Decision making in logistics: A chaos theory based analysis

S. R.T. Kumara; P. Ranjan; A. Surana; V. Narayanan

doi:10.1016/S0007-8506(07)60606-4

Decision making in logistics: A chaos theory based analysis

S. R.T. Kumara, P. Ranjan, A. Surana, V. Narayanan

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

Logistics in general is a complex system. In this paper we investigate the existence of chaos in logistics systems. Such an investigation is necessary to use appropriate and correct methods for further analysis, as linear systems techniques will not be useful. If a system exhibits chaos, decision-making should consider the system characterization parameters from a chaos theory perspective. In this paper, we consider a non-preemptive queuing model and its extensions to the logistics domain. A prototypical supply chain example is used and the resulting behavior is characterized. At certain input values the behavior of the logistics system exhibits chaos. This information is useful for further analysis for prediction and control. The working prototype is implemented in the DARPA Couggar agent architecture.

Original language	English (US)
Pages (from-to)	381-384
Number of pages	4
Journal	CIRP Annals - Manufacturing Technology
Volume	52
Issue number	1
DOIs	https://doi.org/10.1016/S0007-8506(07)60606-4
State	Published - 2003

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1016/S0007-8506(07)60606-4

Cite this

@article{d351ddf02f6e4524a0b57c2bc149b5e8,

title = "Decision making in logistics: A chaos theory based analysis",

abstract = "Logistics in general is a complex system. In this paper we investigate the existence of chaos in logistics systems. Such an investigation is necessary to use appropriate and correct methods for further analysis, as linear systems techniques will not be useful. If a system exhibits chaos, decision-making should consider the system characterization parameters from a chaos theory perspective. In this paper, we consider a non-preemptive queuing model and its extensions to the logistics domain. A prototypical supply chain example is used and the resulting behavior is characterized. At certain input values the behavior of the logistics system exhibits chaos. This information is useful for further analysis for prediction and control. The working prototype is implemented in the DARPA Couggar agent architecture.",

author = "Kumara, {S. R.T.} and P. Ranjan and A. Surana and V. Narayanan",

year = "2003",

doi = "10.1016/S0007-8506(07)60606-4",

language = "English (US)",

volume = "52",

pages = "381--384",

journal = "CIRP Annals - Manufacturing Technology",

issn = "0007-8506",

publisher = "Elsevier USA",

number = "1",

}

TY - JOUR

T1 - Decision making in logistics

T2 - A chaos theory based analysis

AU - Kumara, S. R.T.

AU - Ranjan, P.

AU - Surana, A.

AU - Narayanan, V.

PY - 2003

Y1 - 2003

N2 - Logistics in general is a complex system. In this paper we investigate the existence of chaos in logistics systems. Such an investigation is necessary to use appropriate and correct methods for further analysis, as linear systems techniques will not be useful. If a system exhibits chaos, decision-making should consider the system characterization parameters from a chaos theory perspective. In this paper, we consider a non-preemptive queuing model and its extensions to the logistics domain. A prototypical supply chain example is used and the resulting behavior is characterized. At certain input values the behavior of the logistics system exhibits chaos. This information is useful for further analysis for prediction and control. The working prototype is implemented in the DARPA Couggar agent architecture.

AB - Logistics in general is a complex system. In this paper we investigate the existence of chaos in logistics systems. Such an investigation is necessary to use appropriate and correct methods for further analysis, as linear systems techniques will not be useful. If a system exhibits chaos, decision-making should consider the system characterization parameters from a chaos theory perspective. In this paper, we consider a non-preemptive queuing model and its extensions to the logistics domain. A prototypical supply chain example is used and the resulting behavior is characterized. At certain input values the behavior of the logistics system exhibits chaos. This information is useful for further analysis for prediction and control. The working prototype is implemented in the DARPA Couggar agent architecture.

UR - http://www.scopus.com/inward/record.url?scp=0041341877&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0041341877&partnerID=8YFLogxK

U2 - 10.1016/S0007-8506(07)60606-4

DO - 10.1016/S0007-8506(07)60606-4

M3 - Article

AN - SCOPUS:0041341877

SN - 0007-8506

VL - 52

SP - 381

EP - 384

JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

IS - 1

ER -

Decision making in logistics: A chaos theory based analysis

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this