Self-healing Supply Networks: A Complex Adaptive Systems Perspective

Part of the Lecture Notes in Logistics book series (LNLO)

Abstract

This paper aims for a logical deductive literature-based generation of hypotheses regarding the robustness of complex adaptive logistics systems (CALS) based on self-healing processes. Therefore, the increasing necessity for supply networks to gain and maintain robustness in order to ensure a high reliability of their logistics services is shown. Additionally, the concept of CALS is presented in order to deduce the outcomes that result from a technology-based increase of the CALS characteristics. Finally, a set of hypotheses is developed that link the outcomes of CALS with the evolvement of self-healing processes in supply networks in order to deduce implications for their robustness. Hence, a starting point for further empirical and simulation-based research is presented, on which basis an operationalization of the outcomes of CALS and their self-healing abilities can be conducted.

Keywords

Supply Chain Supply Chain Management Logistics System Supply Network Complex Adaptive System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department Systems ManagementJacobs University BremenBremenGermany
  2. 2.Systems Management, International Logistics – School of Engineering and ScienceJacobs University BremenBremenGermany

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