Overcoming Additive Manufacturing Surface Finishing Challenges with Automated SRF Technology

whitePaper | October 10, 2022

Advances in technology promise many advantages to manufacturers striving to overcome challenges, realize new efficiencies and gain a competitive advantage. The top trends below, collectively termed the Fourth Industrial Revolution5 or Industry 4.0, are combining to transform the modern manufacturing world.

whitePaper | August 1, 2020

The latest generation of scanCONTROL 30xx laser scanners is extremely powerful, precise and individually adaptable. The scanners are used for high-precision 2D / 3D profile and gap measurements in automation, production monitoring and quality control. For demanding surfaces such as red-hot objects or transparent objects, the patented blue laser scanners are ideally suited. This White Paper shows various applications examples and explains more about the benefits of high performance scanners.

whitePaper | June 10, 2022

Manufacturing continues to move further into the digital age, but for many small and medium-sized shops, the concept of Industry 4.0 still seems out of reach. Many of these manufacturers understand that they need to take advantage of digitization to remain competitive, but they are not sure where to begin or what technologies they can integrate For the highest return on investment (ROI). Fortunately, relatively inexpensive turnkey digital solutions have simplified this process – and made it possible for manufacturers of all sizes to realize the benefits of the Industrial Internet of Things (IIoT) with access to tool identification, inventory management and machine monitoring

whitePaper | July 7, 2022

Production scheduling primarily deals with arranging different jobs in various machines based on the timelines for each job. There can be numerous combinations of schedules possible. Production schedules can be designed to maximize the capacity utilization, minimize idle time of the machine, earliness, overall costs etc. Manual design of a schedule can be a tedious and time consuming task. There are a lot of dependencies which the scheduler needs to tweak based on a single change. Generating a production schedule targeting a specific objective function can be done using mathematical models. Mathematical models involve formulating the production scheduling problem as an optimization model wherein there is a certain objective function which needs to be optimized based on a set of constraints. Mathematical models generally outperform manually designed schedules which involve a lot of inter-dependencies among the jobs. Due to improvement in computational power, developing a production schedule using mathematical models is relatively quick and efficient.

whitePaper | September 1, 2022

A tale as old as industrialization itself. The former driven by producers, the latter by consumers. Every business is subject to the supply and demand paradigm, but manufacturing organizations in particular, since they determine the supply side of the equation. When we talk about “demand,” we are talking about the quantity of a specific good or service that consumers are willing and able to purchase during a given period of time. When we talk about “supply,” we are talking about the quantity of that specific good or service that is available to consumers.

whitePaper | November 28, 2022

Smart manufacturing is driving the manufacturing industry to modernize its software infrastructure. Whether you call it Industry 4.0 or the Industrial Internet of Things (IIoT), manufacturing is in the midst of a significant transformation. A key motivation in this push to modernize is that realtime data and dynamic decision making yield meaningful performance improvements for businesses.