Abstract
An improved Grey Relational Analysis (GRA) is used to quantitatively investigate the impact of Jiangxi Province regional economy on local logistics demand. The grey characteristics of data from regional economy and logistics is studied, which shows GRA is applicable; then a multi-sequence GRA is proposed, which generates total 4 groups of grey relational sequence from three indices of industrial added value and logistics demand based on GRA. Finally statement and explanation are given based on the Jiangxi Provincial industrial situation.
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References
Cao, W.-Q.: Logistics demand forecast for urban logistics planning. Master thesis of South China University of technology (2005)
Deng, J.: Control problems of grey systems. Systems and Control Letters 1, 288–294 (1982)
Williamson, O.E.: Economics and Organization: A Primer. California Management Review 38, 131–146 (1996)
Statistic bureau of Jiangxi, Jiangxi statistical yearbook 2009. China Statistics Press (2009)
Hibiki, N., Sueyoshi, T.: DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial development. Omega 27, 139–153 (1999)
Wu, H.H.: A comparative study of using grey relational analysis in multiple attribute decision making problems. Quality Engineering 15, 209–217 (2002-2003)
Deng, J.L.: Introduction to grey system theory. The Journal of Grey System 1(1), 1–24 (1989)
Yeh, Y.-L., Chen, T.-C.: Application of grey correlation analysis for evaluating the artificial lake site in Pingtung Plain, Taiwan, NRC Annual Report 2003-2004, 56–64 (2004)
Wen, K.L.: The cardinal form of grey relational grade. Journal of The Chinese Grey System Association 2(2), 117–133 (1999)
Wu, H.J., Chen, C.B.: An alternative form for grey relational grades. The Journal of Grey System 11(1), 7–12 (1999)
Lin, C.L.: Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics. Materials and Manufacturing Processes 19(2), 209–220 (2004)
Lin, Y.-H., Wang, J.-S., Pai, P.-F.: A Grey Prediction Model With Factor, Analysis Technique. Journal of the Chinese Institute of Industrial Engineers 21(6), 535–542 (2004)
Chen, W.-H.: A Grey-Based Approach For Distribution Network Reconfiguration. Journal of the Chinese Institute of Engineers 28(5), 795–802 (2005)
Chang, J.-C., Lu, H.-C.: Backing Up a Simulated Truck Via Grey Relational Analysis. Journal of the Chinese Institute of Engineers 24(6), 745–752 (2001)
Deng, J.L.: Introduction to Grey System Theory. The Journal of Grey System 1, 1–24 (1989)
Kuo, Y., Yang, T., Huang, G.-W.: The Use of Grey Relational Analysis in Solving Facilities Layout Design Problem. In: The 36th CIE Conference on Computers & Industrial Engineering, pp. 1101–1110 (2005)
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Cao, W., Zhu, H., Li, B. (2012). Impact of Regional Industries on Logistics Demand with Improved Grey Analysis. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27281-3_1
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DOI: https://doi.org/10.1007/978-3-642-27281-3_1
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