Obserwuj
Augustyn Lorenc
Augustyn Lorenc
Cracow University of Technology, Institute of Rail Vehicles
Zweryfikowany adres z pk.edu.pl - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A SIMULATION STUDY FOR THE SUSTAINABILITY AND REDUCTION OF WASTE IN WAREHOUSE LOGISTICS.
A Burinskiene, A Lorenc, T Lerher
International Journal of Simulation Modelling (IJSIMM) 17 (3), 2018
572018
Effectiveness of Product Storage Policy According to Classification Criteria and Warehouse Size
A Lorenc, T Lerher
FME TRANSACTIONS 47 (1), 142-150, 2019
332019
An Intelligent System to Predict Risk and Costs of Cargo Thefts in Road Transport
A Lorenc, M Kuznar
INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION 8 (4), 284-293, 2018
302018
Customer logistic service in the automotive industry with the use of the SAP ERP system
A Lorenc, M Szkoda
Advanced Logistics and Transport (ICALT), 2015 4th International Conference …, 2015
282015
Predicting the Probability of Cargo Theft for Individual Cases in Railway Transport
A Lorenc, M Kuźnar, T Lerher, M Szkoda
Tehnički vjesnik 27 (3), 773-780, 2020
232020
A Precise Algorithm for Detecting Malicious Sybil Nodes in Mobile Wireless Sensor Networks
M Jamshidi, AM Darwesh, A Lorenc, M Ranjbari, MR Meybodi
IEIE Transactions on Smart Processing & Computing 7 (6), 457-466, 2018
202018
PickupSimulo–Prototype of Intelligent Software to Support Warehouse Managers Decisions for Product Allocation Problem
A Lorenc, T Lerher
Applied Sciences 10 (23), 8683, 2020
192020
Big data analytics and anomaly prediction in the cold chain to supply chain resilience
A Lorenc, M Czuba, J Szarata
FME Transactions 49 (2), 315-326, 2021
162021
Improve the orders picking in e-commerce by using WMS data and BigData analysis
A Lorenc, A Burinskiene
FME Transactions 49 (1), 233-243, 2021
152021
The most common type of disruption in the supply chain-evaluation based on the method using artificial neural networks
A Lorenc, M Kuźnar
International Journal of Shipping and Transport Logistics 13 (1-2), 1-24, 2021
142021
A Method of Predicting Wear and Damage of Pantograph Sliding Strips Based on Artificial Neural Networks
M Kuźnar, A Lorenc
Materials 15 (1), 98, 2022
102022
The routes optimization of picking up commodities in stock considering their natural characteristics
A Lorenc, P Więcek
CLC 2013: Carpathian Logistics Congress ‐ Congress Proceedings, 307-312, 2014
102014
Solving product allocation problem (PAP) by using ANN and clustering
A Lorenc, M Kuźnar, T Lerher
FME Transactions 49 (1), 206-213, 2021
92021
Information system aiding the logistics processes of loading and securing in railway transport
A Lorenc, M Michnej, M Szkoda
International Journal of Shipping and Transport Logistics 8 (5), 568-589, 2016
92016
THE IMPACT OF TRAILER CONDITIONS ON THE QUALITY OF REFRIGERATED FOOD TRANSPORT SERVICES-A CASE STUDY.
T GAJEWSKA, A LORENC
Transport Problems: an International Scientific Journal 14 (3), 2019
72019
Ocena efektywności logistycznej obsługi klienta w branży KEP
J Ratajczak, A Lorenc
Logistyka 6, 1251-1261, 2015
72015
Metody klasyfikacji i rozmieszczania produktów w magazynie – przegląd praktycznych rozwiązań
A Lorenc
Logistyka 3, 3831-3837, 2014
72014
Model of Container Transport System in Long Distance Freightage – Analysis and Optimalization of Supply Chain
A Lorenc
Logistics and Transport, 81-87, 2013
72013
The impact of cargo monitoring systems usage on intermodal transport risk and costs
A Lorenc, M Kuźnar
World Review of Intermodal Transportation Research 6 (4), 336-351, 2017
62017
Planowanie rozmieszczania produktów w magazynie – najnowsze rozwiązania i trendy rozwojowe
A Lorenc
Logistyka 3, 3838-3844, 2014
62014
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20