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Gprs Based Remote Monitoring System To Support Logistic Decisions

Author

Listed:
  • JÓZSEF KONYHA

    (University of Miskolc)

  • TAMÁS BÁNYAI

    (University of Miskolc)

Abstract

The increased complexity of business behaviour leaded to the appearance of new techniques, tools and technologies to fulfil market demands. The need for managing networked logistics or global supply chain is recognised due to the importance of the optimal control of logistic functions, such as purchasing, production, distribution and recycling. There are two wide categories of tools that support the development and control of logistic systems: design techniques and IT solutions. Unfortunately, a huge number of production and service companies do not possess all advantages of IT solutions and they continue their quest in improving their business processes without available up-to-date technologies. Wireless based data acquisition technologies are the focus of a huge number of research papers but in the field of logistics these technologies are not widely used. Within the frame of this paper authors are focusing on the IT solutions, especially on the General Packet Radio Service based remote monitoring. They describe the composition and the operation principle of the remote monitoring system.

Suggested Citation

  • József Konyha & Tamás Bányai, 2014. "Gprs Based Remote Monitoring System To Support Logistic Decisions," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 8(1), pages 67-76, December.
    • Handle: RePEc:pcz:alspcz:v:8:y:2014:i:1:p:67-76
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    References listed on IDEAS

    as
    1. repec:pcz:journl:v:6:y:2012:i:1:p:117-126 is not listed on IDEAS
    2. repec:pcz:journl:v:5:y:2011:i:1:p:57-62 is not listed on IDEAS
    3. László Kota, 2012. "Optimization Of The Supplier Selection Problem Using Discrete Firefly Algorithm," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 6(1), pages 117-126, December.
    4. Péter Telek, 2011. "Characteristic Solutions Of Material Flow Systems," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 5(1), pages 57-62, December.
    5. Soleimani, Hamed & Govindan, Kannan, 2014. "Reverse logistics network design and planning utilizing conditional value at risk," European Journal of Operational Research, Elsevier, vol. 237(2), pages 487-497.
    6. Islam, Dewan Md Zahurul & Fabian Meier, J. & Aditjandra, Paulus T. & Zunder, Thomas H. & Pace, Giuseppe, 2013. "Logistics and supply chain management," Research in Transportation Economics, Elsevier, vol. 41(1), pages 3-16.
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