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 <datafield tag="088" ind1="" ind2="">
  <subfield code="a">AtasoyB_ORDAYS2013</subfield> 
  </datafield>
<datafield tag="909" ind1="C" ind2="0">
<subfield code="p">TRANSP-OR</subfield>
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<datafield tag="980" ind1="" ind2="">
<subfield code="a">TALK</subfield>
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 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Atasoy, Bilge</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Salani, Matteo</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Bierlaire, Michel</subfield> 
  </datafield>
<datafield tag="245" ind1="" ind2="">
<subfield code="a">
Analysis of an itinerary-based airline  fleet assignment model with passenger-choice driven recapture and pricing</subfield>
</datafield>
<datafield tag="260" ind1="" ind2="">
<subfield code="c">2013</subfield>
</datafield>
<datafield tag="711" ind1="2" ind2="">
<subfield code="a">
11th Swiss OR Days</subfield>
<subfield code="c">
Geneva</subfield>
<subfield code="d">May 02, 2013</subfield>
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<datafield tag="520" ind1="" ind2="">
<subfield code="a">
There is an increasing interest for the integration of supply-demand interactions in airline schedule planning models. We work with an itinerary-based fleet assignment model where an itinerary choice model is explicitly integrated. The choice model represents the decision on pricing as well as the spill and recapture effects. We present a sensitivity analysis for the key assumptions of the demand model in order to quantify the added value of choice-based fleet assignment compared to leg-based fleet assignment. The model is solved with a local search heuristic which iterates over two sub-problems. We present a transformation of the problem which results with a convex formulation and is expected to increase the efficiency of the solution methodologies.</subfield>
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