Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Supply Chain Collaboration Degree of Manufacturing Enterprises Using Matter-Element Method

  • Xiao, Qiang (School of Economics and management, Lanzhou Jiao tong University) ;
  • Yao, Shuangshuang (Business School of Tianjin University of Finance and Economics) ;
  • Qiang, Mengjun (School of Economics and management, Lanzhou Jiao tong University)
  • Received : 2020.12.08
  • Accepted : 2021.03.05
  • Published : 2021.10.31
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Abstract

Evaluation of the collaboration of the upstream and downstream enterprises in the manufacturing supply chain is important to improve their synergistic effect. From the supply chain perspective, this study establishes the evaluation model of the manufacturing enterprise collaboration on the basis of fuzzy entropy according to synergistic theory. Downstream enterprises carry out coordinated capital, business, and information flows as subsystems and research enterprises as composite systems. From the three subsystems, the collaboration evaluation index is selected as the order parameter. The compound fuzzy matter-element matrix is established by using its improved algorithm. Subordinate membership and standard deviation fuzzy matter-element matrixes are constructed. Index weight is determined using the entropy weight method. The closeness of each matter element is then calculated. Through a representative of the home appliance industry, namely, Gree Electric Appliances Inc. of Zhuhai, empirical analysis of data in 2011-2017 from the company and its upstream and downstream enterprise collaboration shows a good trend, but the coordinated development has not reached stability. Gree Electric Appliances Inc. of Zhuhai need to strengthen the synergy with upstream and downstream enterprises in terms of cash, business, and information flows to enhance competitiveness. Experimental results show that this method can provide precise suggestions for enterprises, improve the degree of collaboration, and accelerate the development and upgrading of the manufacturing industry.

Keywords

Acknowledgement

This paper are supported by the National Natural Science Foundation of China (No. 52062026) and Educational Commission of Gansu Province of China (No. 2019A-041) and Double-First Class Major Research Programs, Educational Department of Gansu Province (No. GSSYLXM-04).

