Prof Marc Reimann

Professor

Department: Newcastle Business School

Key Publications

Please visit the Pure Research Information Portal for further information
Model-based production cost estimation to support bid processes, Borenich, A., Greistorfer, P., Reimann, M. 1 Sep 2020, In: Central European Journal of Operations Research
Proprietary Parts as a Secondary Market Strategy, Kleber, R., Neto, J., Reimann, M. 16 Jun 2020, In: European Journal of Operational Research
Should a manufacturer sell refurbished returns on the secondary market to incentivize retailers to reduce consumer returns?, Borenich, A., Dickbauer, Y., Reimann, M., Souza, G. 16 Apr 2020, In: European Journal of Operational Research
Two-sided competition with vertical differentiation in both acquisition and sales in remanufacturing, Kleber, R., Reimann, M., Souza, G., Zhang, W. 16 Jul 2020, In: European Journal of Operational Research
Managing a Closed-loop Supply Chain with Process Innovation for Remanufacturing, Reimann, M., Xiong, Y., Zhou, Y. 16 Jul 2019, In: European Journal of Operational Research
On the robustness of the consumer homogeneity assumption with respect to the discount factor for remanufactured products, Kleber, R., Reimann, M., Souza, G., Zhang, W. 16 Sep 2018, In: European Journal of Operational Research
The Line-haul Feeder Vehicle Routing Problem: Mathematical model formulation and heuristic approaches, Brandstätter, C., Reimann, M. 1 Oct 2018, In: European Journal of Operational Research
When remanufacturing meets product quality improvement, Li, G., Reimann, M., Zhang, W. 16 Dec 2018, In: European Journal of Operational Research
Accurate Response with Refurbished Consumer Returns, Reimann, M. 1 Feb 2016, In: Decision Sciences
Vehicle routing problems with time windows and multiple service workers, Senarclens de Grancy, G., Reimann, M. 1 Mar 2016, In: Central European Journal of Operations Research

Qualifications

Business and Administration PhD June 30 2003

Research Themes and Scholarly Interests

Quantitative analysis and optimisation of closed-loop supply chains, sustainable operations, adaptive and anticipative behavior of firms in supply chains

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Research at Northumbria

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