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Naval Ship Production: A Claim Settled and a Framework Built

Author

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  • Kenneth G. Cooper

    (Pugh-Roberts Associates, 5 Lee Street, Cambridge, Massachusetts 02139)

Abstract

Program overruns, contract disputes, and legal confrontation between defense contractors and the government escalated seriously over the 1970's. The author led the development and application of a computer simulation model to resolve a $500 million shipbuilder claim against the US Navy. By using the model to diagnose the causes of cost and schedule overruns on two multibillion-dollar shipbuilding programs. Ingalls Shipbuilding quantified the costs of disruption stemming from Navy-responsible delays and design changes; in June 1978, the Navy agreed out of court to pay $447 million of the claim. Use of the model (which was the basis for at least $200--300 million of the settlement) broke new legal ground, providing the defense and legal communities with a means by which adversary relationships can be avoided and equitable settlements of contract cost disputes achieved.Ingalls Shipbuilding (a division of Litton Industries, Inc.) now has extended the model to aid strategic decision making in managing its shipyard operations. Each phase of several shipbuilding programs---acquisition and utilization of manpower, scheduling and performance of work, and managerial decisions throughout the program---can be accurately simulated. Executives find it valuable as a test bed for evaluating the consequences of alternative policies in bidding and marketing, contract management, program work scheduling, resource management, and cost forecasting. Also, it provides a needed technique in the avoidance of contractor claims.

Suggested Citation

  • Kenneth G. Cooper, 1980. "Naval Ship Production: A Claim Settled and a Framework Built," Interfaces, INFORMS, vol. 10(6), pages 20-36, December.
  • Handle: RePEc:inm:orinte:v:10:y:1980:i:6:p:20-36
    DOI: 10.1287/inte.10.6.20
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    Cited by:

    1. Lin, Jun & Chai, Kah Hin & Wong, Yoke San & Brombacher, Aarnout C., 2008. "A dynamic model for managing overlapped iterative product development," European Journal of Operational Research, Elsevier, vol. 185(1), pages 378-392, February.
    2. Joglekar, Nitin R. & Ford, David N., 2005. "Product development resource allocation with foresight," European Journal of Operational Research, Elsevier, vol. 160(1), pages 72-87, January.
    3. Williams, Terry, 1999. "Towards realism in network simulation," Omega, Elsevier, vol. 27(3), pages 305-314, June.
    4. George P. Richardson, 2014. ""Model" teaching III: Examples for the later stages," System Dynamics Review, System Dynamics Society, vol. 30(4), pages 291-299, October.
    5. Yasaman Jalili & David N. Ford, 2016. "Quantifying the impacts of rework, schedule pressure, and ripple effect loops on project schedule performance," System Dynamics Review, System Dynamics Society, vol. 32(1), pages 82-96, January.
    6. Williams, Terry & Ackermann, Fran & Eden, Colin, 2003. "Structuring a delay and disruption claim: An application of cause-mapping and system dynamics," European Journal of Operational Research, Elsevier, vol. 148(1), pages 192-204, July.
    7. Repenning, Nelson P. (Nelson Peter), 1998. "The transition problem in product development," Working papers WP 4036-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    8. Daniel Kasperek & Daniel Schenk & Matthias Kreimeyer & Maik Maurer & Udo Lindemann, 2016. "Structure‐Based System Dynamics Analysis of Engineering Design Processes," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 278-298, May.
    9. S Howick & C Eden, 2004. "On the nature of discontinuities in system dynamics modelling of disrupted projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(6), pages 598-605, June.
    10. Edward Godlewski & Gregory Lee & Kenneth Cooper, 2012. "System Dynamics Transforms Fluor Project and Change Management," Interfaces, INFORMS, vol. 42(1), pages 17-32, February.
    11. Howick, Susan, 2005. "Using system dynamics models with litigation audiences," European Journal of Operational Research, Elsevier, vol. 162(1), pages 239-250, April.
    12. Ford, David N. & Sterman, John., 1997. "Dynamic modeling of product development processes," Working papers WP 3943-97., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    13. T Williams, 2003. "Learning from projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 443-451, May.
    14. Liu, Shiyong & Triantis, Konstantinos P. & Sarangi, Sudipta, 2010. "A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 596-608, October.
    15. S Howick, 2003. "Using system dynamics to analyse disruption and delay in complex projects for litigation: can the modelling purposes be met?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 222-229, March.
    16. Thomas Walworth & Mike Yearworth & Laura Shrieves & Hillary Sillitto, 2016. "Estimating Project Performance through a System Dynamics Learning Model," Systems Engineering, John Wiley & Sons, vol. 19(4), pages 334-350, July.
    17. Qian, Yanjun & Xie, Min & Goh, Thong Ngee & Lin, Jun, 2010. "Optimal testing strategies in overlapped design process," European Journal of Operational Research, Elsevier, vol. 206(1), pages 131-143, October.

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    Keywords

    project management; simulation;

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