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    <title>Ridder, A.A.N.</title>
    <link>http://repub.eur.nl/res/aut/7047/</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>An Analytic Model for Capacity Planning of Prisons in the Netherlands (Article)</title>
      <link>http://repub.eur.nl/res/pub/15420/</link>
      <pubDate>2000-11-01T00:00:00Z</pubDate>
      <description>In this paper we describe a decision support system developed to help in assessing the need for various types of prison cells. In particular we predict the probability that a criminal has to be sent home because of a shortage of cells. The problem is modelled through a queuing network with blocking after service. The main objective of our study is to describe our analytical method and an approximate algorithm to solve this network. Through simulation studies we evaluate our method. Both the analytic and the simulation tool are elements of the decision support system.</description>
    </item> <item>
      <title>Capacity planning of prisons in the Netherlands (Research Paper)</title>
      <link>http://repub.eur.nl/res/pub/1563/</link>
      <pubDate>1999-03-30T00:00:00Z</pubDate>
      <description>In this paper we describe a decision support system developed to help in assessing the need for various type of prison cells. In particular we predict the probability that a criminal has to be sent home because of a shortage of cells. The problem is modelled through a queueing network with blocking after service. We focus in  particular on the new analytical method to solve
this network.</description>
    </item> <item>
      <title>How Larger Demand Variability May Lead to Lower Costs in the Newsvendor Problem (Article)</title>
      <link>http://repub.eur.nl/res/pub/14825/</link>
      <pubDate>1998-12-01T00:00:00Z</pubDate>
      <description>In this paper we consider the Newsvendor Problem. Intuition may lead to the hypothesis that in this stochastic inventory problem a higher demand variability results in larger variances and in higher costs. In a recent paper, Song (1994a) has proved that the intuition is correct for many demand distributions that are commonly used in practice, such as for the normal distribution function. However, this paper shows that there exist demand distributions for which the intuition is misleading, i.e., for which larger variances occur in combination with lower costs. To characterize these demand distributions we use stochastic dominance relations.</description>
    </item> <item>
      <title>An (s,Q) inventory model with remanufacturing and disposal (Article)</title>
      <link>http://repub.eur.nl/res/pub/2237/</link>
      <pubDate>1996-12-01T00:00:00Z</pubDate>
      <description>In this paper we analyse an (s, Q) inventory model in which used products can be remanufactured to new ones. We develop two approximations for the average costs and compare their performance with that of an approximation suggested by Muckstadt and Isaac. Next we extend the model with the option to dispose returned products and present a heuristic optimisation procedure which is checked with full enumeration.</description>
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