Accession Number : ADA318907

Title :   An Open Queueing Network Representation of the Reparable Item Problem.

Descriptive Note : Doctoral thesis,

Corporate Author : HOUSTON UNIV TX

Personal Author(s) : Silver, Bradley D.

PDF Url : ADA318907

Report Date : AUG 1996

Pagination or Media Count : 157

Abstract : This research examined various approaches to the reparable item problem and demonstrated significant shortcomings in those approaches which hamper their effectiveness. The METRIC-based approaches had problems handling the variability of empirical data and state dependent behavior. Queueing approaches ran into significant state space problems when they attempted to solve realistically sized problems or address complex issues. We develop a new paradigm for the reparable item problem which abandons stock levels as decision variables in favor of depot allocations of repair funding. It also assumes that the depot repair process is not constrained by the availability of unserviceable assets or by workshop capacity. We use this new paradigm to propose an open queueing network representation of the repair process. This generates an item availability probability distribution function, thus opening up a broad range of different objective functions. We demonstrate a set of specific techniques for creating these representations from empirical data with a U. S. Air Force data set. In a comparison of the fitting and forecasting performance of our model out performed a METRIC based model 38 out of 40 comparisons. Based upon the queueing network representations generated in this demonstration, we developed a global marginal allocation model to determine the best allocation of the depot's repair funding between competing bases and competing items at each of the bases.

Descriptors :   *QUEUEING THEORY, *PROBLEM SOLVING, *REPAIR, *SYSTEMS APPROACH, *MAINTENANCE MANAGEMENT, DATA BASES, AIR FORCE, DECISION MAKING, NETWORKS, CAPACITY(QUANTITY), COMPARISON, FORECASTING, VARIABLES, AVAILABILITY, SUPPLY DEPOTS, ALLOCATIONS, BEHAVIOR, INVENTORY CONTROL, HANDLING, WORKSHOPS, FITTINGS.

Subject Categories : Operations Research
      Logistics, Military Facilities and Supplies

Distribution Statement : APPROVED FOR PUBLIC RELEASE