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.

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Publications

2024

Weihua Liu, Yuenan Cao, Jiahe Hou, Yang Cheng, Hing Kai Chan, Ou Tang (2024) Green procurement or green supply? A meta-analysis of their impacts on firm sustainability performance International Journal of Logistics Continue to DOI
Elena Farahbakhsh Touli, Hoang Nguyen, Olha Bodnar (2024) Monitoring the Dynamic Networks of Stock Returns with an Application to the Swedish Stock Market Computational Economics Continue to DOI
Junyi Lin, Mohamed M. Naim, Ou Tang (2024) In-house or outsourcing? The impact of remanufacturing strategies on the dynamics of component remanufacturing systems under lifecycle demand and returns European Journal of Operational Research, Vol. 315, p. 965-979 Continue to DOI
Kailing Li, Naiming Xie, Ou Tang (2024) Data-driven degradation trajectory prediction and online knee point identification of battery in electric vehicles Engineering Failure Analysis, Vol. 159, Article 108154 Continue to DOI
Hongfei Cheng, Yuxin Li, Yaling Pang, Jing Zhao, Kui Fu (2024) Can digital transformation change a firm's green innovation strategy? Evidence from China's heavily polluting industries Heliyon, Vol. 10, Article e24676 Continue to DOI

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