Abstract
Focusing on the future emergency logistics support needs, this paper studies the evolution trend and application focus of system engineering methods and intelligent technologies in the field of emergency logistics, analyzes the application of various system engineering methods and key technologies in logistics modeling, simulation, analysis, prediction, evaluation, decision-making, management, control and planning design. Using intelligent system engineering methods to achieve accurate prediction, optimal planning, rapid decision-making, independent management and real-time control of emergency logistics, the utilization efficiency of emergency logistics resources is improved, and material security effectiveness is fully utilized. It provides systematic engineering basis and technical solutions for the realization of the leapfrog development of emergency logistics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barceló, J., Grzybowska, H., Pardo, S.: Vehicle routing and scheduling models, simulation and city logistics. Dynamic Fleet Management, pp. 163–195. Springer, Boston, MA (2007)
Cyber-physical system (CPS) program solicitation. National Science Foundation of the United States. http://www.nsf.gov/pubs/2010/nsf10515/nsf10515.html (2010)
Gattuso, D., Cassone, G.C., Pellicano, D.S.: A micro-simulation model for an intelligent logistics platform: specification and calibration results. Supply Chain Forum Int. J. 15(4), 52–69 (2014)
Kovalský, M., Mičieta, B.: Support planning and optimization of intelligent logistics systems. Proc. Eng. 192, 451–456 (2017)
Min, Hokey: Artificial intelligence in supply chain management: theory and applications. Int. J. Log. Res. Appl. 13(1), 13–39 (2010). https://doi.org/10.1080/13675560902736537
Oliveira, Rodrigo R., et al.: An intelligent model for logistics management based on geofencing algorithms and RFID technology. Exp. Syst. Appl. 42(15–16), 6082–6097 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wu, L., Xu, D. (2021). Research on Method and Technology of Emergency Logistics Intelligent System Engineering. In: Kountchev, R., Mahanti, A., Chong, S., Patnaik, S., Favorskaya, M. (eds) Advances in Wireless Communications and Applications. Smart Innovation, Systems and Technologies, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-15-5697-5_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-5697-5_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5696-8
Online ISBN: 978-981-15-5697-5
eBook Packages: EngineeringEngineering (R0)