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Partitioning and balancing for the assembly of nozzle guide vanes in gas turbine engines

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  • Robert D. Plante
  • Timothy J. Lowe
  • Richard T. Wong

Abstract

The gas turbine engine is used to power many different types of commercial and military aircraft. During the scheduled maintenance of these engines, many of the turbine components are replaced. Of particular importance to us is the replacement of nozzle guide vanes in the nozzle assembly section of the engine. Individual vanes are selected from inventory to make up sets, and each set must meet certain characteristics in order to be feasible. The vanes in each set must then be sequenced in order to meet additional criteria. In this article, we give heuristics for the above partitioning and sequencing problems. Empirical analyses, using actual data from a branch of the armed services and a major engine manufacturer, are used to evaluate the proposed heuristics. The results of these analyses indicate that the heuristics are effective.

Suggested Citation

  • Robert D. Plante & Timothy J. Lowe & Richard T. Wong, 1988. "Partitioning and balancing for the assembly of nozzle guide vanes in gas turbine engines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(4), pages 585-603, August.
    • Handle: RePEc:wly:navres:v:35:y:1988:i:4:p:585-603
    DOI: 10.1002/1520-6750(198808)35:43.0.CO;2-B
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    References listed on IDEAS

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    1. Robert D. Plante & Timothy J. Lowe & R. Chandrasekaran, 1987. "The Product Matrix Traveling Salesman Problem: An Application and Solution Heuristic," Operations Research, INFORMS, vol. 35(5), pages 772-783, October.
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    Cited by:

    1. Johanns, Patrick & Lowe, Tim & Plante, Robert, 2001. "Selection and sequencing heuristics to reduce variance in gas turbine engine nozzle assemblies," European Journal of Operational Research, Elsevier, vol. 132(3), pages 490-504, August.

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    2. Johanns, Patrick & Lowe, Tim & Plante, Robert, 2001. "Selection and sequencing heuristics to reduce variance in gas turbine engine nozzle assemblies," European Journal of Operational Research, Elsevier, vol. 132(3), pages 490-504, August.

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