Qualification of laser based additive production for manufacturing of forging Tools

whitePaper | August 8, 2022

Similar to a perfect storm, manufacturers have been navigating a unique time of multiple challenges including supply-chain disruptions, economic uncertainties, and worker shortages. Digital transformation is supposed to ease these strains. Digitizing processes and adopting the right technologies can help achieve cost efficiencies, allow for scalability and growth, and overcome talent gaps

whitePaper | April 1, 2022

Nowdays, Manufactures are under pressure from the competition, Small orders, shortened delivery term, supplier audits, employee shortage, economies difficulties, etc. smart Manufacturing is the answer to these difficulties.

whitePaper | May 11, 2020

In manufacturing, the slightest deviation can have significant repercussions. This guide presents solutions, in the form of best practices, that will help quality and production managers solve their productivity issues and implement near-line and in-line automated dimensional inspections.

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 | March 16, 2022

What is lights-out warehousing? The simple answer is a facility without people. One that relies entirely on automated equipment, to the point that no manual touches are necessary. With no employees required on the floor, operations do not need to turn the lights on, hence the term “lights-out warehousing.”

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