Engineering organizations are experiencing a rapid increase in product complexity, driven by the need to continually innovate to survive and based on the exponential increase in the use of sophisticated electronics and software content in virtually every industry. The traditional “stage gate” methods of product development with separated “silos” of data, models and information across the engineering domains of mechanical, electrical/electronics, software, controls, chemical formulations, etc. is no longer adequate to define, optimize, assess and validate the performance of today’s complex systems… and systems of systems. Collaborating virtually with globally distributed product development groups as well as suppliers and teaming partners is also becoming an increasingly critical aspect of the product development lifecycle for most industries. The risk of “business as usual” is now becoming well understood across all industries based on companies that have recently experienced systems level failures resulting in costly product recalls, warranty claims, and non-compliance with government regulations.These trends and other forces related to the rapid digitalization of all business processes and the movement towards Industry 4.0 have led to an increased focus on defining and adopting model-based processes and technologies for developing and maintaining complex systems, commonly referred to as Model-Based Systems Engineering (MBSE).
Don Tolle has over 35 years of industry experience in the disciplines of engineering R&D and model-based product design and development working with global manufacturing companies in the automotive, aerospace/defense, industrial equipment, consumer products and high-tech industries.
Don held various management positions in the PLM/CAE software and services industry involved in engineering/product development consulting, strategic planning/M&A, product management, software product development, product marketing, technology R&D, best practices development and strategic business development. Education includes a BS in Mechanical Engineering and an MBA from the University of Cincinnati. Also post graduate coursework in M&A at the University of Chicago.
For additional background, visit Don's LinkedIn profile.