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Toward adaptive logistics management

Nilsson, Fredrik LU (2005) 38th Hawaii International Conference on System Sciences In Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005. HICSS '05.
Abstract
The aim of this paper is to discuss the implications of a complex adaptive systems approach to the management of logistics operations. The research is a result of the need for managers of logistics operation to be able to adapt to the ever-changing demands of their environment and customer demands. The identified emphasis of mechanistic assumptions in traditional modeling of logistics is discussed and it is suggested that a change towards adaptive models and tools is needed. This means that the models have to be able to consider more complex behavior such as self-organization and emergent phenomena. A complex adaptive system (CAS) approach is applied by the use of agent-based modeling (ABM). Two cases are provided in which the CAS approach... (More)
The aim of this paper is to discuss the implications of a complex adaptive systems approach to the management of logistics operations. The research is a result of the need for managers of logistics operation to be able to adapt to the ever-changing demands of their environment and customer demands. The identified emphasis of mechanistic assumptions in traditional modeling of logistics is discussed and it is suggested that a change towards adaptive models and tools is needed. This means that the models have to be able to consider more complex behavior such as self-organization and emergent phenomena. A complex adaptive system (CAS) approach is applied by the use of agent-based modeling (ABM). Two cases are provided in which the CAS approach has been applied through ABM simulations. It is concluded the CAS approach implemented by the use of ABM can provide valuable insights for both researchers and practitioners within the field of logistics management. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
packaging logistics, Complex adaptive system (CAS), Agent-based modeling (ABM), case-study, packaging company
in
Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005. HICSS '05.
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
38th Hawaii International Conference on System Sciences
external identifiers
  • Scopus:27544442373
language
English
LU publication?
yes
id
80a37925-fd63-4b08-af54-b27c77f37741 (old id 538898)
alternative location
http://ieeexplore.ieee.org/iel5/9518/30166/01385400.pdf
date added to LUP
2007-09-24 09:40:05
date last changed
2016-10-13 04:44:36
@misc{80a37925-fd63-4b08-af54-b27c77f37741,
  abstract     = {The aim of this paper is to discuss the implications of a complex adaptive systems approach to the management of logistics operations. The research is a result of the need for managers of logistics operation to be able to adapt to the ever-changing demands of their environment and customer demands. The identified emphasis of mechanistic assumptions in traditional modeling of logistics is discussed and it is suggested that a change towards adaptive models and tools is needed. This means that the models have to be able to consider more complex behavior such as self-organization and emergent phenomena. A complex adaptive system (CAS) approach is applied by the use of agent-based modeling (ABM). Two cases are provided in which the CAS approach has been applied through ABM simulations. It is concluded the CAS approach implemented by the use of ABM can provide valuable insights for both researchers and practitioners within the field of logistics management.},
  author       = {Nilsson, Fredrik},
  keyword      = {packaging logistics,Complex adaptive system (CAS),Agent-based modeling (ABM),case-study,packaging company},
  language     = {eng},
  publisher    = {ARRAY(0xb4a4638)},
  series       = {Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005. HICSS '05.},
  title        = {Toward adaptive logistics management},
  year         = {2005},
}