3/24/2017 | 1 MINUTE READ

CIMdata Forms AM Strategy Consulting Practice

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The new consulting service will help industrial customers using additive manufacturing to complement or replace traditional manufacturing techniques.

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CIMdata has announced the formation of an Additive Manufacturing Strategy Consulting Practice to help clients make strategic level business decisions concerning adoption of additive manufacturing (AM) methods and techniques into their production processes.

The practice's AM services and deliverables include DFAM studies, topology optimization, lifecycle event justification, and proof of concept studies. These services are supported by CIMdata's other services including PLM processes and solutions, strategic business reviews and more. 

Leading the new practice will be James White, working as its director. White brings more than 30 years of experience in PLM, AM/3D printing and general manufacturing, including industries such as medical devices and heavy industrial. 

"We are extremely pleased that Mr. White will be leading this new practice; it dovetails directly into our PLM vision and is synergistic with several of our mature practices, including Simulation-Driven Systems Development and Manufacturing Systems Engineering," says Peter Bilello, CIMdata president. "We don't see AM as a standalone alternative, but rather as a disruptive new engineering and manufacturing method that impacts many parts of an industrial client's business processes."

The practice aims to work with industrial companies as well as software and service providers to enhance manufacturing and engineering disciplines. With the formation of this consulting practice, CIMdata says it offers a broader portfolio of strategic management consulting services for industrial organizations and solution providers who offer PLM-enabling business solutions, including PDM, BIM, IoT, 3D visualization, augmented reality, and collaboration solutions.

"We see AM in industrial situations as a work stream of PLM; AM doesn't happen in a vacuum if it's for industrial purposes," says Bilello. "Things need to be considered spanning ideation, simulation, design methodology (for example, generative or conventional design methods), product costing and profitability management, the manufacturing method to be used, and utilization of supply chain management. We expect AM to be adopted in complementary and revolutionary ways."

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