Unplanned downtime and production loss due to equipment failure is one of the leading losses for manufacturers. Most shops perform maintenance on a fixed schedule or on failure. This means a machine will be maintained regardless of how often it is used and unexpected breakdowns will stop production.
Modernizing the smaller shop with the latest digital tools available from enterprise resource planning (ERP) software developers
As additive manufacturing emerges from a long infancy, the industry is grappling with a key challenge: A file format and design tools from the 20th century are being asked to do 21st century jobs.
A dynamic safety concept has been implemented in the Industrie 4.0 demo production plant of the SmartFactoryKL consortium on the basis of an industrial, Ethernet-based communications protocol.
With additive manufacturing (AM) as an established part of many companies’ product development and manufacturing processes, there has been a greater understanding of the technology’s technical and business advantages. With that, more users are benefitting from lighter and more durable parts, increased design freedom and on-demand part production.
Data management and the maintenance of clean, usable data for asset performance metrics pose great challenges for manufacturers today.
In the last seven to eight years, solid-state lasers have come to dominate laser welding and cutting,” said Tom Bailey, product specialist for Trumpf Inc. (Farmington, CT). While Trumpf still produces CO2 lasers, for most applications solid-state lasers literally outshine them.
We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.
For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.
Data mining and Big Data are hot topics. Your company develops process mining software; how does it differ from data mining?