Abstract
This paper provides an abstract view of the Industry 4.0 as the next industrial revolution. Cyber Physical Systems (CPS) as smart connected solutions are considered to be the key answer to the needs of future industry. Effects of this revolution on the logistics sector is analysed and integration of CPS in this field is presented.
To evaluate the quality of CPS solutions in the field of logistics, PhyNetLab and its subcomponents are presented as a physical testbed for testing CPS nodes, structural designs, communication platform and protocols in addition to the energy challenges for materials handling and warehousing application.
inBin and P-ink as two CPS solutions are reviewed in the context of the order-picking. Also, iCon as an alternative outdoor asset tracking solution is presented.
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References
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., Hoffmann, M.: Industry 4.0. Bus. Inf. Syst. Eng. 6, 239–242 (2014)
Masoudinejad, M., Emmerich, J., Kossmann, D., Riesner, A., Roidl, M., ten Hompel, M.: A measurement platform for photovoltaic performance analysis in environments with ultra-low energy harvesting potential. Sustain. Cities Soc. 25, 74–81 (2015)
Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. Int. J. Mech. Ind. Sci. Eng. 8, 37–44 (2014)
Jazdi, N.: Cyber physical systems in the context of Industry 4.0. In: 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, pp. 1–4 (2014)
Macaulay, J., Buckalew, L., Chung, G.: Internet of Things in Logistics. DHL Trend Research, Cisco Consulting Services, Troisdorf (2015)
Lee, J., Bagheri, B., Kao, H.-A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)
Meyer-Rühle, O. et. al.: Statistical coverage and economic analysis of the logistics sector in the EU. SEALS Consortium, Basel-Rotterdam-Nürnberg-Denzlingen (2009)
Fact-finding studies in support of the development of an EU strategy for freight transport logistics, Lot 1: Analysis of the EU logistics sector. Ecorys, Fraunhofer, TCI, Prognos and AUEB-RC/TRANSLOG (2015)
Masoudinejad, M., Emmerich, J., Kossmann, D., Riesner, A., Roidl, M., ten Hompel, M.: Development of a measurement platform for indoor photovoltaic energy harvesting in materials handling applications. In: 6th IEEE International Renewable Energy Congress, pp. 1–6 (2015)
Roidl, M., Emmerich, J., Riesner, A., Masoudinejad, M., Kaulbars, D., Ide, C., Wietfeld, C., ten Hompel, M.: Performance availability evaluation of smart devices in materials handling systems. In: IEEE ICCC Workshops on Internet of Things, pp. 6–10 (2014)
Lewandowski, M., Gath, M., Werthmann, D., Lawo, M.: Agent-based control for material handling systems in in-house logistics - towards cyber-physical systems in in-house-logistics utilizing real size. In: Proceedings of 2013 European Conference on Smart Objects, Systems and Technologies, SmartSysTech, pp. 1–5 (2013)
Kamagaew, A., Kirks, T., Ten Hompel, M.: Energy potential detection for autarkic smart object design in facility logistics. In: IEEE International Conference on Control System, Computing and Engineering, pp. 285–290 (2011)
Venkatapathy, A.K.R., Roidl, M., Riesner, A., Emmerich, J., ten Hompel, M.: PhyNetLab: architecture design of ultra-low power wireless sensor network testbed. In: IEEE 16th International Symposium on a World of Wireless, Mobile and Multimedia Networks, pp. 1–6. IEEE (2015)
Venkatapathy, A.K.R., Riesner, A., Roidl, M., Emmerich, J., ten Hompel, M.: PhyNode: an intelligent, cyber-physical system with energy neutral operation for PhyNetLab. In: Proceedings of Smart SysTech, European Conference on Smart Objects, Systems and Technologies, VDE-Verl, pp. 1–8 (2015)
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Part of the work on this paper has been funded by Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876 “Providing Information by Resource Constrained Analysis”, project A4.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Masoudinejad, M., Ramachandran Venkatapathy, A.K., Emmerich, J., Riesner, A. (2017). Smart Sensing Devices for Logistics Application. In: Magno, M., Ferrero, F., Bilas, V. (eds) Sensor Systems and Software. S-CUBE 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 205. Springer, Cham. https://doi.org/10.1007/978-3-319-61563-9_4
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DOI: https://doi.org/10.1007/978-3-319-61563-9_4
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