Master's Degree in Advanced Production Engineering, Logistics and Supply Chain
Universitat Politècnica de València (UPV)
Key Information
Campus location
Valencia, Spain
Languages
Spanish
Study format
On-Campus
Duration
1 year
Pace
Full time
Tuition fees
EUR 35 / per credit
Application deadline
Request info
Earliest start date
Sep 2024
Introduction
The competitiveness of a company depends on the competitiveness of the supply chain in which it is integrated. Improving the efficiency of the supply chain in the areas of engineering, production and logistics is a requirement for companies that want to remain competitive. The Master's Degree in Advanced Production, Logistics and Supply Chain Engineering seeks to offer comprehensive specialist training, through the official postgraduate program in Engineering and Industrial Production, nationally and in the Valencian Community, with special attention to the traditional Valencian sectors, to high technology, transport and distribution companies, logistics operators, consultancies and services.
Ideal Students
Graduates in engineering, experimental sciences and Business Administration and Management, with an orientation towards industrial and service companies (logistics, distribution, logistics operators) and motivation for the relationships in the supply chain between suppliers, manufacturers, transporters, logistics operators and distributors .
Admissions
Program Outcome
The Master's purpose is to train professionals in advanced production, logistics and supply chain engineering, directing their training towards the needs of companies.
In addition, it provides the possibility of choosing a research itinerary for those participants who wish to complete their doctoral thesis.
During the development of the Master, advanced planning, programming and sequencing techniques will be applied, both in a context of industrial companies and supply chain companies. Supply and distribution logistics techniques, logistics and supply chain engineering, and their strategies will be presented, work will be done on the application of business process management, performance measurement systems, and modeling techniques. and simulation of production, logistics and supply chain systems.