Identifying the Best Design for Uncertain MarketsCitation formats

Standard

Identifying the Best Design for Uncertain Markets. / Desai, Abdullah; Hollingsworth, Peter; Chinchapatnam, Phani.

30th Congress of the International Council of the Aeronautical Sciences. 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Desai, A, Hollingsworth, P & Chinchapatnam, P 2016, Identifying the Best Design for Uncertain Markets. in 30th Congress of the International Council of the Aeronautical Sciences.

APA

Desai, A., Hollingsworth, P., & Chinchapatnam, P. (2016). Identifying the Best Design for Uncertain Markets. In 30th Congress of the International Council of the Aeronautical Sciences

Vancouver

Desai A, Hollingsworth P, Chinchapatnam P. Identifying the Best Design for Uncertain Markets. In 30th Congress of the International Council of the Aeronautical Sciences. 2016

Author

Desai, Abdullah ; Hollingsworth, Peter ; Chinchapatnam, Phani. / Identifying the Best Design for Uncertain Markets. 30th Congress of the International Council of the Aeronautical Sciences. 2016.

Bibtex

@inproceedings{308c94dd548c4dbab93803725e59d684,
title = "Identifying the Best Design for Uncertain Markets",
abstract = "This paper demonstrates the development and operation of a basic value-driven design framework to help identify the best airframe and engine options for non-traditional niche markets. Using data collected by The Bureau of Transportation Statistics, the size and scope of unfulfilled markets can be determined. Using the methodology, the user can evaluate airline, airframe and engine combinations for the best value solution. Value model optimisation can take place within each system, subcomponent and component model and keeping all things equal how one (or a set of) variable(s) would affect the overall design solution. Using themodels, a number of Middle of the Market example cases were investigated, demonstrating the principle of the approach. While the modeling is incomplete the initial results highlight the challenges of selecting the proper configuration for uncertain, non-traditional markets.",
author = "Abdullah Desai and Peter Hollingsworth and Phani Chinchapatnam",
year = "2016",
language = "English",
booktitle = "30th Congress of the International Council of the Aeronautical Sciences",

}

RIS

TY - GEN

T1 - Identifying the Best Design for Uncertain Markets

AU - Desai, Abdullah

AU - Hollingsworth, Peter

AU - Chinchapatnam, Phani

PY - 2016

Y1 - 2016

N2 - This paper demonstrates the development and operation of a basic value-driven design framework to help identify the best airframe and engine options for non-traditional niche markets. Using data collected by The Bureau of Transportation Statistics, the size and scope of unfulfilled markets can be determined. Using the methodology, the user can evaluate airline, airframe and engine combinations for the best value solution. Value model optimisation can take place within each system, subcomponent and component model and keeping all things equal how one (or a set of) variable(s) would affect the overall design solution. Using themodels, a number of Middle of the Market example cases were investigated, demonstrating the principle of the approach. While the modeling is incomplete the initial results highlight the challenges of selecting the proper configuration for uncertain, non-traditional markets.

AB - This paper demonstrates the development and operation of a basic value-driven design framework to help identify the best airframe and engine options for non-traditional niche markets. Using data collected by The Bureau of Transportation Statistics, the size and scope of unfulfilled markets can be determined. Using the methodology, the user can evaluate airline, airframe and engine combinations for the best value solution. Value model optimisation can take place within each system, subcomponent and component model and keeping all things equal how one (or a set of) variable(s) would affect the overall design solution. Using themodels, a number of Middle of the Market example cases were investigated, demonstrating the principle of the approach. While the modeling is incomplete the initial results highlight the challenges of selecting the proper configuration for uncertain, non-traditional markets.

M3 - Conference contribution

BT - 30th Congress of the International Council of the Aeronautical Sciences

ER -