Course catalogue | University of Parma

Professor
Academic discipline: Impianti industriali meccanici (ING-IND/17)
Field: Ambito aggregato per crediti di sede
Type of training activity: Hub-specific activity

45 hours
of face-to-face activities

4 credits

hub:

course unit
in - - -

lectures timetable unavailable

exam calls

Learning objectives

The aim of this class is to give a treatment of the main aspect of simulation study in logistics contexts, including modeling, simulation languages, validation and output data analysis

Prerequisites

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Course unit content

Basic Simulation Modeling (the nature of simulation; system, modes and simulation; discrete event simulation, distributed simulation, steps in a simulation study, other types of simulation; advantages, disadvantages and pitfall of simulation). 
Review of basic probability and statistics. 
Building valid and credible simulation models. 
Selecting input probability distributions. 
Output data analysis for a single system. 
Comparing alternative system configuration. 
Experimental design and optimization.

Full programme

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Bibliography

A.M. Law and W.D. Kelton, Simulation modeling & analysis, McGraw-Hill, Inc.,

Teaching methods

Laboratory activities 
In order to prepare the students in making the necessary connection between conceptual principles and their actual application in logistics contexts, this part of the course avails itself of exercises and computer laboratory lectures. The programming environment used is the Excel and Simul8 software. 
Examination methods 
A test and an oral examination (if required). The active participation to lectures and other activities are evaluated. 
 
Prerequisites 
None.

Assessment methods and criteria

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Other information

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LOGISTIC SYSTEM SIMULATION cod. 18287

Learning objectives

Prerequisites

Course unit content

Full programme

Bibliography

Teaching methods

Assessment methods and criteria

Other information

LOGISTIC SYSTEM SIMULATION
cod. 18287