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The course Modeling for Manufacturing Systems and Logistics is designed to provide the theoretical approach and application need the use of quantitative tools for modeling and technical and economic optimization of production and Logistics systems. The modeling will affect the logistics systems in general those productive and will consist, itself, in the preliminary phase of quantitative schematic of the same systems, on which will be dealt with the case of experiments relating to the possible operational decisions and evolutionary hypothesis. The scenario assessment will be done through the use of simulation performed through various approaches and utilization of sophisticated software, both discrete event (DES Logic) and by assuming that the system evolves between the possible states in a dynamic manner (System Dynamics). The approach to simulation and parallel use of optimization models, will discern on the assessment of the possible scenarios that the system can take. |
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The course is structured as follows:
- Introduction to modeling techniques of production and logistics systems;
- Definition of the modeling techniques; - The descriptive models;
- The use of graphic / analytical techniques for the determination of the logical steps of the systems and of the possible states;
- The assessment and collection of data for the definition of "basic" parameters on which to base the flowchart of the processes;
- From modeling to simulation; - The Discrete Event Simulation (DES);
- The System Dynamics;
- The theory of networks;
- Modeling Logistics Networks;
- Cost Analysis Logistics: Modeling of the activities of a logistics process and related costs according to the ABC approach (ActivtyBasedCosting) and applications;
- Modeling of productive systems and balancing of production and assembly lines;
- Modeling logistics networks: strategic models for supply network planning (inbound and outbound supply chain). Methods for localization of logistics / production nodes. Location / allocation problem with applications;
- Modelling of transport systems such as logistics hubs;
- Modeling of flows of material, financial and information within the supply chain: application of simulation models for the representation of logistics flows between the nodes of the same network or between different reality nodes (extended supply).
Each topic is tackled by examining the ideas that form the basis of the various problems faced by describing the main solving techniques accompanied with numerous examples and relevant application examples. |
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There are also educational materials related to the topics of video lessons, which are made up of theoretical study texts, datasheets and handouts; these learning materials make up the student's individual study of about 112 hours. In detail, the related teaching materials:
- Slide the course, the slides used by the teachers authors of the video lessons that students can download and print to create your own "book of the course."
- Books & Articles: texts, essays, descriptions, insights.
- Bibliography: annotated references to literature sources associated with the individual arguments of each video lesson.
- Sitography: reasoned selection of web sites related to topics of the video lesson.
To support learning both theoretical and application include the following exam papers:
- "System Dynamics modeling: TOOLS FOR LEARNING IN A WORLD COMPLEX" Sterman John's. McGraw Hill 2001. "Discrete-Event System Simulation" Jerry Banks, John S. Carson, Barry L. Nelson, 2005.
- "Discrete Event Systems", Angela Di Febbraro and Alessandro Giua, 2002. McGraw Hill. |
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Professor/Tutor responsible for teaching
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