C. Roser, K. Lorentzen, and J. Deuse, Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk, Logistics Research, vol.24, issue.5, 2015.
DOI : 10.1007/978-3-319-22759-7_32

C. Romeser and C. Roser, Direction of the Bottleneck in Dependence on Inventory Levels, Proceedings of the International Conference on the Advances in Production Management System, 2016.
DOI : 10.1109/WSC.2008.4736262
URL : https://hal.archives-ouvertes.fr/hal-01615777

C. Roser and M. Nakano, A Quantitative Comparison of Bottleneck Detection Methods in Manufacturing Systems with Particular Consideration for Shifting Bottlenecks, Proceedings of the International Conference on the Advances in Production Management System, 2015.
DOI : 10.1007/978-3-319-22759-7_32
URL : https://hal.archives-ouvertes.fr/hal-01431106

S. Chiang, C. Kuo, and S. M. Meerkov, Bottlenecks in Markovian production lines: a systems approach, IEEE Transactions on Robotics and Automation, vol.14, issue.2, pp.352-359, 1998.
DOI : 10.1109/70.681256

P. J. Schweitzer, G. Serazzi, and M. Broglia, A survey of bottleneck analysis in closed networks of queues, Performance Evaluation of Computer and Communication Systems, pp.491-508, 1993.
DOI : 10.1007/BFb0013865

S. Chiang, C. Kuo, and S. M. Meerkov, c-Bottlenecks in Serial Production Lines: Identification and Application, Math. Probl. Eng, 2002.

P. K. Pollett, Modelling congestion in closed queueing networks, International Transactions in Operational Research, vol.5, issue.4-5, pp.319-330, 2000.
DOI : 10.2307/3211921

S. R. Lawrence and A. H. Buss, SHIFTING PRODUCTION BOTTLENECKS: CAUSES, CURES, AND CONUNDRUMS, Production and Operations Management, vol.26, issue.8, pp.21-37, 1994.
DOI : 10.1111/j.1937-5956.1994.tb00107.x

L. Li, Q. Chang, J. Ni, G. Xiao, and S. Biller, Bottleneck Detection of Manufacturing Systems Using Data Driven Method, IEEE International Symposium on Assembly and Manufacturing, pp.76-81, 2007.

G. F. Elmasry and C. J. Mccann, Bottleneck discovery in large-scale networks based on the expected value of per-hop delay, IEEE Military Communications Conference, 2003. MILCOM 2003., pp.405-410, 2003.
DOI : 10.1109/MILCOM.2003.1290137

C. Kuo, J. Lim, and S. M. Meerkov, Bottlenecks in serial production lines: A system-theoretic approach, Mathematical Problems in Engineering, vol.2, issue.3, pp.233-276, 1996.
DOI : 10.1155/S1024123X96000348

L. Li, Q. Chang, and J. Ni, Data driven bottleneck detection of manufacturing systems, International Journal of Production Research, vol.3, issue.18, pp.5019-5036, 2009.
DOI : 10.1109/9.53518

S. Sengupta, K. Das, and R. P. Vantil, A new method for bottleneck detection, 2008 Winter Simulation Conference, pp.1741-1745, 2008.
DOI : 10.1109/WSC.2008.4736261

E. Lima, L. Chwif, and M. R. Barreto, Metodology for selecting the best suitable bottleneck detection method, 2008 Winter Simulation Conference, pp.1746-1751, 2008.
DOI : 10.1109/WSC.2008.4736262

Y. Wang, Q. Zhao, and D. Zheng, Bottlenecks in production networks: An overview, Journal of Systems Science and Systems Engineering, vol.62, issue.6, pp.347-363, 2005.
DOI : 10.1002/j.1538-7305.1983.tb03204.x

C. Roser, M. Nakano, and M. Tanaka, Detecting Shifting Bottlenecks, International Symposium on Scheduling, pp.59-62, 2002.

C. Roser, M. Nakano, and M. Tanaka, Shifting bottleneck detection, Proceedings of the Winter Simulation Conference, pp.1079-1086, 2002.
DOI : 10.1109/WSC.2002.1166360
URL : https://hal.archives-ouvertes.fr/hal-01431106

C. Roser, M. Nakano, and M. Tanaka, A practical bottleneck detection method, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304), pp.949-953, 2001.
DOI : 10.1109/WSC.2001.977398

C. Roser, K. Lorentzen, and J. Deuse, Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk, Proceedings of the Robust Manufacturing Conference, 2014.
DOI : 10.1007/978-3-319-22759-7_32

J. Deuse, D. Lenze, F. Klenner, and T. Friedrich, Manufacturing Data Analytics zur Identifikation dynamischer Engpässe in Produktionssystemen mit hoher wertschöpfender Variabilität, Megatrend Digitalisierung -Potenziale der Arbeits-und Betriebsorganisation, 2016.

M. Wedel, M. Von-hacht, R. Hieber, J. Metternich, and E. Abele, Real-time Bottleneck Detection and Prediction to Prioritize Fault Repair in Interlinked Production Lines, Procedia CIRP, vol.37, pp.140-145, 2015.
DOI : 10.1016/j.procir.2015.08.071

M. Wedel, P. Noessler, and J. Metternich, Development of bottleneck detection methods allowing for an effective fault repair prioritization in machining lines of the automobile industry, Production Engineering, vol.66, issue.3, pp.329-336, 2016.
DOI : 10.1007/s00170-012-4395-6

C. Roser, M. Nakano, and M. Tanaka, Comparison of bottleneck detection methods for AGV systems, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), pp.1192-1198, 2003.
DOI : 10.1109/WSC.2003.1261549