Growing the Lean Community An LAI Plenary Conference Understanding Risk and Uncertainty April 10, 2001 Presented By: John Deyst MIT Research Sponsored LAI Lean Aerospace Initiative Advanced DSM model example Relative Probability Joint PDF of Cost and Schedule for (real) PD process 180 170 160 150 140 130 Schedule (days) 2 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology 120 550 600 650 700 750 Cost ($k) 800 850 900 From Browning, 1998 web.mit.edu/lean Lean Aerospace Initiative Evolution of Performance 1050 1000 950 900 850 800 750 700 0 20 40 60 80 100 120 140 Project Time (t, days) From Browning, 1998 3 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Value Creation Graph Created by James Chase 4 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Hypotheses ➢Product development is an investment ➢Uncertainty and risk are inherent, to varying degrees, in all product developments ➢Risk is the probability that the product requirements will not be achieved, thus imperiling the investment 5 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Hypotheses (cont.) ➢Quantifying uncertainty and risk will enable better management of product developments ➢Value in product development is the amount by which risk is reduced per unit of resource expended ➢Balancing risk across all aspects of product development is a significant lean principle 6 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Design Parameters vs. Performance Measures Design Design Parameters Parameters (many) (many) (e.g. - L / D, η , w / w 1 Functional Functional Relationships Relationships f ) 7 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology (e.g.- Breguet Range Equation) Performance Performance Measures Measures (not (not so so many) many) (e.g. – Range) web.mit.edu/lean Lean Aerospace Initiative Large Large Uncertainty Uncertainty In In Many Many Design Design Parameters, Parameters, Hence Hence Large Large Risk Risk to to Performance Performance Measures Measures (initial state) 8 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology Viewing Product Development Uncertainty Reduction Product Product Development Development Small Small Uncertainty Uncertainty In In Design Design Parameters Parameters and and Performance Performance Requirements Requirements Met Met (final state) web.mit.edu/lean Lean Aerospace Initiative Evolution of Knowledge of Performance 2.5 Requirement 2 Mature Design 1.5 1 Immature Design Risk of Failure! 0.5 0 0 5 10 15 20 Performance 9 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Basic Assumptions ➢Effective product developments have the following characteristics ➢Processes are well calibrated so that error biases and trends are negligible ➢As new information is generated it is combined with old Information according to the relative qualities of new and old ➢All productive activities serve to reduce uncertainty 10 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Product Development Model ➢From these assumptions information theory yields the following differential equationdp = −up2 dt Rate of change of uncertainty variance Effectiveness of the expended effort Square of the variance of 2 uncertainty ( p = σ ) ➢Rate of variance reduction is proportional to ➢ effectiveness ➢ square of variance 11 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Uncertainty Reduction Derived from the Model Standard Deviations of L/D Estimation Errors Upper Curve-2 Wk Spending Rate Ramp Up Lower Curve-Constant Spending Rate 1.6 Standard Deviation 1.4 1.2 1 0.8 0.6 0.4 0.2 0 0 1 2 3 4 5 6 7 8 9 10 Time (wks) 12 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Multi – Parameter /Multi Activity Product Development ➢Parameters are an array (n dimensional design vector) ➢Uncertainty is a matrix (n x n covariance) l T P = -PH UHP Rate of change of uncertainty 13 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology Effectiveness matrix Activity matrix Uncertainty matrix web.mit.edu/lean Lean Aerospace Initiative Model of a Transport Aircraft Preliminary Design Study ➢Design Parameters-(3 dimensional) ➢Lift – to – Drag Ratio ➢Overall Efficiency L/D (η ) ➢Initial to Final Weight Ratio (w / w ) 1 f ➢Performance Measure-(1 dimensional) ➢Range > 13,000 km ➢Product Development Activities ➢Aerodynamic design ➢Propulsion System Design ➢Structural Design 14 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean Lean Aerospace Initiative Model of a Transport Aircraft Preliminary Design Study (cont.) ➢ Initial design parameter estimates indicate range>13,000km ➢ Uncertainty in these estimates produces a probability of 0.4 that the final product will not meet the requirements (unacceptable risk) ➢ Preliminary PD effort will refine the design and reduce uncertainty by a factor of 5 ➢ Initial Plan-spend $500K over a 10 week period to refine the design and reduce uncertainty by the required factor of 5 ➢ Final Plan- for the same reduction in uncertainty, but by balancing risk over the three activities, the cost is reduced by 13% (saves $66K) 15 - PD Deyst - 041001 © 2001 Massachusetts Institute of Technology web.mit.edu/lean