Ujigami’s impact on this mid-sized injection molding company highlights the significant potential of smart factory solutions in modern manufacturing. By providing scalable, robust, and highly effective software, Ujigami enables companies to embark on a journey of continuous improvement, ultimately leading to greater efficiency, reduced costs, and enhanced productivity. As the manufacturing industry continues to evolve, Ujigami stands out as a vital partner in the quest for smarter, more automated production processes.