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How to facilitate collaborative development between the enterprise and the environment under the dual constraints of resources and the environment is the focus of today's green supply chain management system research. Through the performance evaluation of the green supply chain, we can understand the operation of the whole supply chain and its shortcomings, provide a basis for improving related processes, and have important practical significance for improving the competitiveness and protection of its products. First of all, by summarising and analysing the research status of sustainable supply chain management in different countries, the research idea and overall background of this paper are proposed. It discusses the theory of sustainable supply chain management and the performance evaluation system and calculation types of sustainable supply chain management. Finally, the relative weight of each index is determined based on the sustainability calculation method, and then the decentralisation degree of the index is constructed. During this period, the fuzzy comprehensive evaluation method is used to evaluate the performance of sustainable supply chain, conduct case analysis and summary, and evaluate the performance of green supply chain component in economic, social, environmental and other aspects. In this paper, representative companies are selected as examples to evaluate their green supply chain management performance, and the evaluation algorithm is studied based on sustainable calculation method. The results show that a reasonable and effective evaluation of the enterprise performance of green supply chain management and a sustainable algorithm study can effectively identify potential problems in the operation of the company and improve the overall operation of the company at this stage.
Czasopismo
Rocznik
Tom
Strony
499--512
Opis fizyczny
Bibliogr. 22 poz., tab., wykr.
Twórcy
autor
- Department of Finance, Nanchong Vocational and Technical College, Nanchong 637131, Sichuan, China
Bibliografia
- [1] Kitouni I, Benmerzoug D, Lezzar F. Smart agricultural enterprise system based on integration of internet of things and agent technology. J Organizational End User Computing. 2018;30(4):64-82. DOI: 10.4018/JOEUC.2018100105.
- [2] Hong Y, Huang H, Dai S. An in vivo study of the best light emitting diode (LED) systems for cut chrysanthemums. Open Life Sciences. 2015;10(1):310-21. DOI: 10.1515/biol-2015-0031.
- [3] Tsai SB, Chien MF, Xue Y, Li L, Jiang XD, Chen, Q, et al. Using the fuzzy DEMATEL to determine environmental performance: a case of printed circuit board industry in Taiwan. PLOS ONE. 2015;10(6):e0129153. DOI: 10.1371/journal.pone.0129153.
- [4] Reddy MR, Srinivasa KG, Reddy BE. Smart vehicular system based on the internet of things. J Organizational End User Computing. 2018;30(3):45-62. DOI: 10.4018/JOEUC.2018070103.
- [5] Sivarajah U, Weerakkody V, Waller P, Lee H, Irani Z, Choi Y, et al. The role of e-participation and open data in evidence-based policy decision making in local government. J Organizational Computing Electronic Commerce. 2016;26(1):64-79. DOI: 10.1080/10919392.2015.1125171.
- [6] Mondal HK, Gade SH, Kishore R, Deb S. P 2 NoC: power-and performance-aware NoC Architectures for sustainable computing. Sust Computing: Informatics Systems. 2017;16(5):25-37. DOI: 10.1016/j.suscom.2017.08.005.
- [7] Adelina W, Kusumastuti RD. Green supply chain management strategy selection using analytic network process: case study at pt xyz. IOP Conf Series: Materials Sci Eng. 2017;166(1):012-26. DOI: 10.1088/1757-899X/166/1/012026.
- [8] Kim H. Investigating the mediating role of social networking service usage on the big five personality traits and on the job satisfaction of Korean workers. J Organizational End User Computing. 2019;31(1):110-23. DOI: 10.4018/JOEUC.2019010106.
- [9] Tsai SB, Wei YM, Chen KY. Evaluating green suppliers from green environmental perspective. Environ Planning B: Planning Design. 2016;43(5):941-59. DOI: 10.1177/0265813515600897.
- [10] Bai C, Sarkis J. Evaluating complex decision and predictive environments: the case of green supply chain flexibility. Technol Economic Development Economy. 2018;24(4):1630-58. DOI: 10.3846/20294913.2018.1483977.
- [11] Hu S, Yu B, Yu H. IEEE Transactions on Sustainable Computing: Guest Editorial on Special Issue on Sustainable Cyber-Physical Systems. IEEE Trans Sust Computing. 2018;3(2):58-9. DOI: 10.1109/TSUSC.2017.2770318.
- [12] Tsai SB, Wang K. Using a novel method to evaluate the performance of human resources in green Logistics enterprises. Ecol Chem Eng S. 2019;26(4):629-40. DOI: 10.1515/eces-2019-0045.
- [13] Chen YX, Li L, Yu J, Tsai SB, Wang JT. An empirical study on environmental efficiency measurements and influencing factors. Ecol Chem Eng S. 2020;27(4):543-53. DOI: 10.2478/eces-2020-0033.
- [14] Mahalakshmi GS, Muthuselvi G, Sendhilkumar S, Vijayakumar P, Zhu Y, Chang V, et al. Sustainable computing based deep learning framework for writing research manuscripts. IEEE Trans Sust Computing. 2018;4(1):4-16. DOI: 10.1109/TSUSC.2018.2829196.
- [15] Sołowski G, Konkol I, Cenian A. Perspectives of hydrogen production from corn wastes in Poland by means of dark fermentation. Ecol Chem Eng S. 2019;26(2):255-63. DOI: 10.1515/eces-2019-0031.
- [16] Dauwe D, Jhaveri R, Pasricha S, Maciejewski AA, Siegel HJ. Optimizing checkpoint intervals for reduced energy use in exascale systems. 2017 Eighth International Green and Sustainable Computing Conference (IGSC), Orlando, FL, USA. 2017;1:1-8. DOI: 10.1109/IGCC.2017.8323598.
- [17] Rauber T, Runger G, Stachowski M. Model-based optimization of the energy efficiency of multi-threaded applications. 2017 Eighth International Green and Sustainable Computing Conference (IGSC), Orlando, FL, USA. 2017;1:1-6. DOI: 10.1109/IGCC.2017.8323578.
- [18] Ghosh SK. Impact of implementation of green supply chain management practice in production industry: a review. Int J Res Appl Sci Eng Technol. 2017;10:1622-9. DOI: 10.22214/ijraset.2017.8230.
- [19] Zampese E, Moori RG, Caldeira A. Green marketing as a mediator between supply chain management and organizational performance. RAM. Revista de Administração Mackenzie 2016;17(3):183-211. DOI: 10.1590/1678-69712016/administracao.v17n3p183-211.
- [20] Marszałek M, Kowalski Z, Makara A. The possibility of contamination of water-soil environment as a result of the use of pig slurry. Ecol Chem Eng S. 2019;26(2):313-30. DOI: 10.1515/eces-2019-0022.
- [21] Prakash C, Barua MK. Integration of AHP-TOPSIS method for prioritizing the solutions of reverse Logistics adoption to overcome its barriers under fuzzy environment. J Manufacturing Systems. 2015;37(3):599-615. DOI: 10.1016/j.jmsy.2015.03.001.
- [22] Fabisiak L. Web service usability analysis based on user preferences. J Organizational End User Computing. 2018;30(4):1-13. DOI: 10.4018/JOEUC.2018100101.
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Bibliografia
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