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Kaizen and Stochastic Networks Support the Investigation of Aircraft Failures

Author

Listed:
  • Izack Cohen

    (Faculty of Industrial Engineering and Management, Technion, Technion City, Haifa 32000, Israel)

Abstract

Investigating the causes of aircraft failures and preventing their reoccurrence are crucial to achieving and maintaining a high flight safety level; technical failure-analysis teams usually perform these functions. We developed and applied a dual-phased process to improve the investigative procedures that these teams use. In the first phase we used a Kaizen method to reconstruct the investigation process. In the second phase we created a simulation model of the resulting stochastic processing network to evaluate alternative configurations. The results indicated a significant improvement in throughput time and investigation quality. In addition, this unique improvement process could be adapted for use by the many organizations that concurrently run several types of jobs (or projects) in a stochastic and dynamic environment.

Suggested Citation

  • Izack Cohen, 2010. "Kaizen and Stochastic Networks Support the Investigation of Aircraft Failures," Interfaces, INFORMS, vol. 40(3), pages 208-221, June.
    • Handle: RePEc:inm:orinte:v:40:y:2010:i:3:p:208-221
    DOI: 10.1287/inte.1090.0488
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    References listed on IDEAS

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    1. James R. Bradley & Jim Willett, 2004. "Cornell Students Participate in Lord Corporation's Kaizen Projects," Interfaces, INFORMS, vol. 34(6), pages 451-459, December.
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