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A solid business case is highly dependent upon a strategic and intelligent technology research and development plan, or portfolio, in the early phases of product design. The embodiment of a strategic technology development plan is the identification and subsequent funding of high payoff technology areas that can maximize a companys return on investment, which entails both performance and economic objectives. This paper describes an approach whereby the high payoff technology areas may be identified to quantitatively justify resource allocation decisions and investment opportunities to meet future organizational goals. The approach includes the simulation of the impact of generic technology areas and the degree of difficulty of technological advances within said areas. The approach results in a dynamic forecasting environment whereby rapid trade-offs can be performed in the conceptual phases of design (Schweine, 2002). This environment allows for intelligently building a successful technology portfolio to facilitate a quantitative justification of a solid business case.
A proof on concept application was performed on a next-generation supersonic transport. This research provides a probabilistic design environment for the propagation of design uncertainty to the system level to assist in making more educated decisions in the early stages of design. This design uncertainty is associated with the key elements that are addressed in system design and which are captured in the appropriate design environment, namely mission requirements, vehicle attributes and technologies. The proposed environments are constructed using a meta modeling technique called Response Surface Methodology (RSM) and provide a model relating system-level responses to the mission requirements, vehicle attributes and technologies. The Mission Space Model is concerned with mission requirements exclusively and provides the ability to model an infinite set of missions. The Unified Tradeoff Environment (UTE) integrates the mission requirements, vehicle attributes and technologies in a single environment while allowing both deterministic and probabilistic analyses.
The design environments and design methods proposed in this research are demonstrated for a rotorcraft of current interest, namely the Future Transport Rotorcraft, and probabilistic applications are presented. educated decisions in the early phases of complex system design. Best Practice at Boeing: Integrated Product Development. Aimed at designing products more efficiently, improving customer service, distribution, and production process Integrated Product Development (IPD) consists of multi-functional teams that provide the communications interaction foundation for concurrent engineering efforts at Boeing Company. The teams are augmented with integrated design and manufacturing support systems that create the environment for near real-time concurrent engineering. This is an innovative approach undertaken in my opinion by the Boeing management to facilitate the product development stage and make it less costly in terms of the R&D expenditures.
In the long run it should give the Boeing company a great lever and a competitive edge over its major rivals in the aero-space industry. Market competition, driving the need to improve quality, reduce cost, and shorten cycle times, prompted Boeing to aggressively pursue concurrent engineering. While Boeing has practiced concurrent engineering over the years, top corporate management recently re-emphasized its policy to build the product right the first time, every time (Blumenschein, 2001). This re-emphasis, coupled with integrated CAD/CAM systems, provided a supportive environment for concurrent engineering. Management demonstrated the backing of its policies through organizational restructuring, and the company has moved away from functional organizations toward IPD teams that operate in a flexible matrix (Kinston, 2002).
IPD efforts focus on eliminating functional communication barriers or & quot-silos. " As a result, IPD provides the framework for Boeing's concurrent engineering efforts. This effort is a holistic, systematic approach encompassing the entire life cycle development effort from concept through disposal.
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Research essay sample on Boeing Company Development Plan
