Sustainable performance measurement of Baijiu supply chain in China
DOI: 10.23977/infse.2020.010101 | Downloads: 3 | Views: 265
Xianglan Jiang 1,2, Yijun Chen 1, Shan Xiong 1
1 Management School, Sichuan University of Science & Engineering, Zigong, 643000, China
2 School of Economics and Management, University of Electronic Science and Technology of China, Chengdu, 611731, China
Corresponding AuthorXianglan Jiang
Sustainable supply chain management has received great concern academics’ and practitioners’ interest in recent years. Baijiu industry plays an important part in Chinese economy and has a great influence on people’s life. In this paper, sustainable index based on economic, environmental, and social are identified from supply chain perspective. A hybrid multi-criteria decision making framework is used to assess the index, and the method is applied to a case example at a Baijiu company in China. The case example finds that economic dimension was the most important aspect with environmental second and social third. The results also verify the effectiveness of the proposed framework. This paper develops an effective and systematic approach for decision makers to conduct evaluations and select optimal alternatives for Baijiu companies.
KEYWORDSBaijiu Industry, Supply Chain, Sustainability, Performance Assessment, Hybrid Method, Fuzzy Theory
CITE THIS PAPER
Xianglan Jiang, Yijun Chen, Shan Xiong. Sustainable performance measurement of Baijiu supply chain in China. Information Systems and Economics (2020) 1: 1-17. DOI: http://dx.doi.org/10.23977/infse.2020.010101.
 Brundtland, G. H. (1987). Report of the World Commission on environment and development:" our common future.". United Nations.
 Seuring, S. A review of modeling approaches for sustainable supply chain management. Decis. Support Syst. 2013, 54, 1513–1520.
 Elkington, J. Cannibals with Forks: The Triple Bottom Line of 21st Century; Capstone Publishing Ltd.: Oxford,UK, 1997.
 Seuring, S.; Müller, M. From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 2008, 16, 1699–1710.
 O’Rourke, D. The science of sustainable supply chains. Science 2014, 344, 1124–1127.
 Guo, H. C., Chen, B., Yu, X. L., Huang, G. H., Liu, L., & Nie, X. H. (2006). Assessment of cleaner production options for alcohol industry of China: a study in the Shouguang Alcohol Factory. Journal of Cleaner Production, 14(1), 94-103.
 X.-W. Zheng, Z. Yan, B.-Z.Han et al., “Complex microbiota of a Chinese ‘Fen’ liquor fermentation starter (Fen-Daqu), revealed by culture-dependent and culture-independent methods,” Food Microbiology, vol. 31, no. 2, pp. 293–300, 2012.
 Zhao, D., Shi, D., Sun, J., Li, A., Sun, B., Zhao, M., ... & Zheng, F. (2018). Characterization of key aroma compounds in Gujinggong Chinese Baijiu by gas chromatography–olfactometry, quantitative measurements, and sensory evaluation. Food Research International, 105, 616-627.
 Zha, M., Sun, B., Wu, Y., Yin, S., & Wang, C. (2018). Improving flavor metabolism of Saccharomyces cerevisiae by mixed culture with Wickerhamomyces anomalus for Chinese Baijiu making. Journal of bioscience and bioengineering.
 Yu Ling Huang, Wei Sun, Qing Qing Su. Environmental issues for the Chinese strong aromatic liquor industry: an assessment for the brewing system. Environmental Modeling & Assessment, 2014, 19(2): 153–165
 Dw Zeigler. The alcohol industry and trade agreements: a preliminary assessment. Addiction, 2009, 104(Supplement s1): 13–26
 Mardani, A., Jusoh, A., & Zavadskas, E. K. (2015). Fuzzy multiple criteria decision-making techniques and applications–Two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126-4148.
 Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
 Zimmermann, H. J. (2011). Fuzzy set theory—and its applications. Springer Science & Business Media.
 Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw.
 C.L. Hwang, K. Yoon, Multiple Attributes Decision Making Methods and Applications, Springer, Berlin Heidelberg, 1981.
 Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.