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    <title>Labbé, M.</title>
    <link>http://repub.eur.nl/res/aut/14426/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Improved algorithms for machine allocation in manufacturing systems (Article)</title>
      <link>http://repub.eur.nl/res/pub/11742/</link>
      <pubDate>1994-05-01T00:00:00Z</pubDate>
      <description>In this paper we present two algorithms for a machine allocation problem occurring in manufacturing systems. For the
two algorithms presented we prove worst-case performance ratios of 2 and 312, respectively. The machlne allocat~on
problem we consider is a general convex resource allocation problem, which makes the algorithms applicable to a varlety
of resource allocation problems. Numerical results are presented for two real-life manufacturing systems.</description>
    </item> <item>
      <title>Two-dimensional rectangle packing: on-line methods and results (Article)</title>
      <link>http://repub.eur.nl/res/pub/11700/</link>
      <pubDate>1993-09-03T00:00:00Z</pubDate>
      <description>The first algorithms for the on-line two-dimensional rectangle packing problem were introduced by Coppersmith and Raghavan. They showed that for a family of heuristics 13/4 is an upper bound for the asymptotic worst-case ratios. We have investigated the Next Fit and the First Fit variants of their method. We proved that the asymptotic worst-case ratio equals 13/4 for the Next Fit variant and that 49/16 is an upper bound of the asymptotic worst-case ratio for the First Fit variant.</description>
    </item> <item>
      <title>A note on a stochastic location problem (Article)</title>
      <link>http://repub.eur.nl/res/pub/11643/</link>
      <pubDate>1993-05-01T00:00:00Z</pubDate>
      <description>In this note we give a short and easy proof of the equivalence of Hakimi's one-median problem and the k-server-facility-loss median problem as discussed by Chiu and Larson in Computer and Operation Research. The proof makes only use of a stochastic monotonicity result for birth and death processes and the insensitivity of the M/G/k/k loss model.</description>
    </item> <item>
      <title>On the multidimensional vector bin packing (Article)</title>
      <link>http://repub.eur.nl/res/pub/11738/</link>
      <pubDate>1990-01-01T00:00:00Z</pubDate>
      <description></description>
    </item>
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