Tamás Koltai has been working as professor of production and operations management at the Department of Management and Business Economics since 1983. For 10 years he also taught operations management at the International Management Center (IMC) in Budapest as adjunct professor. He was a visiting Scholar at the University of Michigan Business School in Ann Arbor for one academic year, and he also worked as a visiting professor at the University of Seville in Spain for three years. He has a master degree in mechanical engineering, a PhD in industrial engineering, and a DSc from the Hungarian Academy of Sciences. He is currently the Dean of the School of Economic and Social Sciences of BME and the Head of the Business Administration and Management Science PhD School. He also works as editor in chief of Periodica Polytechnica Social and Management Sciences series, which is a scientific peer reviewed journal of the School of Management and Social Sciences.
He published several papers in International Journal of Production Economics, Omega, International Journal of Production Research, European Journal of Operational Research, Production and Operations Management and in Computers and Industrial Engineering.
QA306, Department of Management and Business Economics, Faculty of Economic and Social Sciences, Budapest University of Technology and Economics, Magyar tudósok körútja 2, H-1117 Budapest. firstname.lastname@example.org
Sensitivity analysis of the results of mathematical programing models in the area of production planning and scheduling; design of assembly lines with specific workforce constraints; performance evaluation of production and service operation using Data Envelopment Analysis (DEA)
- Koltai, T. and Kalló, N. (2017): Analysis of the effect of learning on the throughput-time in simple assembly lines. Computers & Industrial Engineering, Vol 11, pp. 507-515
- Koltai T, Lozano S, Uzonyi-Kecskés J, Moreno P (2017): Evaluation of the results of a production simulation game using a dynamic DEA approach, COMPUTERS AND INDUSTRIAL ENGINEERING 105: pp. 1-11.
- Koltai T, Kalló N, Györkös R (2015): Calculation of the Throughput-Time in Simple Assembly Lines with Learning Effect, IFAC-PAPERSONLINE 48: (3) pp. 314-319.
- Koltai T, Tatay V, Kalló N (2014): Application of the results of simple assembly line balancing models in practice: the case of a bicycle manufacturer, INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 27: (9) pp. 887-898.
- Koltai T, Tatay V (2013): Formulation of workforce skill constraints in assembly line balancing models, OPTIMIZATION AND ENGINEERING 14: (4) pp. 529-545.
- Koltai T, Tatay V (2011): A practical approach to sensitivity analysis in linear programming under degeneracy for management decision making, INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 131: (1) pp. 392-398.
- Koltai T, Stecke K E (2008): Route-independent analysis of available capacity in flexible manufacturing systems, PRODUCTION AND OPERATIONS MANAGEMENT 17: (2) pp. 211-223.
- Koltai T, Lozano S, Guerrero F, Onieva L (2000): A flexible costing system for flexible manufacturing systems using activity based costing, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 38: (7) pp. 1615-1630.
- Koltai T, Terlaky T (2000): The difference between the managerial and mathematical interpretation of sensitivity results in linear programming, INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 65: (3) pp. 257-274.
- Guerrero F, Lozano S, Koltai T, Larraneta J (1999): Machine loading and part type selection in flexible manufacturing systems, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 37: (6) pp. 1303-1317.
- Viola Tatay (BME FESS, 2013)
- Noémi Kalló (BME FESS, 2010)
- Viktor Juhász (BME FESS, 2007)
- Zoltán Sebestyén (BME FESS, 2004)
- Alexandra Tamás (BME FESS, expected: 2021)
- Imre Dimény (BME FESS, expected: 2021)
Research projects for students
- The evaluation of production and service systems using DEA
- Decision support in production- and service management using mathematical programming models