TY - JOUR

T1 - Biologistics and the struggle for efficiency

T2 - Concepts and perspectives

AU - Helbing, Dirk

AU - Deutsch, Andreas

AU - Diez, Stefan

AU - Peters, Karsten

AU - Kalaidzidis, Yannis

AU - Padberg-Gehle, Kathrin

AU - Lämmer, Stefan

AU - Johansson, Anders

AU - Breier, Georg

AU - Schulze, Frank

AU - Zerial, Marino

PY - 2009/12

Y1 - 2009/12

N2 - The growth of world population, limitation of resources, economic problems, and environmental issues force engineers to develop increasingly efficient solutions for logistic systems. Pure optimization for efficiency, however, has often led to technical solutions that are vulnerable to variations in supply and demand, and to perturbations. In contrast, nature already provides a large variety of efficient, flexible, and robust logistic solutions. Can we utilize biological principles to design systems, which can flexibly adapt to hardly predictable, fluctuating conditions? We propose a bio-inspired "BioLogistics" approach to deduce dynamic organization processes and principles of adaptive self-control from biological systems, and to transfer them to man-made logistics (including nanologistics), using principles of modularity, self-assembly, self-organization, and decentralized coordination. Conversely, logistic models can help revealing the logic of biological processes at the systems level.

AB - The growth of world population, limitation of resources, economic problems, and environmental issues force engineers to develop increasingly efficient solutions for logistic systems. Pure optimization for efficiency, however, has often led to technical solutions that are vulnerable to variations in supply and demand, and to perturbations. In contrast, nature already provides a large variety of efficient, flexible, and robust logistic solutions. Can we utilize biological principles to design systems, which can flexibly adapt to hardly predictable, fluctuating conditions? We propose a bio-inspired "BioLogistics" approach to deduce dynamic organization processes and principles of adaptive self-control from biological systems, and to transfer them to man-made logistics (including nanologistics), using principles of modularity, self-assembly, self-organization, and decentralized coordination. Conversely, logistic models can help revealing the logic of biological processes at the systems level.

KW - Bio-inspired solutions

KW - Logistics

KW - Modularity

KW - Robustness

KW - Self-control

KW - Transportation

KW - Didactics of Mathematics

UR - http://www.scopus.com/inward/record.url?scp=73949155431&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/75ddf403-5ad9-3967-a01d-ad0931663afb/

U2 - 10.1142/S0219525909002374

DO - 10.1142/S0219525909002374

M3 - Journal articles

AN - SCOPUS:73949155431

VL - 12

SP - 533

EP - 548

JO - Advances in Complex Systems

JF - Advances in Complex Systems

SN - 0219-5259

IS - 6

ER -