Research projects
- EUREKA PROJECT E!6726 LOADFIX," Development of the Software Web Application for Loading and Fixing Goods in Railway Freight Wagons" (OLTIS Group, University of ??ilina, The Faculty of Operation and Economics of Transport and Communications, Institute of Rail Vehicle PK), 2013-2016, co-worker.
- M-8/355/2016/DS-M, "Optimization of logistics processes in warehouse", 20.04.2016-15.12.2017, project manager.
- RPMP.01.02.01-12-0497/16, "SKK Hive Analysis - System for proactive management and analysis of resources", 01.04.2017-30.02.2021, project vice manager.
- RPMP.01.02.01-12-0530/17, "SKK Hive X – intelligent system of prediction and prevention of damage to products in the transport chain", 01.11.2017-31.07.2018 r., project manager.
- M-08/279/2019/P "Designing the schedule of vehicle inspections at levels P1 - P5 taking into account cycles and current mileage of traction vehicles" - subcontracting under the project "Selected problems of optimal management of rolling stock operation and work of traction teams" POIR.01.01.01-00-0952/18-00, 01.07.2019-30.04.2022, R&D project manager as a subcontractor.
- RPMP.01.02.01-12-0361/19 "Smart Logistics Unit for IoT and Industry 4.0 - a logistic unit that uses artificial intelligence to optimize processes", 01.11.2019-31.07.2022, project manager.
- POWR.03.01.00-00-T071/18 Operational project Knowledge Education Development (implementation project) "Laboratory of the Little Engineer" - conducting didactic classes with early school children. From 01.02.2019 – 30.04.2022 r, he was employed as part of the project as: Lecturer
Augustyn Lorenc
Phone.+48 12 374 36 59
Fax: +48 12 628 33 11
email: alorenc@pk.edu.pl
ResercherID: Q-5894-2016
Phone.+48 12 374 36 59
Fax: +48 12 628 33 11
email: alorenc@pk.edu.pl
ResercherID: Q-5894-2016
Recent papers
- Lorenc A., Czuba M., Szarata J., Real time location system (RTLS) based on the Bluetooth technology for internal logistics (2023), Sustainability, 15, 4976, Basel, Switzerland, pp. 1-22
- Ku??nar M., Lorenc A., The most common type of disruption in the supply chain - evaluation based on the method using artificial neural networks (2021), International Journal of Shipping and Transport Logistics, Vol. 13, No. 1-2, Bristol (UK), pp. 1-24
- Kuznar M., Lorenc A., A method of predicting wear and damage of pantograph sliding strips based on Artificial Neural Networks (2021), Materials, 15(98), Basel, Switzerland, pp. 1-23
- Kuznar M., Lorenc A., Kaczor G., Pantograph Sliding Strips Failure - Reliability Assessment and Damage Reduction Method Based on Decision Tree Model (2021), Materials, 14(19), 5743, Basel, Switzerland, pp. 1-17
- Lorenc A., Szarata J., Czuba M., Big Data analytics and anomaly prediction in the cold chain to supply chain resilience (2021), FME Transactions, VOL. 49, No 2, Belgrade, Serbia, pp. 315-326
