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Autonomous evolution of service system in cluster supply chain

Xiao Xue (School of Computer Science, Henan Polytechnic University, Jiaozuo, China)
Shufang Wang (School of Economics & Management, Henan Polytechnic University, Jiaozuo, China)
Hao Chao (School of Computer Science, Henan Polytechnic University, Jiaozuo, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 12 January 2015

Abstract

Purpose

The purpose of this paper is to provide strong theoretical and technical support for the dynamic evolution of service system in “Cluster Supply Chain”(CSC), which can deal with two kinds of context changes: the internal service component changes and the external customer requirement changes.

Design/methodology/approach

A “feedback-based” evolution mechanism of service system for CSC is proposed in this study. By means of the feedback update of enterprise service’s Quality of Service (QoS) attribute and the adjustment of the assumed QoS evaluation model, the evolution of service system can be achieved to suit the dynamic market demands.

Findings

Results of the study suggest: by means of the “feed-back” evolution mechanism of service system, the enterprises in CSC can handle the context changes effectively to maintain the optimized operation status.

Practical implications

The implementation of evolution mechanism in service system can keep the effectiveness of enterprise service composition to face the frequent service component changes and the unpredictable market turbulence.

Originality/value

This paper proposes a method to realize the autonomous evolution of service system in CSC, which can support the flexibility and adaptability of enterprise service composition in the changing environment.

Keywords

Acknowledgements

The work is supported by the National Natural Science Foundation of China (No. 61175066, No. 60905041, No. 61300124); Program for Science & Technology Innovation Talents in Universities of Henan Province (No. 2012HASTIT013); Foundation for The Excellent Youth Scholars of University of Henan Province (No. 2011GGJS-056); Program for Innovative Research Team of Henan Polytechnic University (No. T2013-3).

Citation

Xue, X., Wang, S. and Chao, H. (2015), "Autonomous evolution of service system in cluster supply chain", Kybernetes, Vol. 44 No. 1, pp. 139-158. https://doi.org/10.1108/K-01-2014-0005

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited