Online Short Course: Supply Chain in Manufacturing
| Type | Short Programmes (for PhD Students & Professionals), e-learning |
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| Nominal duration | 2 days |
| Study language | English |
| Awards | (EITM participation certificate) |
| Application fee | €100 one-time • Main fee: 100€ IMPORTANT: The APPLICATION FEE is not reimbursable |
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| Entry qualification | PhD Studies • You are either a PhD student, researcher, or professional in Manufacturing topics interested in deepening their knowledge of manufacturing • The program is in English and you must understand, read and write English at a proficient level |
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| Territory requirements | Applications are accepted from the following territories (based on citizenship): World. |
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| Language requirements | English |
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| More information |
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Overview
Online Short Course: Supply Chain in Manufacturing (21 & 22 June)
The short course will be organized by Grenoble INP, which is one of our partner universities.
The following topic will be delivered by an expert in the short course
• Discrete-event simulation for decision aiding in the manufacturing context
Please find more details in the Program Structure.
The short course will be delivered by Mr. Zakaria YAHOUNI
• Zakaria YAHOUNI: He is a researcher and lecturer of industrial engineering at Grenoble INP and G-SCOP Laboratory. He holds a PhD. in industrial engineering from the Ecole Centrale of Nantes. His research is focused on using machine learning and simulation for manufacturing and supply chain optimization.
Participation fees
• Main fee: 100€
• 50% discount for students from RIS* countries and women: 50€
• EITM Doctoral School (DS) Students: Free
For EITM DS students, this short course will be part of their I&E Program in year 2.
*Please find the list of Regional Innovation Scheme (RIS) countries here.
Programme structure
Description of the topic:
Discrete-event simulation for decision aiding in manufacturing context
What can will you learn from this short course?
Students will learn how to model a manufacturing system and assess its performance. Discrete Events Simulation (Arena software) will be used for this purpose. Once simulation models are created, students will create, evaluate and analyze Key Performance Indicators (KPIs). Such KPIs will help to make value judgments on the manufacturing system.
Students will learn how to transform physical entities into digital ones using discrete events simulation. A case study will help acquire competencies in digitizing a manufacturing line and collect information and KPIs from it
For more information, contact us at:
doctoralschool@eitmanufacturing.eu