This article needs additional citations for. Unsourced material may be challenged and removed. ( December 2007) () Concurrent engineering ( CE) is a work methodology emphasizing the parallelisation of tasks (i.e. Performing tasks concurrently), which is sometimes called simultaneous engineering or integrated product development ( IPD) using an approach.
It refers to an approach used in in which functions of design engineering, manufacturing engineering, and other functions are integrated to reduce the time required to bring a new product to market. Contents • • • • • • • • • • • Introduction [ ] A 2008 publication described concurrent engineering as a new design management system that has matured in recent years to become a well-defined systems approach to optimizing design and engineering cycles. Concurrent engineering has been implemented in a number of companies, organizations, and universities, most notably in the aerospace industry. Beginning in the early 1990s, CE was also adapted for use in the information and content automation field, providing a basis for organization and management of projects outside the physical product development sector for which it was originally designed.
Organizations such as the 's make use of concurrent design to perform feasibility studies for future missions. The basic premise for concurrent engineering revolves around two concepts. The first is the idea that all elements of a product's life-cycle—from functionality, production, assembly, testing, maintenance, environmental impact, and finally disposal and recycling—should be taken into careful consideration in the early design phases. The second concept is that design activities should all be occurring at the same time, i.e., concurrently. The idea is that the concurrent nature of these activities significantly increases productivity and product quality. This way, errors and redesigns can be discovered early in the design process when the project is still flexible. By locating and fixing these issues early, the design team can avoid what often become costly errors as the project moves to more complicated computational models and eventually into the actual manufacturing of hardware.