http://popups.lib.uliege.be/1373-5411/index.php?id=2759 Index terms fr 0 http://popups.lib.uliege.be/1373-5411/index.php?id=2758 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. Fri, 30 Aug 2024 15:48:35 +0200 Tue, 08 Oct 2024 13:22:38 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2758 http://popups.lib.uliege.be/1373-5411/index.php?id=2907 We will talk about models with an intelligent element inside. The intelligent element makes some predictions using the future stage of model which it is a part. The first model contains a process of driver or passenger decision making. Such process is not anticipatory necessarily but it is possible to presume that the driver or passenger tries to simulate his route. The second example refers demography. There is a complex model describing demographic processes using discrete simulation. We created an authority simulating the progress in this area and advising the citizens. Citizens may be convinced to leave the city. The nested model is much more alike to the main one in this case; this system can be called anticipatory with no doubt. Tue, 03 Sep 2024 15:46:42 +0200 Tue, 03 Sep 2024 15:46:54 +0200 http://popups.lib.uliege.be/1373-5411/index.php?id=2907