Details
Original language | English |
---|---|
Title of host publication | International Conference on Reliable Systems Engineering, ICoRSE 2022 |
Editors | Daniela Doina Cioboată |
Place of Publication | Cham |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 222-232 |
Number of pages | 11 |
ISBN (electronic) | 978-3-031-15944-2 |
ISBN (print) | 9783031159435 |
Publication status | Published - 2023 |
Event | International Conference on Reliable Systems Engineering, ICoRSE 2022 - Virtual, Online Duration: 8 Sept 2022 → 9 Sept 2022 |
Publication series
Name | Lecture Notes in Networks and Systems |
---|---|
Volume | 534 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (electronic) | 2367-3389 |
Abstract
In the last years strict quarantine regulations and the associated supply chain disturbances have changed the usual business processes, especially increasing logistics costs. In a pandemic environment, the rapid trend to online sales, and with it, the increase of turnover, have forced companies, especially logistics service providers, to look for solutions, which allow fast and accurate recognition of goods and establish the continuous control of material flow in all steps of the supply chain. One of the major problems in this field represents the lack of integration of yard, warehouse and transport management systems (YMS, WMS and TMS correspondingly), that results in schedule disturbances and uncontrolled material flow inside of a yard of logistics service providers. The goal of our work is to improve the YMS, obtaining new data about the status of the material flow object inside the yard of logistics complexes, using a universal RFID-based logistics complex model, which allows better integration of YMS with the WMS and TMS. Firstly, we provide a theoretical background of YMS and set up of the universal RFID-based logistics complex model. Then the model is mirrored in the software package AnyLogic, where three possible scenarios of transport vehicle identification are shown. Finally, the results and outlook of possible future research are presented.
Keywords
- Logistics, RFID, Yard management, YMS
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Signal Processing
- Computer Science(all)
- Computer Networks and Communications
Cite this
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International Conference on Reliable Systems Engineering, ICoRSE 2022. ed. / Daniela Doina Cioboată. Cham: Springer Science and Business Media Deutschland GmbH, 2023. p. 222-232 (Lecture Notes in Networks and Systems; Vol. 534 LNNS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards the Improvement of Yard Management Systems (YMS) Using Radio Frequency Identification (RFID)
AU - Alieksieiev, Volodymyr
AU - Kovalenko, Valentyn
AU - Stryzhak, Vsevolod
AU - Varchenko, Ivan
AU - Stryzhak, Mariana
AU - Heiden, Bernhard
AU - Tonino-Heiden, Bianca
PY - 2023
Y1 - 2023
N2 - In the last years strict quarantine regulations and the associated supply chain disturbances have changed the usual business processes, especially increasing logistics costs. In a pandemic environment, the rapid trend to online sales, and with it, the increase of turnover, have forced companies, especially logistics service providers, to look for solutions, which allow fast and accurate recognition of goods and establish the continuous control of material flow in all steps of the supply chain. One of the major problems in this field represents the lack of integration of yard, warehouse and transport management systems (YMS, WMS and TMS correspondingly), that results in schedule disturbances and uncontrolled material flow inside of a yard of logistics service providers. The goal of our work is to improve the YMS, obtaining new data about the status of the material flow object inside the yard of logistics complexes, using a universal RFID-based logistics complex model, which allows better integration of YMS with the WMS and TMS. Firstly, we provide a theoretical background of YMS and set up of the universal RFID-based logistics complex model. Then the model is mirrored in the software package AnyLogic, where three possible scenarios of transport vehicle identification are shown. Finally, the results and outlook of possible future research are presented.
AB - In the last years strict quarantine regulations and the associated supply chain disturbances have changed the usual business processes, especially increasing logistics costs. In a pandemic environment, the rapid trend to online sales, and with it, the increase of turnover, have forced companies, especially logistics service providers, to look for solutions, which allow fast and accurate recognition of goods and establish the continuous control of material flow in all steps of the supply chain. One of the major problems in this field represents the lack of integration of yard, warehouse and transport management systems (YMS, WMS and TMS correspondingly), that results in schedule disturbances and uncontrolled material flow inside of a yard of logistics service providers. The goal of our work is to improve the YMS, obtaining new data about the status of the material flow object inside the yard of logistics complexes, using a universal RFID-based logistics complex model, which allows better integration of YMS with the WMS and TMS. Firstly, we provide a theoretical background of YMS and set up of the universal RFID-based logistics complex model. Then the model is mirrored in the software package AnyLogic, where three possible scenarios of transport vehicle identification are shown. Finally, the results and outlook of possible future research are presented.
KW - Logistics
KW - RFID
KW - Yard management
KW - YMS
UR - http://www.scopus.com/inward/record.url?scp=85137975648&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-15944-2_21
DO - 10.1007/978-3-031-15944-2_21
M3 - Conference contribution
AN - SCOPUS:85137975648
SN - 9783031159435
T3 - Lecture Notes in Networks and Systems
SP - 222
EP - 232
BT - International Conference on Reliable Systems Engineering, ICoRSE 2022
A2 - Cioboată, Daniela Doina
PB - Springer Science and Business Media Deutschland GmbH
CY - Cham
T2 - International Conference on Reliable Systems Engineering, ICoRSE 2022
Y2 - 8 September 2022 through 9 September 2022
ER -