On January, 7th 2019 started the Course for “Industry 4.0 Advanced Operator” at sedApta Academy in Sestri Levante (Genoa).
This course has been thought to give an answer to the skill mismatch phenomenon created by the digital transformation of the industrial processes as induced by Industry 4.0 revolution and intended to amplify in the next future within manufacturing.
The course will take place at sedApta Academy in co-operation with the Department of Economics and Business (DIEC) and the Polytechnic School of the University of Genoa and it is mainly aimed to graduates with scientific, technological knowledge and orientation.
The course aims at being a specific dedicated training opportunity with in-depth and efficient training for professionals. It will allow the participants, through a training agreement with the attendant employee(s), to obtain quick return in terms of productivity and strong involvement within the Company.
The modules of the course
1. Introduction to Industry 4.0 & smart supply chain
The main goal is to provide an overview of the impact of new
digital technologies on manufacturing from the operational,
managerial and economical point of view and introducing skill
upgrading and upskilling
Core digital technologies for
manufacturing and supply chain
Economic rationale and
impact of the digital transformation
Main trends in a smart supply chain & factory
The impact of 4.0 technologies on industrial competitiveness
Organizational and managerial change: skill challenges?
2. Information and communication technology for today & future manufacturing competitiveness
The main ICT enablers (current and future) are discussed and their
impact on business models and
profitability are assessed.
Discussion on maturity of
Understanding how technological
aspects can create value for the firm
Horizontal and vertical integration, Cloud Manufacturing, Work Flow Management
Business Intelligence and Data Analytics, Machine Learning and Artificial Intelligence
3. Managing demand, inventory and distribution in the real time
From time series analysis to collaborative forecasting towards cognitive
Demand for goods and inputs:
determinants, elasticity, substitutes, complements
Economic analysis of inventories
Demand sensing and forecasting
Inventory management and
Logistic flows in a manufacturing supply chain
4. Optimizing decisions for strategic and tactical planning
Integrated Business Planning for
Production and Investment
Integrated Business Management e Profit Velocity
Managerial accounting e monitoraggio dei costi per le scelte strategiche
Mathematical Production Planning Models
5. Advanced tools for
Innovation in smart
From traditional to next generation
tools and applications in blending
physical and virtual factory and supply chain
IOT and Cyber Physical
Production Systems (CPPS)
Industrial CPPS application mapping
Cyber physical production assessment and evaluation models
Cybersecurity and IT/OT
Discrete Simulation for
6. Planning & Controlling
detailed operation in the smart
How Advanced Planning and
Scheduling Systems transform in the 4.0 paradigm
PLM and Digital Factory to model and act the physical system
Discrete Simulation for Manufacturing
Quality 4.0: impact and strategy
Advanced Scheduling application and methods
Technology enablers and value chain
For a total of 200 hours of academic training, 100 hours of exercises and 160 hours of project work at the Company sponsoring the initiative.
The course will be in English.
To submit your application please send your CV to: firstname.lastname@example.org!