Sentence examples for relevant manufacturing from inspiring English sources

Improved metallic biomaterials and the relevant manufacturing techniques are being introduced to meet this demand.

Once a design was finalized, manufacturing used the engineering bill of materials and manually added relevant manufacturing (manufacturing bill of materials) and process data (process bill of materials).

Hence, comprehensive design and improvement of continuous planning and the relevant manufacturing environment from a system perspective is a promising approach.

But, he said, Mr. Termeer and the company's other nominees "are highly experienced and bring the right credentials for the job," while "none of the Icahn nominees have the relevant manufacturing or operational experience that we need".

Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, is a form of decentralized and networked manufacturing evolving from other relevant manufacturing systems such as web- and agent-based manufacturing.

Based on the discussion of the key characteristics of CBM, the derivation of requirements that an ideal CBM system should satisfy, and a thorough comparison between CBM and other relevant manufacturing systems, we provide supporting evidence that allows us to conclude that CBM is definitely a new paradigm that will revolutionize manufacturing.

In early 2016, when the National Institute of Standards and Technology launched an "open topic" competition for a new institute to solve any industry-relevant manufacturing challenges, he was up for a new challenge.

In 1998, in the frame of the ITER EDA phase, an European R&D Programme for the Blanket Design was implemented for developing and selecting the materials and the relevant fabrication procedures for manufacturing the shielding modules of the ITER Primary Wall.

As a relevant aside, manufacturing productivity soared as output-per-labor hour improved such that total U.S. automotive manufacturing sector output grew by some $400 billion.

The following four "attitudes" shape those aspects of a company's corporate strategy that are relevant to manufacturing.

Topics include chemometrics, discriminant analysis, hyperspectral imaging, machine learning, big data, Bayesian methods, experimental design, feature spaces, and pattern recognition as relevant to manufacturing process applications, such as state and output estimation, process control, and fault detection, identification, and diagnosis.