A MULTI-HIERARCHY GREY RELATIONAL ANALYSIS MODEL FOR NATURAL GAS PIPELINE OPERATION SCHEMES COMPREHENSIVE EVALUATION

Authors

  • Changjun Li
  • Wenlong Jia School of Petroleum Engineering, Southwest Petroleum University CNPC key laborotary of Oil and Gas Storage and Transportation,Southwest Petroleum University
  • Enbin Liu
  • Xia Wu

DOI:

https://doi.org/10.23055/ijietap.2012.19.6.631

Keywords:

Natural gas pipeline, Operation schemes, Analytic Hierarchy Process, Grey relational analysis, Comprehensive evaluation

Abstract

In the condition of satisfying process requirement, determining the optimum operation schemes of natural gas pipeline network is essential to improve the overall efficiency of network operation. According to the operation parameters of natural gas network, the multi-hierarchy comprehensive evaluation index system is illustrated, and the weights of each index are determined with an improved Analytic Hierarchy Process (AHP). This paper presents a multi-hierarchy grey relational analysis (GRA) method which is suitable for evaluating the multi-hierarchy index system with combining the AHP and grey relational analysis. Ultimately, the industrial application shows that multi hierarchy grey relational analysis is effective to evaluate the nature gas pipeline network operation schemes.

Author Biography

Wenlong Jia, School of Petroleum Engineering, Southwest Petroleum University CNPC key laborotary of Oil and Gas Storage and Transportation,Southwest Petroleum University

Wenlong Jia received his Master of Engineering degree from Southwest Petroleum University (SWPU), China. Currently, he is studying for his Ph.D. Degree in SWPU. He has published more than nine papers. His research interests include simulation and optimization for oil and gas pipeline system.

Published

2012-12-27

How to Cite

Li, C., Jia, W., Liu, E., & Wu, X. (2012). A MULTI-HIERARCHY GREY RELATIONAL ANALYSIS MODEL FOR NATURAL GAS PIPELINE OPERATION SCHEMES COMPREHENSIVE EVALUATION. International Journal of Industrial Engineering: Theory, Applications and Practice, 19(6). https://doi.org/10.23055/ijietap.2012.19.6.631

Issue

Section

Operations Research