Analytic Hierarchy Process-Based Evaluation Research on Coal Supply Chain Management Collaborative System

Jump To References Section

Authors

  • School of Computer Science and Technology, Huaibei Normal University, Huaibei 235000 ,CN

Keywords:

Analytic Hierarchy Process (AHP), Supply Chain Management (SCM), Collaborative System (CS), Dynamics Simulation Modelling.

Abstract

In the dynamic market environment of economic globalization, the supply chain management (SCM) in Chinese coal industry is faced with serious problems such as lowered overall efficiency and yield rate, while the “horizontal integration” management to strength the supply chain management has obtained obvious advantages in the competition. Based on AHP, this paper analyses the network structure and collaborative network operation of 9 coal supply chains (SC), build the index system of coal supply chain management collaborative system (SCMCS), and makes dynamics simulation study for coal SCMCS by adopting the Vensim software. The results show that the index system of coal SCMCS is composed of three collaborative indexes in terms of strategy, business process and customer service, where the business process index is the core of index system. Also, the dynamics simulation modelling has been made for the system, to obtain the general level of CS, rebuild the sub-system flow chart and then promote the degree of order for the sub-systems in the adjusted plan.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2022-10-21

How to Cite

Wen, B. (2022). Analytic Hierarchy Process-Based Evaluation Research on Coal Supply Chain Management Collaborative System. Journal of Mines, Metals and Fuels, 66(6), 305–310. Retrieved from http://informaticsjournals.com/index.php/jmmf/article/view/31712

Issue

Section

Articles

 

References

Borodin, V., Bourtembourg, J., Hnaien, F. and Labadie, N. (2016): “Handling uncertainty in agricultural supply chain management: a state of the art.” European Journal of Operational Research, 254(2), 348-359.

Wang, X., Wang, T., Wang, Q., Liu, X., Li, R. and Liu, B. J. (2016): “Evaluation of floor water inrush based on fractal theory and an improved analytic hierarchy process.” Mine Water & the Environment, 36(1), 87-95.

Lee, V. H., Ooi, K. B., Chong, Y. L. and Seow, C. (2014): “Creating technological innovation via green supply chain management: an empirical analysis.” Expert Systems with Applications An International Journal, 41(16), 6983-6994.

Ding, H., Guo, B. and Liu, Z. (2011): “Information sharing and profit allotment based on supply chain cooperation.” International Journal of Production Economics, 133(1), 70-79.

Zhang, X. Y., Huang, G. Q., Humphreys, P. K. V. (2010): “Simultaneous configuration of platform products and manufacturing supply chains: comparative investigation into impacts of different supply chain coordination schemes.” Production Planning & Control, 21(6), 609-627.

Khattab, S. A. A., Aburumman, A. H. and Massad, M. M. (2015): “The impact of the green supply chain management on environmental-based marketing performance.” Journal of Service Science & Management, 8(4), 588-597.

Ghadimi, S., Szidarovszky, F., Farahani, R. Z. and Khiabani, A. Y. (2013): “Coordination of advertising in supply chain management with cooperating manufacturer and retailers.” Ima Journal Management Mathematics, 24(1), 1-19.

Ding, Y. (2013): “Study of collaborative management of supply chain in an IT environment.” Journal of Industrial Engineering & Management, 6(4), 1082-1093.

Sun, C., Li, Q. Y., Lu, W., Liu, X. T., Liu, B. and Pei, X. X. (2017): “A general calculation model on the effect of main steam pressure variation on the coal consumption rate of steam turbines,” International Journal of Heat and Technology, 35(1), 219-224.

Wu, J. S., Fu, M., Tong, X. and Qin, Y. P. (2017): “Heat stress evaluation at the working face in hot coal mines using an improved thermophysiological model,” International Journal of Heat and Technology, 35(1), 67-74.

Subramanian, K., Rawlings, J. B., Maravelias, C. T., Flores-Cerrillo, J. and Megan, L. (2013): “Integration of control theory and scheduling methods for supply chain management.” Computers & Chemical Engineering, 51(14), 4-20.

Madani, S. R. and Rasti-Barzoki, M. (2017): “Sustainable supply chain management with pricing, greening and governmental tariffs determining strategies: a game-theoretic approach.” Computers & Industrial Engineering, 105, 287-298.

Xie, G. (2016): “Cooperative strategies for sustainability in a decentralized supply chain with competing suppliers.” Journal of Cleaner Production, 113, 807-821.

Yang, H. and Jing, Z. (2011): “The strategies of advancing the cooperation satisfaction among enterprises based on low carbon supply chain management.” Energy Procedia, 5(5), 1225-1229.

Wu, Q., Fan, S. K. and Liu, Z. (2013): “Application of the analytic hierarchy process to assessment of water inrush: a case study for the no. 17 coal seam in the Sanhejian coal mine, China.” Mine Water & the Environment, 32(3), 229-238.

Chi, M., Zhang, D., Fan, G., Zhang, W., Liu, H. and Chi, M. (2017): “Prediction of top-coal caving and drawing characteristics by the analytic hierarchy process-fuzzy discrimination method in extra-thick coal seams.” Journal of Intelligent & Fuzzy Systems, 33(4), 2533-2545.

Wei, R. G., Zhen, J. G. and Bao L. L. (2015): “Study on mining big users data in the development of Hubei auto-parts enterprise,” Mathematical Modelling of Engineering Problems, 2(4), 1-6.