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<item>
  <id>05678210</id>
  <dt>j</dt>
  <an>05678210</an>
  <augroup>
    <au>Archibald, T.W.</au>
    <au>Black, D.P.</au>
    <au>Glazebrook, K.D.</au>
  </augroup>
  <ti>Indexability and index heuristics for a simple class of inventory routing problems.</ti>
  <so>Oper. Res. 57, No. 2, 314-326 (2009).</so>
  <py>2009</py>
  <pu>INFORMS, Hanover, MD</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1287/opre.1070.0505</li>
  </ligroup>
  <abgroup>
    <ab>Summary: We utilise and develop Whittle's restless bandit formulation to analyse a simple class of inventory routing problems with direct deliveries. These routing problems arise from the practice of vendor-managed inventory replenishment and concern the optimal replenishment of a collection of inventory holding locations controlled centrally by a decision maker who is able to monitor inventory levels throughout the network. We develop a notion of location indexability from a Lagrangian relaxation of the problem and show that (subject to mild conditions) the locations are indeed indexable. We thus have a collection of location indices in closed form, namely, real-valued functions of the inventory level (one for each location), which measure in a natural way (namely, as a fair charge for replenishment) each location's priority for inclusion in each day's deliveries. We discuss how to use such location indices to construct heuristics for replenishment and assess a greedy index heuristic in a numerical study where it performs strongly. A simpler approximate index analysis is available for the case in which the demand at each location is Poisson. This analysis permits a more explicit characterisation of the range of holding cost rates for which (approximate) location indexability is guaranteed.</ab>
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