Isoperformance An Alternative Design Methodology for Engineering Systems
Tradeoffs between performance, cost and risk frequently arise during architecting and design of complex Engineering Systems such as aerospace vehicles. A paradigm shift is occurring from the pure performance optimization approach of the past towards satisfying of performance targets under concurrent...
| Main Author: | |
|---|---|
| Format: | Working Paper |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Engineering Systems Division
2016
|
| Online Access: | http://hdl.handle.net/1721.1/102750 |
| _version_ | 1826204810117906432 |
|---|---|
| author | de Weck, Olivier L. |
| author_facet | de Weck, Olivier L. |
| author_sort | de Weck, Olivier L. |
| collection | MIT |
| description | Tradeoffs between performance, cost and risk frequently arise during architecting and design of complex Engineering Systems such as aerospace vehicles. A paradigm shift is occurring from the pure performance optimization approach of the past towards satisfying of performance targets under concurrent risk and cost minimization. This paper proposes “isoperformance” as a set based approach to designing engineering systems by first identifying the acceptable performance invariant set of designs from which a final design is chosen. This is in contrast to a multiobjective cost-risk minimization under performance equality constraints. This paper identifies a number of issues associated with finding the desired performance invariant set, I, given a deterministic or empirical system model that maps design variables x to objective variables J. Isoperformance is presented as a methodology that can quantify and visualize the tradeoffs between determinants (independent design variables) of a known or desired outcome. For deterministic systems the multivariable performance invariant contours can be computed using sensitivity analysis and a contour following algorithm, provided that a mathematical system model of appropriate fidelity exists. In the case of stochastic systems the isoperformance curves can be obtained via a regression analysis, given a statistically representative data set. Once isoperformance curves have been obtained, they are useful in extracting a set of performance invariant solutions. Applying additional objectives, other than performance, can then lead to a set of pareto-optimal designs. Specific examples from opto-mechanical space systems design and human factors are presented. |
| first_indexed | 2024-09-23T13:01:45Z |
| format | Working Paper |
| id | mit-1721.1/102750 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:01:45Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology. Engineering Systems Division |
| record_format | dspace |
| spelling | mit-1721.1/1027502019-04-11T05:37:37Z Isoperformance An Alternative Design Methodology for Engineering Systems de Weck, Olivier L. Tradeoffs between performance, cost and risk frequently arise during architecting and design of complex Engineering Systems such as aerospace vehicles. A paradigm shift is occurring from the pure performance optimization approach of the past towards satisfying of performance targets under concurrent risk and cost minimization. This paper proposes “isoperformance” as a set based approach to designing engineering systems by first identifying the acceptable performance invariant set of designs from which a final design is chosen. This is in contrast to a multiobjective cost-risk minimization under performance equality constraints. This paper identifies a number of issues associated with finding the desired performance invariant set, I, given a deterministic or empirical system model that maps design variables x to objective variables J. Isoperformance is presented as a methodology that can quantify and visualize the tradeoffs between determinants (independent design variables) of a known or desired outcome. For deterministic systems the multivariable performance invariant contours can be computed using sensitivity analysis and a contour following algorithm, provided that a mathematical system model of appropriate fidelity exists. In the case of stochastic systems the isoperformance curves can be obtained via a regression analysis, given a statistically representative data set. Once isoperformance curves have been obtained, they are useful in extracting a set of performance invariant solutions. Applying additional objectives, other than performance, can then lead to a set of pareto-optimal designs. Specific examples from opto-mechanical space systems design and human factors are presented. 2016-06-01T14:16:40Z 2016-06-01T14:16:40Z 2002-05 Working Paper http://hdl.handle.net/1721.1/102750 en_US ESD Working Papers;ESD-WP-2003-01.22-ESD Internal Symposium application/pdf Massachusetts Institute of Technology. Engineering Systems Division |
| spellingShingle | de Weck, Olivier L. Isoperformance An Alternative Design Methodology for Engineering Systems |
| title | Isoperformance An Alternative Design Methodology for Engineering Systems |
| title_full | Isoperformance An Alternative Design Methodology for Engineering Systems |
| title_fullStr | Isoperformance An Alternative Design Methodology for Engineering Systems |
| title_full_unstemmed | Isoperformance An Alternative Design Methodology for Engineering Systems |
| title_short | Isoperformance An Alternative Design Methodology for Engineering Systems |
| title_sort | isoperformance an alternative design methodology for engineering systems |
| url | http://hdl.handle.net/1721.1/102750 |
| work_keys_str_mv | AT deweckolivierl isoperformanceanalternativedesignmethodologyforengineeringsystems |