Multi-stage Project Governance using Real Options with Bayes

Scott Mathews*

Computational Finance and Stochastic Modeling

Boeing R&D Division

12 October 2006, 4:00 P.M., Mary Gates Hall 238

Real options is the science of investments applied to decision-making that enables optimal trade-offs between future uncertain benefits and near-term costs. Boeing has developed and patented a set of strategic investment decision-modeling methods and tools, based on option techniques used in the capital markets. These methods and tools appropriately value investment and risk of opportunities while assessing the likelihood of future events, and aid decision makers in designing strategies that select high-benefit outcomes while minimizing risks. Sophisticated manufacturing process ("event-driven") simulation software enables Boeing to create scenarios of future fabrication and assembly processes and associated costs for new airplane types, such as the DreamLiner 787. Cost distributions arise because of the uncertainty in defining a still technologically-immature processes involved in fabrication and assembly. Embedded in the process simulation is a business case ("time-driven") simulation with discounted cost cashflows, learning curve effects and investments. The business case creates the objective function to maximize profitability over a range of fabrication and assembly scenarios. The combination of event- and time-driven simulation techniques results in a more sophisticated approach to "business engineering" decision-making to determine optimal MR&D investments that minimize total non-recurring and recurring cost outcomes. The investments are targeted towards both recurring and non-recurring manufacturing technologies to shape a desired outcome. Investment effectiveness is the improved value of the outcome, as quantitatively determined through the simulation, for the amount of investment capital. A portfolio of technology projects can be ranked according to investment effectiveness, and return versus risk. Real options provides the method to evaluate the various cash-flow distributions to justify the worthiness of the investments in the technology portfolio.



*Scott Mathews is a Boeing Associate Technical Fellow and technical lead for the Computational Finance and Stochastic Modeling team for the Modeling and Simulation section within the Boeing research and development division. He has academic training in computer engineering, digital control systems, artificial intelligence computer science, and computational finance to go along with more than 20 years experience in the United States, Europe, and Asia as an engineer in robotic control systems, artificial intelligence, and systems and software development. Mr. Mathews also has a decade of experience in stochastic modeling, capital markets investment and financial analysis, and international strategic analysis. At Boeing he is technical lead of a group of mathematical engineers responsible for developing investment and risk models for new products and strategically significant projects. He has expertise in complex financial and investment decision modeling that features real asset option pricing. Mr. Mathews has a number of patents pending in the field.

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