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Aircraft Cost Modelling, Integrated in a Multidisciplinary Design Context

Received: 18 September 2019     Accepted: 26 September 2019     Published: 17 December 2019
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Abstract

Most of the current cost models focus on a particular manufacturing process or a specific maintenance aspect, therefore not providing the whole picture. The main challenge in modelling the manufacturing cost, associated to a new aircraft at the initial design stage, is to examine all the cost features and the way to link them into the decision making process. It is important to understand the cost related to different competing designs, and this can be tackled by including cost estimation in the design process. Estimating the cost at the early design stage is paramount to reduce the life cycle cost of the aircraft. This paper presents the development of a new methodology for the generation of a cost estimation approach for preliminary aircraft design in a multidisciplinary environment. The framework is able to capture the design attributes that drive the cost allowing a designer to assess cost changes with respect to different design configurations. The cost model is built in Excel using a Visual Basic interface and it is integrated within Model Centre platform, where it can be treated as a component of a computational design process. The paper concludes by presenting the results from a real wing trade-off study that includes all the components of a complete design system.

Published in Engineering and Applied Sciences (Volume 4, Issue 6)
DOI 10.11648/j.eas.20190406.16
Page(s) 169-189
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Cost Engineering, Multidisciplinary Design, Design Integration

References
[1] Xu, Y. et Al., Cost Engineering for manufacturing: Current and future research, Int. J. of Computer Integrated Manufacturing, Issue 4-5: Special Issue: Through Life Cost Estimating, 2012, Volume 25.
[2] Humphreys, K. K., Project and Cost Engineer’s Handbook, 4th ed., Marcel Dekker, New York, 2005.
[3] The aerospace industry: statistics and policy, Report 2017, House of Common Library.
[4] Di Pasquale D., Gore D., Savill M., Kipouros T. & Holden C., Cost modelling for aircraft in a multi-disciplinary design context. In: Advances in Manufacturing Technology XXX: IOS Press, 2016, p. 471-476.
[5] Sirirojvisuth, A., Development of a Hybrid Lifecycle cost estimating tool (HLCET) for manufacturing influenced design trade off, PhD thesis, Georgia Institute of Technology, 2012.
[6] Gantois, K., and Morris A. J., Incorporation of manufacturing information into an MDO environment, The Aeronautical Journal, 1999, Volume 23, pp. 383-388.
[7] Bode, J., Decision support with neural networks in the management of research and development: concepts and application to cost estimation, J. Information & Management 34, pp. 33-40.
[8] Early J. M. and Price, M. A., Whole-Life Costing for Capability, J. of Aircraft, 2012, Vol. 49, No. 3.
[9] Narasimha, L. Development of appropriate solutions using current costing tools to support Multidisciplinary Design Optimisation (MDO), Master thesis, Cranfield University, Cranfield, UK, 2009.
[10] Peoples, R. and Willcox, K., Value-Based Multidisciplinary Optimization for Commercial Aircraft Design and Business Risk Assessment, J. of Aircraft 2006 Vol. 43, No. 4, pp. 913-921.
[11] Roskam, J., Airplane Design: Part VIII, Airplane Cost Estimation: Design, Development, Manufacturing and Operating, Roskam Aviation and Engineering Corporation, 1990.
[12] Btissame, Towards a whole Life Cycle Cost Model for ERP projects, Master thesis Cranfield University, 2006 pp. 9-11.
[13] Ostwald, P., Engineering cost estimating, Englewood Cliffs, NJ: Prentice -Hall; 576pp, ISBN 0-13-276627-2. 1992.
[14] Stewart, R. Wyskidsa, R., Johannes, J, Cost estimator’s reference manual, 2nd ed. New York: Wiley Interscience,1995.
[15] Shuford, R. H., Activity-based costing and traditional cost allocation structures. In: Stewart RD, Wyskida RM, Johannes JD, editors. Cost estimator’s reference manual, 2nd ed. New York: Wiley, 1995, p. 41–94.
[16] Curran, R., Raghunathan, S. and Price, M., “Review of Aerospace Engineering Cost Modelling: The Genetic Causal Approach, Progress in Aerospace Sciences 2004, Vol. 40, pp. 487-534.
[17] Torenbeek E., Synthesis of Subsonic Airplane Design, Delft University Press, Martinus Nijhoff Publishers, 1982.
[18] Niazi, A., Dai J. S., Balabani S., and Seneviratne L. Product cost estimation: Technique classification and methodology review. J. of Manuf Science and Eng, Transactions of the ASME, 128 (2): 563-575, 2006.
[19] Roy, R., 2003. Cost Engineering: Why, What and How? Decision Engineering Report Series, Cranfield University, ISBN 1-861940-96-3.
[20] Roy, R. and Cheruvu, K. S, A competitive framework for industrial product service systems, Int. J. Internet Manufacturing and Services, 2009, 2 (1), pp. 4–29.
[21] DoD, Parametric estimating handbook, Department of Defence, 1999.
[22] Weirda, L. S.,"Linking Design, Process Planning and Cost Information by Feature-based Modelling, J. of Engineering Design Vol. 2 No. 1, 1991.
[23] Agyapong-Kodua, K., Wahid B. M. and Weston R. H., Towards the derivation of an integrated process cost modelling technique for complex manufacturing systems, Int. J. of Production Research, 2012.
[24] Asiedu Y. and Gu P., Product life cycle cost analysis; state of the art review, Int. J. of Production Research, 1998, 36 (4), pp. 883-908.
[25] Harding A, Lowe D, Hickson A, Emsley M, Duff R. The cost of procurement: a neural network approach, International conference in construction information technology. Reykjavik, Iceland; 28–30 June 2000.
[26] Thokala P., Scanlan J. and Chipperfield A., Framework for Aircraft Cost Optimization Using Multidisciplinary Analysis, J. of Aircraft, 2012, Vol. 49, No. 2.
[27] Curran, R., Price, M., Raghunathan, S., Benard, E., Crosby, S., Castagne, S., Mawhinney, P., Integrating Aircraft Cost Modeling into Conceptual Design, Concurrent Engineering: Research and Applications, Vol. 13, No. 4, Dec. 2005, pp. 321–330.
[28] Di Pasquale D., Gore D., Savill M. & Kipouros T., Multi-disciplinary integrated aircraft cost suite for optimisation study. In: Advances in manufacturing technology XXXI, Amsterdam: IOS Press, 2017, pp. 579-584.
Cite This Article
  • APA Style

