Production Economics (PEK)

The division of Production Economics is part of the Department of Management and Engineering and carries out education and research connected to the optimal use of productive resources within manufacturing or optimal financial decisions.

Education in Production Economics

The majority of the undergraduate courses are given in the engineering programs Industrial Engineering and Management and Mechanical Engineering, and in the international master's programme Industrial Engineering and Management. We offer a number of basic courses in for example production economics, economic analysis and corporate finance. The division is also responsible for two master profiles, operations management and finance, which in total have more than ten courses on advanced level. In addition to this, we supervise and examine a number of master theses every year.

Research in Production Economics

Production Economics is an interdisciplinary engineering subject, which covers management of resources within various business types. The research at the division is focused on the problems in the cross-section between management and engineering, which results in research that applies mathematical methods from engineering science to management problems. The research covers problems at both a strategic, a tactical and an operational level.

News

Publications

2025

Olha Bodnar, Taras Bodnar (2025) Birge ratio method for modeling dark uncertainty in multivariate meta-analyses and inter-laboratory studies Journal of Multivariate Analysis, Vol. 205, Article 105376 (Article in journal) Continue to DOI

2024

Qingtao Liu, Xinji Wei, Qi Wang, Jiayao Song, Jingxiang Lv, Ying Liu, Ou Tang (2024) An investigation of mixed-model assembly line balancing problem with uncertain assembly time in remanufacturing Computers & industrial engineering, Vol. 198, Article 110676 (Article in journal) Continue to DOI
Roger Pyddoke, Helene Lidestam (2024) Upphandling och avtal i regional busstrafik Kollektivtrafik som medel för hållbara städer och regioner: det vi vet efter tio års forskning, p. 113-125 (Chapter in book)
Taras Bodnar, Vilhelm Niklasson, Erik Thorsen (2024) Volatility-sensitive Bayesian estimation ofportfolio value-at-risk and conditionalvalue-at-risk Journal of Risk, Vol. 26 (Article in journal) Continue to DOI
Olha Bodnar, Taras Bodnar, Vilhelm Niklasson (2024) Incorporating Different Sources of Information for Bayesian Optimal Portfolio Selection Journal of business & economic statistics (Article in journal) Continue to DOI

Research group

Contact

Staff

Organisation