Characteristic of Intelligent Objects in a Digitized Logistics

Marcus Lewin, Alexander Fay ORCID Icon
JournalIndustrie 4.0 Management
Issue Volume 34, 2018, Edition 5, Pages 21-24
Open Accesshttps://doi.org/10.30844/I40M18-5_21-24
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Abstract

As a result of digitization, logistics objects and systems are increasingly being equipped with information and communication technologies, which is accompanied by new functionalities. Such smart objects enable a high-resolution representation of processes within a supply chain and support their control. At the same time, the variations in the technical design and integration are increasing. For the handling of complexity, an approach for a systematic structuring of objects in logistics with regard to function, structure and dependencies is presented.

Keywords

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Bibliography

[1] Kagermann, H.: Chancen von Industrie 4.0 nutzen. In: Vogel-Heuser, B.; Bauernhansl, T.; ten Hompel, M. (Hrsg): Handbuch Industrie 4.0 Bd.4. Berlin Heidelberg 2017, S. 237-248.
[2] Sánchez López, T. u. a.: Taxonomy, technology and applications of smart objects. In: Information Systems Frontiers 13 (2011) 2, S. 281-300.
[3] Deindl, M.: Gestaltung des Einsatzes von intelligenten Objekten in Produktion und Logistik. Aachen 2013.
[4] Mattern, F.; Flörkemeier C.: Vom Internet der Computer zum Internet der Dinge. In: Informatik-Spektrum 33 (2010) 2, S. 107-121.
[5] Nochta, Z.: Smart Items in Real Time Enterprises. In: Mühlhäuser, M.; Gurevych, I. (Hrsg): Handbook of research on ubi- quitous computing technology for real time enterprises. Hershey 2008, S. 211-228.
[6] Wong, C.Y. u. a.: The intelligent product driven supply chain. In: SMC2002: IEEE International Conference on Systems, Man and Cybernetics. 2002.
[7] Tellkamp, C.: Finanzielle Bewertung von Ubiquitous-Computing-Anwendungen. In: Fleisch, Mattern (Hrsg): Das Internet der Dinge. Berlin 2005, S. 315-327.
[8] Schoch, T.; Strassner, M.: Wie smarte Dinge Prozesse un- terstützen. In: Sauerburger (Hrsg): Ubiquitous Computing. Heidelberg 2003, S. 23- 32.
[9] Diekmann, T.: Ubiquitous Computing-Technologien im betrieblichen Umfeld. Göttingen 2007.
[10] Scholz-Reiter, B. u. a.: Auf dem Weg zur Selbststeuerung in der Logistik-Grundlagenfor- schung und Praxisprojekte. In: Begleitband zur 11. Magdeburger Logistiktagung. Magdeburg 2005, S. 166-180.
[11] Preiß, H.; Klötzer, C.; Pflaum, A.: Einsatz und Auswahl von RFID-Systemen in der Logistik. In: WiSt – Wirtschaftswissenschaftliches Studium 42 (2013) 2, S. 63-68.
[12] Böse, F.; Windt, K.: Catalogue of Criteria for Autonomous Control in Logistics. In: Windt, Hülsmann (Hrsg): Understanding autonomous cooperation and control in logistics. Berlin New York 2007, S. 57-72.
[13] Gausemeier, J.; Tschirner, C.; Dumitrescu, R.: Auf dem Weg zu intelligenten technischen Systemen, In: Industrie Management 29 (2013) 1, S. 1-37.
[14] RICHTLINIE, VDI: 2206. Entwicklungsmethodik für mechatronische Systeme. Berlin 2004.
[15] Fortino, G. u. a.: On the Classification of Cyberphysical Smart Objects in the Internet of Things. In: Fortino, G.; Karnouskos, S.; Marrón, P. J. (Hrsg): Proceedings of the 5th International Workshop on Networks of Cooperating Objects for Smart Cities (UBI- CITEC 2014), S. 86-94.
[16] Adolphs, P. u. a.: Statusreport – Referenzarchitekturmodell Industrie 4.0 (RAMI4.0). 2015. URL: www.vdi. de/fileadmin/user_upload/VDI-GMA_Statusreport_Referenzarchitekturmodell-Industrie40.pdf, Abrufdatum 03.05.2018.
[17] RICHTLINIE, VDI/VDE: 2653–1: Agentensysteme in der Automatisierungstechnik – Grundlagen. Berlin 2010.

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