Abstract
Resilience research and practice require encompassing principles, which will enable the convergence of concepts and approaches across disciplines. Furthermore, sustainable resilience requires design and operation methodologies which acknowledge that supply network participants are fault-prone; they can, and will, fail at some point in time. Supply networks must be capable of maintaining operations despite these failures, with minimal protection from under-utilized resources. Acknowledging the above facts, this book introduces a discussion on central resilience concepts and presents a novel approach to designing and operating resilient supply networks based on teaming. The conceptual discussion of the initial chapters distills key fundamentals from seemingly dissimilar disciplines in supply network research and provides the foundation for future resilience research. The latter chapters of this book present a comprehensive framework, Resilience by Teaming, developed based on the notion that a team of weaker agents can outperform a single flawless agent, under the right conditions. Combined, fundamentals and framework have the power to shape future complex supply networks to provide higher service levels with minimal disruption by enabling smart collaboration among fault-prone agents.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47–97. doi:10.1103/RevModPhys.74.47
Albert, R., Jeong, H., & Barabási, A.-L. (2000). Error and attack tolerance of complex networks. Nature, 406(6794), 378–382. doi:10.1038/35019019
Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512. doi:10.1126/science.286.5439.509
Brede, M., & de Vries, B. J. M. (2009). Networks that optimize a trade-off between efficiency and dynamical resilience. Physics Letters A, 373(43), 3910–3914. doi:10.1016/j.physleta.2009.08.049
Nof, S. Y. (2003). Design of effective e-Work: Review of models, tools, and emerging challenges. Production Planning & Control, 14(8), 681–703. doi:10.1080/09537280310001647832
Nof, S. Y. (2007). Collaborative control theory for e-Work, e-Production, and e-Service. Annual Reviews in Control, 31(2), 281–292. doi:10.1016/j.arcontrol.2007.08.002
Tangmunarunkit, H., Govindan, R., Jamin, S., Shenker, S., & Willinger, W. (2002). Network topology generators: Degree-based vs. structural. ACM SIGCOMM Computer Communication Review, 32(4), 147–159.
Thadakamalla, H. P., Raghavan, U. N., Kumara, S., & Albert, A. (2004). Survivability of multiagent-based supply networks: A topological perspective. IEEE Intelligent Systems, 19(5), 24–31. doi:10.1109/MIS.2004.49
Velásquez, J. D., & Nof, S. Y. (2009). Collaborative e-Work, e-Business, and e-Service. In S. Y. Nof (Ed.), Springer handbook of automation. Springer: Berlin, pp. 1549–1576. doi:10.1007/978-3-540-78831-7_88
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Reyes Levalle, R. (2018). Introduction. In: Resilience by Teaming in Supply Chains and Networks. Automation, Collaboration, & E-Services, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-58323-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-58323-5_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-58321-1
Online ISBN: 978-3-319-58323-5
eBook Packages: EngineeringEngineering (R0)