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Logistics information processing systems on the threshold of IoT

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents in general, the issue of logistics information and systems processing it in logistics chains. The concept of logistic information was defined and the main types were discussed, with particular emphasis on information associated with logistic facilities, such as warehouses. Thereafter, a three-level model of the information processing system in the logistics chain was presented and elaborated upon. The importance of new, primary concepts in the field of logistics information – Logistics 4.0 and Internet of Things as well as the resulting concept of decision centres scattered to the equipment layers of logistic systems were reviewed. The summary contains probable development trends in the five most important areas of logistics information processing in the future.
Rocznik
Tom
Strony
85--94
Opis fizyczny
Bibliogr. 28 poz.
Twórcy
  • Faculty of Transport, Warsaw University of Technology, Koszykowa 75 Street, 00-662 Warsaw, Poland.
  • Faculty of Transport, Warsaw University of Technology, Koszykowa 75 Street, 00-662 Warsaw, Poland.
Bibliografia
  • 1. Chad W. Autry, Stanley E. Griffis, Thomas J. Goldsby, L. Michelle Bobbitt. 2005. “Warehouse Management systems: resource commitment, capabilities, and organizational performance”. Journal of Business Logistics 26(2): 165-83. DOI: 10.1002/j.2158-1592.2005.tb00210.x.
  • 2. Bartholdi J.J., S.T. Hackman. 2019. Warehouse & Distribution Science. Release 0.98. Available at: http://www.warehouse-science.com.
  • 3. Bello Oladayo, Sherali Zeadally. 2016. “Intelligent device-to-device communication in the internet of things”. IEEE Systems Journal 10(3): 1172-82. DOI: 10.1109/jsyst.2014.2298837.
  • 4. Blog Flexis. “What is logistics 4.0”. Available at: http://www.blog.flexis.com/what-islogistics-4.0.
  • 5. Chandrashekhara B.G., K.N. Veena. 2018. “Routing in internet of things: review”. Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems (ICICCS) 201: 790-795. Vaigai College of Engineering, India. Jun 14, 2018 - Jun 15, 2018. Melur, Madurai - 625 122.
  • 6. Cotet Costel Emil, Gicu Calin Deac, Crina Narcisa Deac, Cicerone Laurentiu Popa. 2020. “An innovative industry 4.0 cloud data transfer method for an automated waste collection system”. Sustainability 12(5): 1839. DOI: 10.3390/su12051839.
  • 7. Dudek E., M. Siergiejczyk, M. Kozłowski. 2017. „Diagnostics of potential incompatibilities in aeronautical data and information chain”. Diagnostyka 18(2): 87-93.
  • 8. Feng Peilu. 2019. “Big data analysis of E-commerce based on the internet of things”. Proceedings of 2019 International Conference on Intelligent Transportation, Big Data and Smart City (ICITBS): 345-347. Article number 8669651. 18 March 2019. Changsha, China. ISBN: 978-1-7281-1307-4.
  • 9. Guo Jiahuan, Huili Feng, Jiejie Sun, Penghe Cao, Weifeng Wang, Hong Chen, Yuanchun Yu. 2019. “Application of cloud model to evaluation of forest soil fertility: a case in Chinese fir plantations in southern china”. Sustainability 11(22): 6286. DOI: 10.3390/su11226286.
  • 10. Jachimowski Roland, Piotr Gołębiowski, Mariusz Izdebski, Dariusz Pyza, Emilian Szczepański. 2017. “Designing and efficiency of database for simulation of processes in systems. Case study for the simulation of warehouse processes”. Archives of Transport 41(1): 31-42. DOI: 10.5604/01.3001.0009.7380.
  • 11. Jacyna-Gołda Ilona, Mariusz Izdebski, Askoldas Podviezko. 2017. “Assessment of efficiency of assignment of vehicles to tasks in supply chains: a case study of a municipal company”. Transport 32(3): 243-51. DOI: 10.3846/16484142.2016.1275040.
  • 12. Jevinger Åse, Jan A. Persson. 2019. “Exploring the potential of using real-time traveler data in public transport disturbance management”. Public Transport 11: 413-441.
