Advanced Quality Control Consulting Partnership Expands DataNet’s Growing Services
DataNet Quality Systems has formally partnered with Integral Concepts, Inc., a quality consulting and training firm, to deliver a comprehensive manufacturing quality control solution. Through the partnership, DataNet offers customers an expanded range of advanced quality control, R&D, consulting, and training services, the goal of which is to provide expertise throughout every stage of the quality lifecycle – from product design through shop-floor quality assurance.
“Many of our Fortune 500 manufacturing customers are looking for quality-related statistical and analytical consulting in addition to our software solutions,” said DataNet president, Ned Greenberg. “Integral Concepts offers an extensive set of consulting services that focus on design-for-quality, problem-solving, process optimization, and manufacturing process analytics training. Integral Concepts has an impressive track record, superior credentials, and significant successes in the manufacturing industry. I have been impressed by the breadth and depth of their expertise and am confident that our customers will gain exceptional value from their services.”
Integral Concepts, Inc. provides manufacturing operations, product design, and R&D consulting services to Fortune 500 manufacturers. Using mathematics, statistics, and engineering methods, Integral Concepts delivers significant improvements to manufacturers’ product quality, product reliability, customer satisfaction, and profitability – from “concept to customer.”
Some examples of new services offered to DataNet customers through the Integral Concepts partnership include:
- Providing advanced training in the use of statistical and optimization methods for manufacturing operations, product design, and R&D
- Identifying reasons for suboptimal process behavior and providing improved design and production settings to achieve long-term goals
- Analyzing production processes to minimize equipment downtime and achieve product reliability and robustness goals
- Optimizing tool life
- Providing realistic estimates of the risk of field failures for automotive and aerospace components, consumer products, medical devices, and more