References

  1. R. R. Lummus, R. J. Vokurka, and K. L. Alber, "Strategic supply chain planning," Production and Inventory Management Journal, vol. 39, no. 3, pp. 49-58, 1998.
  2. F. A. G. La Forme, V. B. Genoulaz, and J. P. Campagne, "A framework to analyse collaborative performance," Computers in Industry, vol. 58, no. 7, pp. 687-697, 2007. https://doi.org/10.1016/j.compind.2007.05.007
  3. M. Arns, M. Fischer, P. Kemper, and C. Tepper, "Supply chain modelling and its analytical evaluation," Journal of the Operational Research Society, vol. 53, no. 8, pp. 885-894, 2002. https://doi.org/10.1057/palgrave.jors.2601381
  4. C. H. Chiu, T. M. Choi, G. Hao, and X. Li, "Innovative menu of contracts for coordinating a supply chain with multiple mean-variance retailers," European Journal of Operational Research, vol. 246, no. 3, pp. 815-826, 2015. https://doi.org/10.1016/j.ejor.2015.05.035
  5. D. Pyke, J. Farley, and D. Robb, "Manufacturing technology and operations in China: a survey of state-owned enterprises, private firms, joint ventures and wholly-owned foreign subsidiaries," European Management Journal, vol. 20, no. 4, pp. 356-375, 2002. https://doi.org/10.1016/S0263-2373(02)00054-3
  6. A. David and E. Adida, "Competition and coordination in a two-channel supply chain," Production and Operations Management, vol. 24, no. 8, pp. 1358-1370, 2015. https://doi.org/10.1111/poms.12327
  7. M. Cao, M. A. Vonderembse, Q. Zhang, and T. S. Ragu-Nathan, "Supply chain collaboration: conceptualisation and instrument development," International Journal of Production Research, vol. 48, no. 22, pp. 6613-6635, 2010. https://doi.org/10.1080/00207540903349039
  8. J. Liu, B. Mantin, and H. Wang, "Supply chain coordination with customer returns and refund-dependent demand," International Journal of Production Economics, vol. 148, pp. 81-89, 2014. https://doi.org/10.1016/j.ijpe.2013.11.009
  9. R. Ruiz-Benitez and A. Muriel, "Consumer returns in a decentralized supply chain," International Journal of Production Economics, vol. 147, pp. 573-592, 2014. https://doi.org/10.1016/j.ijpe.2013.05.010
  10. M. Raweewan and W. G. Ferrell, "Information sharing in supply chain collaboration," Computers & Industrial Engineering, vol. 126, pp. 269-281, 2018. https://doi.org/10.1016/j.cie.2018.09.042
  11. Q. Zhang and M. Cao, "Exploring antecedents of supply chain collaboration: effects of culture and interorganizational system appropriation," International Journal of Production Economics, vol. 195, pp. 146-157, 2018. https://doi.org/10.1016/j.ijpe.2017.10.014
  12. L. Wu and M. L. Chiu, "Examining supply chain collaboration with determinants and performance impact: social capital, justice, and technology use perspectives," International Journal of Information Management, vol. 39, pp. 5-19, 2018. https://doi.org/10.1016/j.ijinfomgt.2017.11.004
  13. F. Costantino, G. Di Gravio, A. Shaban, and M. Tronci, "A real-time SPC inventory replenishment system to improve supply chain performances," Expert Systems with Applications, vol. 42, no. 3, pp. 1665-1683, 2015. https://doi.org/10.1016/j.eswa.2014.09.028
  14. L. Wu, C. H. Chuang, and C. H. Hsu, "Information sharing and collaborative behaviors in enabling supply chain performance: a social exchange perspective," International Journal of Production Economics, vol. 148, pp. 122-132, 2014. https://doi.org/10.1016/j.ijpe.2013.09.016
  15. S. Narayanan, R. Narasimhan, and T. Schoenherr, "Assessing the contingent effects of collaboration on agility performance in buyer-supplier relationships," Journal of Operations Management, vol. 33, pp. 140-154, 2015. https://doi.org/10.1016/j.jom.2014.11.004
  16. B. M. Beamon, "Measuring supply chain performance," International Journal of Operations & Production Management, vol. 19, no. 3, pp. 275-292, 1999. https://doi.org/10.1108/01443579910249714
  17. S. H. Goh and S. Eldridge, "Sales and operations planning: the effect of coordination mechanisms on supply chain performance," International Journal of Production Economics, vol. 214, pp. 80-94, 2019. https://doi.org/10.1016/j.ijpe.2019.03.027
  18. S. Alaei and M. Setak, "Multi objective coordination of a supply chain with routing and service level consideration," International Journal of Production Economics, vol. 167, pp. 271-281, 2015. https://doi.org/10.1016/j.ijpe.2015.06.002
  19. J. Cai, M. Zhong, J. Shang, and W. Huang, "Coordinating VMI supply chain under yield uncertainty: option contract, subsidy contract, and replenishment tactic," International Journal of Production Economics, vol. 185, pp. 196-210, 2017. https://doi.org/10.1016/j.ijpe.2016.12.032
  20. H. Li, T. You, and X. Luo, "Collaborative supply chain planning under dynamic lot sizing costs with capacity decision," Journal of Systems Engineering and Electronics, vol. 22, no. 2, pp. 247-256, 2011. https://doi.org/10.3969/j.issn.1004-4132.2011.02.010
  21. L. E. Cardenas-Barron and S. S. Sana, "A production-inventory model for a two-echelon supply chain when demand is dependent on sales teams' initiatives," International Journal of Production Economics, vol. 155, pp. 249-258, 2014. https://doi.org/10.1016/j.ijpe.2014.03.007
  22. Q. Lin, X. Su, and Y. Peng, "Supply chain coordination in confirming warehouse financing," Computers & Industrial Engineering, vol. 118, pp. 104-111, 2018. https://doi.org/10.1016/j.cie.2018.02.029
  23. Y. Lan, Y. Li, and F. Papier, "Competition and coordination in a three-tier supply chain with differentiated channels," European Journal of Operational Research, vol. 269, no. 3, pp. 870-882, 2018. https://doi.org/10.1016/j.ejor.2018.02.032
  24. S. I. Jung and S. H. Song, "Matching supply with demand in agricultural products supply chain-focused on information sharing in agricultural market transaction system," Korean Journal of Food Marketing Economics, vol. 29, no. 2, pp. 19-40, 2012.
  25. H. I. Ansoff, Corporate Strategy an Analytic Approach to Business Policy for Growth and Expansion. New York, NY: McGraw-Hill, 1965.
  26. H. Haken, Synergetics. Berlin, Germany: Springer-Verlag, 1977.
  27. S. M. Haghighi, S. A. Torabi, and R. Ghasemi, "An integrated approach for performance evaluation in sustainable supply chain networks (with a case study)," Journal of Cleaner Production, vol. 137, pp. 579-597, 2016. https://doi.org/10.1016/j.jclepro.2016.07.119
  28. J. Cai, X. Hu, Y. Han, H. Cheng, and W. Huang, "Supply chain coordination with an option contract under vendor-managed inventory," International Transactions in Operational Research, vol. 23, no. 6, pp. 1163-1183, 2016. https://doi.org/10.1111/itor.12172
  29. Q. Xiao, R. He, and J. Yu, "Evaluation of taxi carpooling feasibility in different urban areas through the K-means matter-element analysis method," Technology in Society, vol. 53, pp. 135-143, 2018. https://doi.org/10.1016/j.techsoc.2018.01.008
  30. Q. Zhang and M. Cao, "Exploring antecedents of supply chain collaboration: effects of culture and interorganizational system appropriation," International Journal of Production Economics, vol. 195, pp. 146-157, 2018. https://doi.org/10.1016/j.ijpe.2017.10.014
  31. M. Hofmann, S. Munster, and J. R. Noennig, "A theoretical framework for the evaluation of massive digital participation systems in urban planning," Journal of Geovisualization and Spatial Analysis, vol. 4, article no. 3, 2020. https://doi.org/10.1007/s41651-019-0040-3
  32. L. Li, G. Xu, and H. Wang, "Supplier evaluation in green supply chain: an adaptive weight DS theory model based on fuzzy-rough-sets-AHP method," Journal of Information Processing Systems, vol. 15, no. 3, pp. 655-669, 2019. https://doi.org/10.3745/JIPS.04.0118