Research on Maximal Covering Problem Based on Cost and Customer Satisfaction Degree

DOI

10.2991/tmcm-15.2015.38How to use a DOI?

Keywords

customer satisfaction; cost; maximal covering problem; service center; service center; the normalized normal constraint method

Abstract

According to cost and customer satisfaction degree, we build a bi-objective maximal covering problem in order to study the influence of central station siting by cost and customer satisfaction degree. During solving this bi-objective maximal covering problem, we use the normalized normal constraint method owing to cost and customer satisfaction degree having different dimensions. Finally, taking Shandong waste electronics recycling as an example, we code and solve by CPLEX, and analyzed the results.

Copyright

© 2015, 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/).

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TY  - CONF
AU  - Xiuyan Wang
AU  - Ying Qu
AU  - Chunyou Wu
PY  - 2015/11
DA  - 2015/11
TI  - Research on Maximal Covering Problem Based on Cost and Customer Satisfaction Degree
BT  - Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods
PB  - Atlantis Press
SP  - 153
EP  - 158
SN  - 2352-538X
UR  - https://doi.org/10.2991/tmcm-15.2015.38
DO  - 10.2991/tmcm-15.2015.38
ID  - Wang2015/11
ER  -