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 <datafield tag="088" ind1="" ind2="">
  <subfield code="a">Gallay_OR_Days_2010</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>
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 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Gallay, Olivier</subfield> 
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<datafield tag="245" ind1="" ind2="">
<subfield code="a">
Centralized Versus Decentralized Control - A Solvable Stylized Model in Transportation</subfield>
</datafield>
<datafield tag="260" ind1="" ind2="">
<subfield code="c">2010</subfield>
</datafield>
<datafield tag="711" ind1="2" ind2="">
<subfield code="a">
Eighth Joint Operations Research Days</subfield>
<subfield code="c">
Fribourg</subfield>
<subfield code="d">September 09, 2010</subfield>
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<datafield tag="520" ind1="" ind2="">
<subfield code="a">
To analyze the potential outcomes resulting from interaction between autonomous decision-making "smart parts" in logistics networks, we propose here an exactly solvable stylized model that is able to quantify how much the dynamics can be enhanced by (fully decentralized) agent-based mechanisms. Cost functions are introduced in order to compare the performances of centralized versus decentralized organization and we are enable to conclude that for time horizons shorter than a critical value, multi-agent interactions generate smaller costs that an optimal effective central controller. </subfield>
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