Research On Emergency Facility Location Problem And Vehicle Routing Problem For Haz Mat Risk Mitigation

Haz Mat is an important part of industrial production.Due to the nature of these dangerous chemicals,every production,storage and transportation activity related to their use has many inherent risks for both society and environment.The primary problem in the field of chemical safety is how to minimize the risk associated with Haz Mat through scientific risk mitigation methods.According to the practical industrial style,this work focuses on Haz Mat storage tanks and Haz Mat vehicles,which divides Haz Mat into fixed hazardous sources and mobile hazardous sources.EFLP and H-VRP are considered as the corresponding risk mitigation methods of two types of hazardous sources.The specific research contents are as follows:Fixed hazardous sources are usually concentrated in the areas such as chemical plants or chemical industrial parks.Once fires,explosions or dangerous chemical leakages take place,CICAs are easily caused.Thus,to improve the accuracy of the risk measurement,a quantitative area risk assessment(QARA)method based on domino effect is proposed.Combining the mesh-based risk mapping result,this work develops a multi-objective EFLP model,which considers the spatial factors,the potential risks associated with fixed hazardous sources and the financial limitations simultaneously.To cope with the large-scale and highdimensional spatial data,a matrix encoding scheme,incorporating mesh-based spatial representation is coupled with P-MOEA for model solving.A case study is presented to demonstrate the methodology.Experimental results indicate that the proposed encoding scheme can effectively avoid dimension disaster,and can significantly improve the efficiency of solving the multi-objective geographic optimization problems.The procedure of H-HVRPTW model construction and the strategy for model solution are studied.The objective is to determine fleet size and routes so as to meet all given constraints as well as to minimize the objectives of the total traveling cost,the transportation risk and the average vehicle redundancy.A load-variant Haz Mat transportation risk assessment model considering parking time is presented to describe the transportation risk.A VN-HMOEA is proposed for solving the problem.The proposed VN-HMOEA integrates a two-phase Push Forward Insertion Heuristic(TP-PFIH)for initial population construction,specialized evolutionary operators for optimizing different objectives and a VNS metaheuristic for local search exploitation.The involvement of VNS metaheuristic can obviously improve the effectiveness of the algorithm.The shaking mechanism of the VNS metaheuristic can extract more problem-specific knowledge,which makes the VN-HMOEA easier to get high quality solutions.The transportation risk associated with mobile hazardous source is often accompanied by high levels of uncertainty.Thus,this work considers the H-CVRP as an uncertain decisionmaking problem.To provide additional degrees of freedom for modeling uncertainty,the T2-FV is used to describe the uncertain information in transportation risk.Under the framework of confidence measure,the chance constrained programming models of H-CVRP with the risk minimum objective function is proposed.A MNS-TLSAA is designed to solve the problem.The experimental results show that the proposed algorithm is competitive in terms of stability and convergence,and the reliability of the model is verified by a sensitivity analysis.The corresponding procedure of QARA and EFLP are engineered into self-developed chemical park monitoring and emergency rescue platform.Taking the national chemical park,Quzhou Green Industry Cluster as the specific application object,the demonstration project application verification was carried out and achieved good expected results.