Abstract
The previous chapters of this book showed, in what way the idea of autonomous cooperation and control of logistics processes can contribute to the efficiency and robustness of logistics systems. This also includes critical discussions of limitations for the achievement of logistics goals.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chmielewicz K (1979) Forschungskonzeptionen der wirtschaftswissenschaft, 2nd edn. Poeschel, Stuttgart
Hongler M, Gallay O, Hülsmann M, Cordes P, Colmorn R (2010) Centralized versus decentralized control – a solvable stylized model in transportation. Phys A 389(19):4162–4171
Hülsmann M, Illigen C, Korsmeier B, Cordes P (2010) Risks resulting from autonomous cooperation technologies in logistics. In: Li Y, Desheng W (eds) Proceedings of the 2010 IEEE international conference on advanced management science, pp 422–426
Hülsmann M, Lang W, Colmorn R, Jedermann R, Illigen C, Cordes P (2010) Ecological impacts of autonomously co-operating technologies in international supply networks – establishing a model for analyzing CO2-effects of implementing intelligent containers in fruit logistics. In: Pawar KS, Lalwani CS (eds) Proceedings of the 15th international symposium on logistics: configuring next generation supply chains, pp 398–406
Jedermann R, Lang W (2008) The benefits of embedded intelligence – tasks and applications for ubiquitous computing in logistics. In: Floerkemeier C, Langheinrich M, Fleisch E, Mattern F, Sarma SE (eds) The internet of things – first international conference (IOT 2008) proceedings. Springer, Berlin, Heidelberg, New York, pp 105–122
Jedermann R, Lang W (2007) Semi-passive RFID and beyond: steps towards automated quality tracing in the food chain. Int J Radio Freq Ident Technol Appl 1(3):247–259
Jedermann R, Ruiz-Garcia L, Lang W (2009) Spatial temperature profiling by semi-passive RFID loggers for perishable food transportation. Comput Electron Agr 65(2):145–154
McKelvey B, Wycisk C, Hülsmann M (2009) Designing an electronic auction market for complex ‘smart parts’ logistics: options based on LeBaron’s computational stock market. Int J Prod Econ 120(2):476–494
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 & control – the impact of autonomy on management, information, communication, and material flow. Springer, pp 1–16
Wycisk C, McKelvey B, Hülsmann M (2008) “Smart parts” supply networks as complex adaptive systems: analysis and implications. Int J Phys Distrib Logist Manag 38(2):108–125
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hülsmann, M., Cordes, P., Schwientek, A. (2011). Considerations of Practical Contributions and Limitations of Autonomous Cooperation and Control in Logistics. In: Hülsmann, M., Scholz-Reiter, B., Windt, K. (eds) Autonomous Cooperation and Control in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19469-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-19469-6_19
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19468-9
Online ISBN: 978-3-642-19469-6
eBook Packages: EngineeringEngineering (R0)