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Goals-History

The education at the School of Production Engineering and Management (PEM) provides students with knowledge and skills necessary to design, manage and operate production systems of goods and services. PEM is the first school established in Greece in this area and admitted the first students in September 1984.

A number of societal and economic developments favored the establishment of PEM:

  • The need to maintain competitiveness at a national and international level by implementing cost-effective methodologies that enhance productivity and improve the production of goods and services.
  • The inherent complexity of new technologies and innovations, their high acquisition costs and the impact they can have on humans and the environment, which create the need to adopt a holistic approach that ensures a technologically, economically, socially and environmentally acceptable way for their implementation.
  • The requirement of Greek organizations (companies, industry, public services) for highly educated and skilled engineers who can successfully and efficiently handle not only technological/engineering problems, but also administrative and management issues.

The undergraduate curriculum of PEM comprises courses in mathematics, physics, humanities, production systems, operational research, information systems, applied economics, finance and management sciences. Students have also the opportunity to attend courses in universities across Europe via student exchange programs.

Today, production and management engineers are employed in construction, consulting companies, industry, public services, education, private businesses and as freelance engineers. Indicative fields of employment are:

  • Production systems design and management;
  • Information systems design, development and management;
  • Electrical and mechanical systems consulting;
  • Ε-business, e-marketing and applications development;
  • Computer-aided product design and rapid product design;
  • Health and safety;
  • Logistics and dynamic resource allocation;
  • Robotics;
  • Industrial operation and control of production plants;
  • Project management;
  • Supply chain and time planning;
  • Enterprise resource and material requirements planning;
  • Transportation systems;
  • Quality management;
  • Financial decision and investment planning;
  • Financial engineering and financial risk management;
  • Artificial intelligence;
  • Machine learning and data mining;
  • Decision support systems and intelligent systems;
  • Environmental studies;
  • Marketing;
  • Consumer behavior analysis;
  • Operational research and multi-criteria decision making;
  • Business intelligence and business analytics;

Next section:
Administration of the School

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