The future of space mission designing will be dramatically different from the past. Formerly, performance-driven paradigms emphasized data return with cost and schedule being secondary issues. Now and in the future, costs are capped and schedules fixed-these two variables must be treated as independent in the design process. Accordingly, JPL has redesigned its design process. At the conceptual level, design times have been reduced by properly defining the required design depth, improving the linkages between tools, and managing team dynamics. In implementation-phase design, system requirements will be held in crosscutting models, linked to subsystem design tools through a central database that captures the design and supplies needed configuration management and control. Mission goals will then be captured in timelining software that drives the models, testing their capability to execute the goals. Metrics are used to measure and control both processes and to ensure that design parameters converge through the design process within schedule constraints. This methodology manages margins controlled by acceptable risk levels. Thus, teams can evolve risk tolerance (and cost) as they would any engineering parameter. This new approach allows more design freedom for a longer time, which tends to encourage revolutionary and unexpected improvements in design.
[1]
N. Anderson,et al.
The team climate inventory: Development of the tci and its applications in teambuilding for innovativeness
,
1996
.
[2]
K. Clark,et al.
Lead time in automobile product development explaining the Japanese advantage
,
1989
.
[3]
Michael A. West,et al.
The social psychology of innovation in groups.
,
1990
.
[4]
M. Hammer,et al.
Reengineering the Corporation
,
1993
.
[5]
Loyd Baker,et al.
Model Driven System Design Working Group: FOUNDATIONAL CONCEPTS FOR MODEL DRIVEN SYSTEM DESIGN
,
1996
.
[6]
D. Smith,et al.
Modeling and Project Development
,
1998
.
[7]
Loyd Baker,et al.
FOUNDATIONAL CONCEPTS FOR MODEL DRIVEN SYSTEM DESIGN
,
2000
.
[8]
David B. Smith,et al.
Team Efficiencies Within a Model-Driven Design Process
,
1999
.
[9]
N. Anderson,et al.
Measuring climate for work group innovation: development and validation of the team climate inventory
,
1998
.
[10]
J. R. Crookall,et al.
Design for Economic Manufacture
,
1986
.
[11]
P. Estabrook,et al.
System Models to Reduce Mission Design Time and Manage Risk: The Mars Microprobe Mission Case Study
,
1998
.
[12]
S. D. Wall,et al.
Implementation of System Requirements Models for Space Missions
,
1998
.