Optimization Strategy of Internal Value Chain of Coal Preparation Plant Based on Cost Control
- DOI
- 10.2991/iaw-sc.2013.23How to use a DOI?
- Keywords
- Cost control; value chain; analytic hierarchy process(ahp); fuzzy linear programming
- Abstract
Coal-separating is the most important procedure in the coal industry with the highest value-added rate.It will have vital significance to the coal industry tooptimize coal preparation plant’s value chain, control its cost and improve its efficiency.Based on this,this article first establishes the coal preparation plant’s internal value chain model using the quantitative analysis method;Then the author deduces comprehensive weights of each index in the model by the analytic hierarchy process (ahp);Nextthe article establishes a dynamic evaluation mathematical model of coal preparation plant’s e internal value chain combining with fuzzy linear programming and the time factor;At last the optimization model of coal preparation plant’s e internal value chain is calculated,which provide a quantitative and dynamic cost control strategy for coal preparation plant. Research shows that the quantitative analysis of enterprise internal value chain, provides managers with a quantitative analysis of the enterprise cost control from the perspective of value chain of the basis, and scientifically builds a fuzzy linear programming model, and achieves the overall interests of the value chain optimization.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jing-wen An AU - Xiu-ling Zhang PY - 2013/10 DA - 2013/10 TI - Optimization Strategy of Internal Value Chain of Coal Preparation Plant Based on Cost Control BT - Proceedings of the 2013 International Academic Workshop on Social Science PB - Atlantis Press SP - 107 EP - 113 SN - 1951-6851 UR - https://doi.org/10.2991/iaw-sc.2013.23 DO - 10.2991/iaw-sc.2013.23 ID - An2013/10 ER -