  • 13. Liu Sichao, Yingfeng Zhang, Yang Liu, Lihui Wang, Xi Vincent Wang. 2019. “An ‘internet of things’ enabled dynamic optimization method for smart vehicles and logistics tasks”. Journal of Cleaner Production 215: 806-820. DOI: 10.1016/j.jclepro.2018.12.254.
  • 14. Mckinsey & Company. “Digital manufacturing: The revolution will be virtualized”. Available at: http://www.mckinsey.com/business-functions/operations/ourinsights/digital-manufacturing-the-revolution-will-be-virtualized.
  • 15. Mehmood Faisal, Shabir Ahmad, Dohyeun Kim. 2019. “Design and implementation of an interworking IoT platform and marketplace in cloud of things”. Sustainability 11(21): 5952. DOI: 10.3390/su11215952.
  • 16. Merriam-Webster. “Information”. Available at: http://www.merriamwebster.com/dictionary/information.
  • 17. Oncioiu Ionica, Ovidiu Constantin Bunget, Mirela Cătălina Türkes, Sorinel Căpus,neanu, Dan Ioan Topor, Attila Szora Tamas, Ileana-Sorina Rakos, Mihaela Stefan Hint. 2019. “The impact of big data analytics on company performance in supply chain management”. Sustainability 11(18): 4864. DOI: 10.3390/su11184864.
  • 18. Roccotelli Michele, Massimiliano Nolich, Maria Pia Fanti, Walter Ukovich. 2018. “Internet of things and virtual sensors for electromobility”. Internet Technology Letters 1(3). DOI: 10.1002/itl2.39.
  • 19. ScrapeHero. “How many products does amazon sell?”. Available at: http://www.scrapehero.com/many-products-amazon-sell-january-2018.
  • 20. Siergiejczyk Mirosław, Adam Rosiński. 2011. “Bezpieczeństwo danych w systemach informatycznych baz logistycznych”. [In Polish: “Data security in IT systems of logistic databases”]. Logistyka 4 (2011): 836-843
  • 21. Smith Alan D. 2005. “Exploring radio frequency identification technology and its impact on business systems”. Information Management & Computer Security 13(1): 16-28. DOI: 10.1108/09685220510582647.
  • 22. Supplychain247. “Warehouse management systems & warehouse control systems in the age of the internet of things”. Available at: http://www.supplychain247.com/article/warehouse_management_systems_warehouse_control_systems/forte_industries.
  • 23. Szczepański Emilian, Roland Jachimowski, Mariusz Izdebski, Ilona Jacyna-Gołda. 2019. “Warehouse location problem in supply chain designing: a simulation analysis”. Archives of Transport 50(2): 101-10. DOI: 10.5604/01.3001.0013.5752.
  • 24. Szymańska Olga, Michał Adamczak, Piotr Cyplik. 2017. “Logistics 4.0 - a new paradigm or set of known solutions?”. Research in Logistics & Production 7(4): 299-310.
  • 25. Turki Sadok, Stanislav Didukh, Christophe Sauvey, Nidhal Rezg. 2017. “Optimization and analysis of a manufacturing–remanufacturing–transport–warehousing system within a closed-loop supply chain”. Sustainability 9(4): 561. DOI: 10.3390/su9040561.
  • 26. Wasiak Mariusz, Marianna Jacyna, Konrad Lewczuk, Emilian Szczepański. 2017. “The method for evaluation of efficiency of the concept of centrally managed distribution in cities”. Transport 32(4): 348-57. DOI: 10.3846/16484142.2017.1345005.
  • 27. Xiao Qiang, Ruichun He, Changxi Ma. 2018. “The analysis of urban taxi carpooling impact from taxi GPS data”. Archives of Transport 47(3): 109-120. DOI: 10.5604/01.3001.0012.6514.
  • 28. Zieja Mariusz, Henryk Smoliński, Paweł Gołda. 2015. “Information systems as a tool for supporting the management of aircraft flight safety”. Archives of Transport 36(4): 67-76. DOI: 10.5604/08669546.1185211.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7b7dbd38-8233-439e-a327-ed239aaab0e6
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