2nd International ICST Conference on Autonomic Computing and Communication Systems

Research Article

Self-organized supply chain networks: Theory in practice and an analog simulation based approach

Download65 downloads
  • @INPROCEEDINGS{10.4108/ICST.AUTONOMICS2008.4672,
        author={K. R. Anne and S. K. Bhagavatula and J. C. Chedjou and K. Kyamakya},
        title={Self-organized supply chain networks: Theory in practice and an analog simulation based approach},
        proceedings={2nd International ICST Conference on Autonomic Computing and Communication Systems},
        publisher={ICST},
        proceedings_a={AUTONOMICS},
        year={2010},
        month={5},
        keywords={Self-organized supply chains Adaptive supply chains Supply chain optimization and Analog simulation},
        doi={10.4108/ICST.AUTONOMICS2008.4672}
    }
    
  • K. R. Anne
    S. K. Bhagavatula
    J. C. Chedjou
    K. Kyamakya
    Year: 2010
    Self-organized supply chain networks: Theory in practice and an analog simulation based approach
    AUTONOMICS
    ICST
    DOI: 10.4108/ICST.AUTONOMICS2008.4672
K. R. Anne1,*, S. K. Bhagavatula1,*, J. C. Chedjou1,*, K. Kyamakya1,*
  • 1: Institute for Smart Systems-Technologies, University of Klagenfurt 9020, Klagenfurt, Austria
*Contact email: rao.anne@uni-klu.ac.at, sreeram.kumar@uni-klu.ac.at, jean.chedjou@uni-klu.ac.at, kyandoghere.kyamakya@uni-klu.ac.at

Abstract

Global supply chain networks are undergoing a transition with mass customization policies, shrinking profit margins, non deterministic order behavior together with other uncertainties. Self-organized supply chain networks (SCN) are offering an alternative as they enjoy the flexibility needed to respond in real time. In this paper, we describe the pre-requisites for the self-organization of a SCN. This paper also proposes a nonlinear model for the SCN. A brief state of the art towards the self-organized supply chains is presented illustrating the theory that is in practice. It is shown that synchronization is a vital step towards the self-organization and different aspects of synchronization are discussed. The major contribution is towards the analog simulation of the supply chain model in consideration using the cellular neural networks (CNN). The performance comparison with the numerical simulation is also discussed. Today companies expect to use the modern information and communication technologies to achieve the efficient supply chain networks. In this work we are dealing with the depth and reliability of information available with these technologies coupled with the individual objectives of the companies and proposing an analog simulation based approach to provide solution in real time. Our findings concern future supply chain management practices, a new research directions.