font size: A- A A+
  1. (required field)
  2. (required field)
  3. (required field)
  4. (required field, if you select the appropriate box)

Address:
Al. Jana Pawła II 37, 31-864 Kraków,
room: A430, building no. 5
Phone: +48 12 374 36 59
Email: alorenc@pk.edu.pl

Zeskanuj kod QR z danymi kontaktowymi

Submitting this form, you consent to the processing of your personal data in accordance with the Act of August 29, 1997. Protection of Personal Data (tekst jedn.: Dz. Ustaw z 2002 nr 101, poz. 926 z późn. zm.) To necessary to for this reply to my e-mail

 
Augustyn Lorenc
Phone.+48 12 374 36 59
Fax: +48 12 628 33 11
email: alorenc@pk.edu.pl
ResercherID: Q-5894-2016
Recent papers
  1. 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
  2. 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
  3. 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
  4. Lorenc A., Burinskiene A., Improve the orders picking in e-commerce by using WMS data and BigData analysis (2021), FME Transactions, VOL. 49, No 1, Belgrade, Serbia, pp. 233-243
  5. Lorenc A., Kuznar M., Lerher T.,, Solving Product Allocation Problem (PAP) by using ANN and clustering (2021), FME Transactions, VOL. 49, No 1, Belgrade, Serbia, pp. 206-213
Mendeley ORCID Thomson Reuters, ResearcherID Scopus Research Gate Google Scholar Linkedin
copyright © 2016 design: A.K. Lorenc