How Blockchain is Impacting Industrial Manufacturing and Supply Chain Logistics

whitePaper | July 17, 2020

We launched a new product back in late 2019 called GrabCAD Shop. The idea was simple. We wanted to build a solution to make the 3D printing work order management process better—less manual, more integrated, and more cost effective.Now, GrabCAD Shop is the only 3D printing work order management software on the market. It’s the only solution built specifically for 3D print shops. It’s proven to streamline 3D printing workflows, easy to set up with little to no IT involvement, and secure.

whitePaper | June 20, 2022

The ultimate goal for composite manufacturing is the fully automated production of complex composite structures. This is being accomplished for unreinforced plastics and metals with modern Additive Manufacturing (AM) technologies. Automated Fiber Placement (AFP) achieves automated thermoset composite lay-up but requires an autoclave or other post process.

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 | July 31, 2022

Additive Manufacturing (AM) developments go back several decades, but stereolithography was the first commercial use of AM in the late 1980s using polymeric materials, and was widely used initially in the automotive industry sector. The aerospace industry adopted AM in the mid-1990s using polymer AM parts for non-structural production applications, and there are now a multitude of AM parts on commercial aircraft such as air ducts, brackets, and clips.

whitePaper | December 22, 2022

Minimizing downtime and increasing production efficiency is one of the main goals of an effective maintenance strategy. Knowing the working hours, operating parameters, and consumption of one’s assets is the starting point for identifying operating conditions, studying their behavior, finding anomalies, and understanding the reasons for individual downtime. In this way, using different algorithms, it is possible to achieve the ideal strategy

whitePaper | February 24, 2020

This white paper is part of AMT’s resource library on transformative technologies. There is enormous opportunity for learning, collaboration, and investment between the manufacturing and technology communities to accelerate innovative solutions and product development in the coming decade. Industry leaders agree that every part of the manufacturing value chain will be transformed by technology-R&D, the supply chain, factory operations, sales, and service. Digital connectivity among designers, managers, workers, customers, and physical industrial assets will unlock enormous value and change the manufacturing landscape.