Innovative Business Models for the Automotive Industry Course Description

Innovative Business Models for the Automotive Industry
Course Description
The aim of this course is to familiarize the student with the problems connected to the operational management of automotive industry, with particular reference to business models, and to the main operational methods used in this context. An introduction to the management problems is the understanding of the functioning of the production system with particular attention to the definition of KPIs and to the evaluation of performance. Having described the system from the point of view of performance measures and their main drivers, the production management problems, supply chain management are addressed with specific reference to the most common logics in the business environment at the medium and short-term planning level.
Prerequisite
Elements of statistics (concept of probability distribution, concepts of mean and variance, and distribution of fundamental probabilities such as Normal, Uniform, Exponential). Elements of mathematical analysis (solution of systems of equations, computation of derivatives and integrals, analysis of functions).
Course Structure
The course includes lectures and classroom exercises. During the lessons, all the topics of the course will be presented both from a theoretical point of view, illustrating the techniques and management tools, and from a practical point of view, applying the tools to examples of business problems and case studies. The exercises, on the other hand, will consist in the performance of numerical exercises and the discussion of business cases. There are also workshops dedicated to particular aspects of production management, applied in realistic contexts of a typical manufacturing company.
Student Learning Outcomes

• 
  Students must have understood the business model tools covered by the course and be able to instantiate and use the formulas and any software in the correct way.
  
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  student will have to demonstrate that knows how to apply the theory and methods learned in the most appropriate way in reference to the specific field.
  
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  given a system of real complexity, described in a contingent operating condition, the student must be able to recognize which problem is affecting the system and identify possible operational solutions, that is, select the most appropriate approach and / or method. adequate for the solution of the identified problem, also identifying the necessary data / parameters and their possible retrieval within the company.
  

Course Content
Business Model Strategies in Global Competition

1. 
   What is a business model and why should it be innovated?
   
2. 
   The age of business model innovation
   
3. 
   The elements of the business model
   
4. 
   The challenges of business model innovation
   
5. 
   The business model navigator
   
6. 
   Case studies winning business models and what they can do for you
   

Business Models and the Internet of Things

1. 
   IoT for business
   
2. 
   Generation IoT Drives Business Survival in the 21st Century
   
3. 
   IoT Today—Digitally Transforming the World
   
4. 
   IoT cases
   

• 
  BC Hydro, Canada
  
• 
  Anglo American Platinum, Ltd., South Africa
  
• 
  Benteler Automobiltechnik GmbH, Germany
  
• 
  FANUC, Japan
  

5. 
   IoT ecosystem for business model
   
6. 
   Understanding the IoT Business Value Proposition
   
7. 
   Steps in Starting an IoT Project with cases
   

Business Models and Big Data

1. 
   What is Big Data. Definition
   
2. 
   Data types. Structured and unstructured data
   
3. 
   Characteristics of Big Data
   
4. 
   Industrial Biga Data
   
5. 
   Data Acquisition system in industry
   

• 
  Data collection and transmission
  

6. 
   Data storage and analytics systems
   

The Automotive Industry

1. 
   Historical outline in Automotive industry
   
2. 
   Strategic planning of Production activities
   
3. 
   Manufacturing systems management and maintenance criteria
   
4. 
   Work analysis labor productivity evaluation criteria
   
5. 
   Manufacturing Engineering and Equipment evaluation criteria