WSEAS Transactions on Systems


Print ISSN: 1109-2777
E-ISSN: 2224-2678

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 16, 2017



An Empirical Study of Developing A Dynamic Performance Evaluation System of Green Supply Chain in The Distribution Service Industry from Perspective of International Logistics

AUTHORS: Chih-Hung Hsu, Kuo-Jen Hu, Ting-Yi Chang, Chang Ke

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ABSTRACT: In studies on green supply chain, performance evaluation is an extremely important field. It aims to allow the nodes in supply chain to realize their positions and influence on benefit in overall supply chain in order enhance the supply chain. Thus, implementation of effective performance evaluation is the key to enhance green supply chain development. Distribution service industry is the important service pattern. Logistics of distribution service industry is also the rear service of transportation and storage among manufacturing industry, wholesale industry and retail industry and it is critical for customer satisfaction and reduction of distribution cost. Past researches on green supply chain mostly focus on manufacturing industry and there is no green supply chain study in distribution service industry. Therefore, this study will treat international logistics in distribution service industry as the theme to find how to develop dynamic performance evaluation system of green supply chain in distribution service industry. This study constructs dynamic performance evaluation system of green supply chain into dynamic green Balanced Scorecard, Fuzzy analytical hierarchy process, Fuzzy synthetic decision approach and Grey prediction. Performance evaluation system is constantly modified by PDSA cycle. This evaluation system of green supply chain is simple, cheap, precise, effective and dynamic; moreover, it also helps international logistics firms rapidly make decision regarding resource distribution of supply chain.

KEYWORDS: International logistics, Green supply chain, Dynamic performance evaluation system, Dynamic green Balanced Scorecard

REFERENCES:

[1] C. J. Lai, C. H. Hsu, F. O. Yang, A Hybrid Mining and Predicting System Based on Quadratic Exponential Smoothing Model and Grey Relational Analysis for Green Supply Chain. WSEAS Transactions on Systems, Issue 8, 2012, pp.336-348.

[2] C. J. Lai, C. H. Hsu, H. M. Kuo, An Empirical Study of Constructing a Dynamic Mining and Forecasting System for the Life Cycle Assessment-based Green Supply Chain. WSEAS Transactions on Systems, Issue 4, 2012, pp.129-139.

[3] Deming, W. E., Out of the Crisis, MIT Press. Cambridge, MA, 1986.

[4] Deming, W. E., The New Economics, MIT Press. Cambridge, MA, 1993.

[5] J. Harrington, Business process improvement: The breakthrough strategy for total quality, Productivity and Competitiveness, 1991, pp.82-87.

[6] J. J. Buckley, R. Csutora, Fuzzy hierarchical analysis: the lambda-max method, Fuzzy Sets and Systems, Issue 120, 2001, pp.181-195.

[7] J. Y. Chiang, C. K. Chen, Application of grey prediction to inverse nonlinear heat conduction problem, International Journal of Heat Mass Transfer, Issue 51, 2008, pp.576- 585.

[8] J. S. Park, D. S. Chang, A study on the difference of supply chain performance from the fitness between competitive priorities and supplier selection criteria, Asian Journal on Quality, Issue 11, 2010, pp.183-189.

[9] Moen, R. and T. Nolan, Process improvement, Quality Progress, 65, 1987.

[10] S. J. Chen, C. L. Huang, Fuzzy multiple attribute decision making methods and applications, Springer-Verlag, 2002.

[11] Y. Zhang, Y. Xu, Z. Wang, GM(1,1) grey prediction of Lorenz chaotic system, Chaos, Solitons and Fractals, Issue 42, 2009, pp.1003-1009.

[12] Y. F. Jiao, T. K. Zhao, Business choice-green supply chain management, Journal of Environmental Protection, Issue 6, 2002, pp.23-25.

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 16, 2017, Art. #18, pp. 149-158


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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