#3 – The Study of Coal Emergency Reserve Location Model Based on Multi-objective and Multi-level Gradual Coverage

Feng Ji, Tingting Lin, and Bangjun Wang. The Study of Coal Emergency Reserve Location Model Based on Multi-objective and Multi-level Gradual Coverage. Dynamic Systems and Applications 29 (2020) No. 10, 2950 – 2969

https://doi.org/10.46719/dsa202029103

ABSTRACT.
Coal is the basic resource for industrial production and residential consumption in China. The location and layout of the coal emergency reserve base have significant theoretical and practical values to prevent the occurrence of natural disasters and other emergencies. Unreasonable location will lead to an increase of state expenditure and waste of resources. The goal of the paper is to optimize the location of coal emergency reserve, achieve the pursuit of speed and quality of service, and control system costs effectively for emergency response system. This paper integrated three models of maximum coverage, P-center, and P-median, and proposed a multi-objective and multi-level gradual coverage coal emergency reserve location model that considers capacity constraint and reserve base failure. The empirical part of the paper used the southeast coastal area of China as a case study and two methods were adopted to solve the model, then the study analyzed the problem that reserve base location and emergency demand point allocation by using GUROBI optimizer called through AMPL (A Mathematical Programming Language) software. Results indicate the model could achieve economic efficiency and meet the needs of society, meanwhile the model has provided a basis for decision-making and a method for the rational allocation of coal emergency reserve base.

Keywords: emergency reserve location; multi-objective and multi-level coverage model; capacity limitation; failure problem.