Augusto Urru studierte Industrial Engineering (B.Sc.) und Engineering and Industrial Management (M.Sc.) an der Universität Pisa (Università di Pisa - Italien) und schloss seinen Master im Jahr 2013 ab. Seitdem arbeitet er als Wissenschaftlicher Mitarbeiter an der Hochschule Reutlingen. Kern seiner Forschungstätigkeit ist die Planung und Optimierung von innovativen Logistiksystemen (Intra- und Extralogistik), mit dem Schwerpunkt Automatisierung. Die Forschungsergebnisse übermittelt er in Lehrveranstaltungen und studentischen Unternehmensprojekten. Von 2013 - 2018 übte er eine Nebenbeschäftigung als Projektleiter und Berater am Institut für technische Logistik (2013 – 2018) aus.  Seit 2018 führt er diese Nebenbeschäftigung am Steinbeis Transferzentrum technische Logistik fort.

Als externer Doktorand in Kooperation mit der Hochschule Reutlingen untersucht Augusto Methoden und Prozesse zur Planung und Dimensionierung von komplexen Logistiksystemen und deren Anwendbarkeit im Unternehmen. In diesem Bereich arbeitet Augusto im Projekt ZAFH Intralogistik in Zusammenarbeit mit dem DBIS der Universität Ulm, um die Flexibilisierung von automatisierten Prozessen in der Intralogistik voranzubringen.

2021

[1] A. Urru et al., “Towards the Full Automation of Low Emissions Inland Intermodal Terminals,” in 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech) (to appear), 2021.

[2] T. Nguyen et al., “Automation ? Yes … but where to begin ?,” in Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (to appear), 2021.

[3] M. Rieder, M. Bonini, R. Verbeet, A. Urru, N. Bartneck, and W. Echelmeyer, “Evaluation of Human-Robot Order Picking Systems Considering the Evolution of Object Detection,” in Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (to appear), 2021.

[4] M. Bonini, M. Mete, T. Nguyen, A. Urru, and W. Echelmeyer, “The STIC Analysis : a Decision Support Method for Investments in Automation,” in Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (to appear), 2021.

[5] A. Urru, J. P. Wezel, M. Bonini, and W. Echelmeyer, “Dynamic Resource Allocation Considering Ergonomics in Intralogistics,” INES 2021 - IEEE 25th Int. Conf. Intell. Eng. Syst. Proc., pp. 81–88, 2021.

2020

[6] M. Bonini, J. Schuhmacher, A. Urru, J. P. Wezel, V. Hummel, and W. Echelmeyer, “Planning of Available Resources Considering Ergonomics Under Deterministic Highly Variable Demand,” in 2020 IEEE International Conference on Industrial Engineering and Engineering Management, 2020, pp. 96–102.

2019

[7] A. Urru et al., “A heuristic method for developing innovative city logistics concepts,” in 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech), 2019, pp. 1–6.

[8] M. Bonini, A. Urru, and W. Echelmeyer, “The Quality Interaction Function Deployment for lean Human-Robot Interaction,” in Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics (MMAR 2019), 2019, pp. 145–151.

[9] M. Bonini, A. Urru, and W. Echelmeyer, “Lean Human-Robot Interaction Design for the Material Supply Process,” in Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, 2019, pp. 523–529.

2018

[10] A. Urru, M. Bonini, and W. Echelmeyer, “Fleet-sizing of multi-load autonomous robots for material supply,” Proc. 2018 IEEE Int. Conf. Serv. Oper. Logist. Informatics, SOLI 2018, pp. 244–249, 2018.

[11] A. Urru, M. Bonini, and W. Echelmeyer, “Planning of a Milk-Run Systems in High Constrained Industrial Scenarios,” INES 2018 - IEEE 22nd Int. Conf. Intell. Eng. Syst. Proc., pp. 000231–000238, 2018.

[12] A. Urru, M. Bonini, and W. Echelmeyer, “Planning and dimensioning of a milk-run transportation system considering the actual line consumption,” IFAC-PapersOnLine, vol. 51, no. 9, pp. 404–409, 2018.

[13] M. Bonini et al., “Automation of Intralogistic Processes through Flexibilisation A method for the flexible configuration and evaluation of systems of systems,” in Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, 2018, p. Volume 2, pages 380-388.

2017

[14] A. Urru, M. Bonini, and W. Echelmeyer, “The STIC analysis: A decision support tool for technology related investments in logistics,” in Proceedings - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2017, 2017.

[15] A. Urru, M. Bonini, and W. Echelmeyer, “Material supply by means of multi-load autonomous robots, Fleet-sizing of a logistic system for the supply of small load carriers,” in 6th IEEE International Conference on Advanced Logistics and Transport, ICALT 2017 - Proceedings, 2018.

2016

[16] M. Bonini, A. Urru, and W. Echelmeyer, “Fast deployable autonomous systems for order picking: How small and medium size enterprises can benefit from the automation of the picking process,” in Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics, 2016, vol. 2.

2015

[17] M. Bonini, D. Prenesti, A. Urru, and W. Echelmeyer, “Towards the full automation of distribution centers,” in 2015 4th IEEE International Conference on Advanced Logistics and Transport, IEEE ICALT 2015, 2015.

[18] A. Urru, M. Bonini, T. Burbach, E. Hong, P. Stein, and W. Echelmeyer, “Autonomous unloading of heavy deformable goods: Market opportunities,” in 10th IEEE Int. Conf. on Service Operations and Logistics, and Informatics, SOLI 2015 - In conjunction with ICT4ALL 2015, 2015.

[19] M. Bonini, A. Urru, M. Gerhard, S. Griesbach, P. Procopio, and W. Echelmeyer, “Evaluating Investments in Emerging Automation Solutions for Logistics,” in Innovations and strategies for logistics and supply chains: technologies, business models and risk management, no. August, Epubli, 2015, pp. 359–388.

Augusto Urru
Externer Doktorand

Büro: Geb. O27 - Raum 523
Sprechzeiten nach Vereinbarung

augusto.urru(at)reutlingen-university.de

Telefon:	+49 7121 2713114
Fax:	+49 731 50 24 134