An Integrated Level of Repair Analysis and Spare Parts Stocking Model

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Authors
  1. Ghaddar, B.
  2. Asiedu, Y.
Corporate Authors
Defence R&D Canada - Centre for Operational Research and Analysis, Ottawa ON (CAN)
Abstract
Although the level of repair analysis (LORA) and spare parts stocking (SPS) problems are interrelated, the two sets of problems are usually considered sequentially or even independently in practice. The joint problem is typically difficult to solve due to the non-linearity of the constraint associated with system availability. This report illustrates how the two problems can be solved simultaneously by formulating a single mixed integer non-linear optimization model that explicitly captures the interdependency between the repair network (location of resources and allocation of decisions) and sparing inventory decisions (stock levels at each location). The resulting integrated LORA-SPS optimization model is solved by utilizing a decomposition optimization approach, a simulation model, and a genetic programming-based symbolic regression methodology. Preliminary computational results show that the proposed methodology has the capacity to tackle the integrated problem.

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Report Number
DRDC-CORA-TM-2012-248 — Technical Memorandum
Date of publication
01 Oct 2012
Number of Pages
66
DSTKIM No
CA037330
CANDIS No
537132
Format(s):
Electronic Document(PDF)

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