Definition
The dynamic and structural complexity of production and logistics networks makes it very difficult to provide all information necessary for a central planning and control instance. It requires, therefore, adaptive production and logistic processes including autonomous capabilities for the decentralized coordination of autonomous objects in a heterarchical structure. The autonomy of the objects can be realized by novel communication technologies such as Radio Frequency Identification (RFID) and wireless communication networks. These and others permit and require new control strategies and autonomous decentralized control systems for production and logistic processes. In this setting, aspects like flexibility, adaptivity, and reactivity to dynamically changing external influences while maintaining the global goals are of central interest (Fig. 1).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Armbruster D, de Beer C, Freitag M, Jagalski T, Ringhofer C (2006) Autonomous control of production networks using a pheromone approach. Physica A 363(1):104–114
Philipp T, de Beer C, Windt K, Scholz-Reiter B (2007) Evaluation of autonomous logistic processes-analysis of the influence of structural complexity. In: Hülsmann M, Windt K (eds) Understanding autonomous cooperation control in logistics the impact on management, information and communication and material flow. Springer, Berlin, pp 303–324
Scholz-Reiter B, Uckelmann D, Gorldt C, Hinrichs U, Tervo J (2008a) Moving from RFID to autonomous cooperating logistic processes. In: Miles S, Sarma S, Williams J (eds) RFID technology and applications. Cambridge University Press, Cambride, pp 183–195
Scholz-Reiter B, Jagalski T, Bendul J (2008b) Autonomous control of a shop floor based on bee’s foraging behaviour. In: Haasis H-D, Kreowski H-J, Scholz-Reiter B (eds) First international conference on dynamics in logistics. LDIC 2007, Springer, Berlin/Heidelberg, pp 415–423
Scholz-Reiter B, Görges M, Philipp T (2009a) Autonomously controlled production systems-influence of autonomous control level on logistic performance. CIRP Ann Manuf Technol 58(1):395–398
Scholz-Reiter B, Görges M, Jagalski T, Mehrsai A (2009b) Modelling and analysis of autonomously controlled production networks. In: Proceedings of the 13th IFAC symposium on information control problems in manufacturing (INCOM 09). Moscow, Russia, pp 850–855
Scholz-Reiter B, Görges M, Jagalski T, Naujok L (2010a) Modelling and analysis of an autonomous control method based on bacterial chemotaxis. In: 43rd CIRP international conference on manufacturing systems 2010 (ICMS 2010). Neuer Wissenschaftlicher Verlag, Wien, 2010, pp 699–706
Scholz-Reiter B, Rekersbrink H, Görges M (2010b) Dynamic flexible flow shop problems – scheduling heuristics versus autonomous control. CIRP Ann Manufact Technol 59(1):465–468
SFB (2012) http://www.sfb637.uni-bremen.de/uploads/pics/folie_3.jpg
Wiendahl H-P, Lutz S (2002) Production in networks. Ann CIRP Manufact Technol 51(2):1–14
Windt K, Becker T (2009) Applying autonomous control methods in different logistic processes-a comparison by using an autonomous control application matrix. In: Proceedings of the 17th mediterranean conference on control and automation. Thessaloniki, Greece
Windt K, Hülsmann M (2007) Changing paradigms in logistics – understanding the shift from conventional control to autonomous cooperation and control. In: Hülsmann M, Windt K (eds) Understanding autonomous cooperation and control – the impact of autonomy on management, information, communication, and material flow. Springer, Berlin, pp 4–16
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 CIRP
About this entry
Cite this entry
Scholz-Reiter, B. (2014). Autonomous Production Control. In: Laperrière, L., Reinhart, G. (eds) CIRP Encyclopedia of Production Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20617-7_6390
Download citation
DOI: https://doi.org/10.1007/978-3-642-20617-7_6390
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20616-0
Online ISBN: 978-3-642-20617-7
eBook Packages: EngineeringReference Module Computer Science and Engineering