Thomas Kirschstein
Thomas Kirschstein
Fraunhofer IMW
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Comparison of energy demands of drone-based and ground-based parcel delivery services
T Kirschstein
Transportation Research Part D: Transport and Environment 78, 102209, 2020
Integrated production and intermodal transportation planning in large scale production–distribution-networks
F Meisel, T Kirschstein, C Bierwirth
Transportation Research Part E: Logistics and Transportation Review 60, 62-78, 2013
GHG-emission models for assessing the eco-friendliness of road and rail freight transports
T Kirschstein, F Meisel
Transportation Research Part B: Methodological 73, 13-33, 2015
On transport service selection in intermodal rail/road distribution networks
C Bierwirth, T Kirschstein, F Meisel
Business Research 5, 198-219, 2012
The impact of path selection on GHG emissions in city logistics
M Behnke, T Kirschstein
Transportation Research Part E: Logistics and Transportation Review 106, 320-336, 2017
Planning of multi-product pipelines by economic lot scheduling models
T Kirschstein
European Journal of Operational Research 264 (1), 327-339, 2018
Assessing the market values of soccer players–a robust analysis of data from German 1. and 2. Bundesliga
T Kirschstein, S Liebscher
Journal of Applied Statistics 46 (7), 1336-1349, 2019
A column generation approach for an emission-oriented vehicle routing problem on a multigraph
M Behnke, T Kirschstein, C Bierwirth
European Journal of Operational Research 288 (3), 794-809, 2021
A multi-period multi-commodity lot-sizing problem with supplier selection, storage selection and discounts for the process industry
T Kirschstein, F Meisel
European Journal of Operational Research 279 (2), 393-406, 2019
Robust estimation of location and scatter by pruning the minimum spanning tree
T Kirschstein, S Liebscher, C Becker
Journal of Multivariate Analysis 120, 173-184, 2013
Integrated planning of chemical supply chains
T Kirschstein, T Kirschstein
Integrated Supply Chain Planning in Chemical Industry: Potentials of …, 2015
The flood algorithm—a multivariate, self-organizing-map-based, robust location and covariance estimator
S Liebscher, T Kirschstein, C Becker
Statistics and Computing 22, 325-336, 2012
Minimum volume peeling: A robust nonparametric estimator of the multivariate mode
T Kirschstein, S Liebscher, GC Porzio, G Ragozini
Computational Statistics & Data Analysis 93, 456-468, 2016
RDELA—a Delaunay-triangulation-based, location and covariance estimator with high breakdown point
S Liebscher, T Kirschstein, C Becker
Statistics and Computing 23, 677-688, 2013
Logistics Management
C Bierwirth, T Kirschstein, D Sackmann
Cham: Springer International Publishing (Lecture Notes in Logistics), 2019
The selective Traveling Salesman Problem with emission allocation rules
T Kirschstein, C Bierwirth
Or Spectrum 40 (1), 97-124, 2018
Predicting the outcome of professional darts tournaments
S Liebscher, T Kirschstein
International Journal of Performance Analysis in Sport 17 (5), 666-683, 2017
Efficiency of the pMST and RDELA Location and Scatter Estimators
S Liebscher, T Kirschstein
AStA Advances in Statistical Analysis 99, 63-82, 2015
On finite-sample robustness of directional location estimators
T Kirschstein, S Liebscher, G Pandolfo, GC Porzio, G Ragozini
Computational Statistics & Data Analysis 133, 53-75, 2019
Eco‐labeling of freight transport services: Design, evaluation, and research directions
T Kirschstein, A Heinold, M Behnke, F Meisel, C Bierwirth
Journal of Industrial Ecology 26 (3), 801-814, 2022
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