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  <subfield code="a">Ricard23_INFORMS</subfield> 
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<datafield tag="909" ind1="C" ind2="0">
<subfield code="p">TRANSP-OR</subfield>
</datafield>
<datafield tag="980" ind1="" ind2="">
<subfield code="a">TALK</subfield>
</datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Ricard, Léa</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Desaulniers, Guy</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Lodi, Andrea</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Rousseau, Louis-Martin</subfield> 
  </datafield>
<datafield tag="245" ind1="" ind2="">
<subfield code="a">
Strategies for the electric bus scheduling problem with battery degradation: A stochastic perspective</subfield>
</datafield>
<datafield tag="260" ind1="" ind2="">
<subfield code="c">2023</subfield>
</datafield>
<datafield tag="711" ind1="2" ind2="">
<subfield code="a">
INFORMS 2023</subfield>
<subfield code="c">
Phoenix, Arizona, USA</subfield>
<subfield code="d">October 16, 2023</subfield>
</datafield>
<datafield tag="520" ind1="" ind2="">
<subfield code="a">
The battery of battery electric buses (BEBs) constitutes a significant portion of the acquisition cost for new BEBs. Over time, the capacity of lithium-ion batteries gradually diminishes. The aging mechanism of BEBs is notably influenced by the average state of charge (SoC) and the SoC deviation. This presentation introduces a chance-constrained model for addressing the Electric Vehicle Scheduling Problem, which incorporates battery degradation and stochastic energy consumption. The model accounts for the aging mechanisms of the battery by imposing a constraint that ensures the SoC remains above a given threshold with a certain probability. Additionally, we propose a tailored branch-and-price algorithm and provide a numerical case analysis. This analysis yields several valuable managerial insights into effective battery management practices.</subfield>
</datafield>
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