    Davide Di Pasquale, David Gore, Mark Savill, Timoleon Kipouros, Carren Holden. (2019). Aircraft Cost Modelling, Integrated in a Multidisciplinary Design Context. Engineering and Applied Sciences, 4(6), 169-189. https://doi.org/10.11648/j.eas.20190406.16

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    ACS Style

    Davide Di Pasquale; David Gore; Mark Savill; Timoleon Kipouros; Carren Holden. Aircraft Cost Modelling, Integrated in a Multidisciplinary Design Context. Eng. Appl. Sci. 2019, 4(6), 169-189. doi: 10.11648/j.eas.20190406.16

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    AMA Style

    Davide Di Pasquale, David Gore, Mark Savill, Timoleon Kipouros, Carren Holden. Aircraft Cost Modelling, Integrated in a Multidisciplinary Design Context. Eng Appl Sci. 2019;4(6):169-189. doi: 10.11648/j.eas.20190406.16

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  • @article{10.11648/j.eas.20190406.16,
      author = {Davide Di Pasquale and David Gore and Mark Savill and Timoleon Kipouros and Carren Holden},
      title = {Aircraft Cost Modelling, Integrated in a Multidisciplinary Design Context},
      journal = {Engineering and Applied Sciences},
      volume = {4},
      number = {6},
      pages = {169-189},
      doi = {10.11648/j.eas.20190406.16},
      url = {https://doi.org/10.11648/j.eas.20190406.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20190406.16},
      abstract = {Most of the current cost models focus on a particular manufacturing process or a specific maintenance aspect, therefore not providing the whole picture. The main challenge in modelling the manufacturing cost, associated to a new aircraft at the initial design stage, is to examine all the cost features and the way to link them into the decision making process. It is important to understand the cost related to different competing designs, and this can be tackled by including cost estimation in the design process. Estimating the cost at the early design stage is paramount to reduce the life cycle cost of the aircraft. This paper presents the development of a new methodology for the generation of a cost estimation approach for preliminary aircraft design in a multidisciplinary environment. The framework is able to capture the design attributes that drive the cost allowing a designer to assess cost changes with respect to different design configurations. The cost model is built in Excel using a Visual Basic interface and it is integrated within Model Centre platform, where it can be treated as a component of a computational design process. The paper concludes by presenting the results from a real wing trade-off study that includes all the components of a complete design system.},
     year = {2019}
    }
    

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    AU  - Mark Savill
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    AB  - Most of the current cost models focus on a particular manufacturing process or a specific maintenance aspect, therefore not providing the whole picture. The main challenge in modelling the manufacturing cost, associated to a new aircraft at the initial design stage, is to examine all the cost features and the way to link them into the decision making process. It is important to understand the cost related to different competing designs, and this can be tackled by including cost estimation in the design process. Estimating the cost at the early design stage is paramount to reduce the life cycle cost of the aircraft. This paper presents the development of a new methodology for the generation of a cost estimation approach for preliminary aircraft design in a multidisciplinary environment. The framework is able to capture the design attributes that drive the cost allowing a designer to assess cost changes with respect to different design configurations. The cost model is built in Excel using a Visual Basic interface and it is integrated within Model Centre platform, where it can be treated as a component of a computational design process. The paper concludes by presenting the results from a real wing trade-off study that includes all the components of a complete design system.
    VL  - 4
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Author Information
  • Centre for Aeronautics, School of Aerospace Transport and Manufacturing, Cranfield University, Cranfield, United Kingdom

  • Airbus Operation Ltd., Bristol, United Kingdom

  • Centre for Aeronautics, School of Aerospace Transport and Manufacturing, Cranfield University, Cranfield, United Kingdom

  • Centre for Aeronautics, School of Aerospace Transport and Manufacturing, Cranfield University, Cranfield, United Kingdom

  • Airbus Operation Ltd., Bristol, United Kingdom

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