University of Maribor version 01 22.4.2009 - Fakulteta za strojništvo ...
University of Maribor version 01 22.4.2009 - Fakulteta za strojništvo ...
University of Maribor version 01 22.4.2009 - Fakulteta za strojništvo ...
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Information Package on the degree programmes <strong>of</strong> the Faculty <strong>of</strong> Mechanical Engineering <strong>Maribor</strong> Part TWO Page 40<br />
ADVANCED CONCEPTS IN PRODUCTION MANAGEMENT<br />
The module <strong>of</strong> Advanced concepts in production management has its scientific roots in industrial engineering and engineering<br />
management. Both research areas provide knowledge necessary for holistic understanding <strong>of</strong> contemporary manufacturing<br />
challenges and the strategic role <strong>of</strong> manufacturing in creating competitive advantage in industrial enterprises. The module’s<br />
mission is to provide the graduate student with knowledge, tools and methods required to design manufacturing systems, solve<br />
operational problems, control material and information flow, manage core business processes in technology-driven enterprises<br />
and make strategic decisions. This module helps students prepare for a variety <strong>of</strong> pr<strong>of</strong>essional careers in university teaching and<br />
research, industrial research, consulting and industrial enterprises in which engineering knowledge is the core knowledge and<br />
technology is the core resource.<br />
The three compulsory courses in the first year provide students training in the fundamental knowledge. First year training is also<br />
used for getting familiar with the adopted research methodology. In the second year students choose three courses together with<br />
the supervisor. The decision to focus on industrial engineering or engineering management determines the choice <strong>of</strong> these three<br />
subjects.<br />
Industrial engineering encompasses knowledge required for designing complex manufacturing systems and material and<br />
information flows. Knowledge from the field <strong>of</strong> industrial ergonomic and work study enables the design <strong>of</strong> work places and their<br />
integration into a production system. Numerical techniques are used to design manufacturing systems and support decisionmaking<br />
in manufacturing operations. For industrial engineering courses the extensive use <strong>of</strong> engineering and optimi<strong>za</strong>tion<br />
s<strong>of</strong>tware is characteristic. The students that opt for industrial engineering are advised to choose one course from another module<br />
at the Faculty <strong>of</strong> mechanical engineering.<br />
Engineering management is a research field which studies the role <strong>of</strong> R&D, technology and manufacturing in creating competitive<br />
advantage in the knowledge-driven economy. In the courses case studies are extensively used in order to help students<br />
understand the complex business reality in manufacturing organi<strong>za</strong>tions. The emphasis is on studying lean manufacturing<br />
capability, supply chain management, strategic alliances, management <strong>of</strong> uncertainty in new product development and<br />
manufacturing innovation. In engineering management manufacturing is analyzed through the strategic perspective. The students<br />
that opt for engineering management are advised to choose one course from the Faculty for business and economics.<br />
Module courses<br />
FIRST YEAR<br />
A. The 3 compulsory courses <strong>of</strong> the module:<br />
� Statistical methods (Selected Topics)<br />
� Production systems<br />
� Quality management<br />
SECOND YEAR<br />
B. Optional courses <strong>of</strong> the module:<br />
The student selects 3 subjects from the set <strong>of</strong> optional courses, at least two <strong>of</strong> them from group B1:<br />
B1. Optional courses <strong>of</strong> this module<br />
� Production management<br />
� Job sequencing<br />
� Discrete production - processes simulation<br />
� Stochastic planning <strong>of</strong> production processes<br />
� Job design<br />
� Time and work management<br />
� Project management<br />
� Ergonomics (Selected Topics)<br />
� Statistical methods for quality control<br />
� Metrology<br />
<strong>University</strong> <strong>of</strong> <strong>Maribor</strong> <strong>version</strong> <strong>01</strong> <strong>22.4.2009</strong>