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    <title>SIMULA</title>
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      <title>Using Nested Simulation for Evaluating Next Period. Workload Anticipation Capability of a Control System</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2758</link>
      <description>Simulation is a powerful tool able to anticipate the behavior of complex systems ; often this ability is used for on-line control strategy in several industrial and civil applications. Models are currently used for supporting next period workload in gas dispatching networks as well as in electrical power generation management. In the process industry (i.e. steel making plants) simulation is the base technique for ensuring proper appointment among different processes (i.e. Ladle Furnaces and Continuous Casting) ; in maritime logistics several applications have been proposed for container yard planning and for mooring optimization. Moreover in the manufacturing sector several applications of Scheduling and Simulating systems are well known. In all such applications on-line simulation has been extensively used for supporting operative decision making. In the proposed application a department store is here controlled by an online simulator devoted to investigate the impact of counter's management policy. In the common practice, in fact, a fixed number of people is used both for counter's staffing and for shelves replenishment. Opening a counter, generally speaking, will divert a worker from shelf replenishment in favor of a reduction in the customer's average time spent in queue, resulting a temporary increase in the stock out risk. The effect of such behavior is delayed and a consequent oscillating path will emerge affecting seriously the performances of a real life department store. The paper presents a reflective simulation model able to simulate such system with an embedded simulator in order to investigate the expected performances of such simulation-in-the-loop control model. Methodology and case study are presented and discussed. </description>
      <pubDate>Fri, 30 Aug 2024 15:48:35 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 13:22:38 +0200</lastBuildDate>
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      <title>Application of Computer Simulation in Service Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2935</link>
      <description>There is a problem to anticipate organization of services performed by an enterprise to its customer distributed in an array. At one part, the enterprise is interested to employ the minimum workers for that task, while at the other part the customers should be served as soon as possible after they send a message to the enterprise. Simulation of the variants viewed as materially possible, and then choosing the optimal one of them, is a good technique. A system that uses simulation is an anticipatory one and that anticipating the possible variants is also an anticipatory one, thus we meet nesting anticipatory systems. The anticipation of possible variants can be efficiently supported by applying object-oriented programming. That anticipation may pass over the design of one enterprise. The paper describes this technique and some illustrative examples. </description>
      <pubDate>Tue, 03 Sep 2024 15:52:13 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 13:13:20 +0200</lastBuildDate>
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      <title>Application of Computer Simulation in Information Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2921</link>
      <description>The paper concerns a project of implementing an intelligent information system. The intelligence should cover different aspects, namely reactions to some natural language directives and anticipatory self-organizing. At the start phase, programming tools that will be able to cover the simulation models of the design variants are made and tested. They are structured into four main levels, namely (1) that of the world with communication in fuzzy terms, (2) that concerning the world of repeated existence of systems (used for managing a simulation study), (3) that oriented to simulation of information systems ( used for managing individual simulation experiments), and (4) that directed to the anticipatory abilities of the simulated systems. The programming tools are implemented in SIMULA. </description>
      <pubDate>Tue, 03 Sep 2024 15:51:17 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 13:12:34 +0200</lastBuildDate>
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      <title>40 Years of Super-Object-Oriented Programming</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2918</link>
      <description>The year of 2007 was a jubilee year, namely the anniversary of 40 years of the object-oriented programming (OOP). Nevertheless, when the first tool allowing application of the OOP paradigm was presented to the world professional community in 1967, it offered much more than the mentioned paradigm. The whole system of the offered tools was later called Super-Object-Oriented programming tools (SOOP). Its origin and its abilities have several intimate relations to computer simulation and to computing anticipatory systems. The properties of the OOP and of SOOP and their differing are presented in the paper and the relation to the computing anticipatory systems as well. </description>
      <pubDate>Tue, 03 Sep 2024 15:50:46 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 13:11:53 +0200</lastBuildDate>
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