Study On The Layout Optimization Of Urban Logistics Infrastructures Of Multi-Attribute Characteristics

The layout optimization of logistics infrastructures is an important work of the process of logistics planning.The main contents include demand analysis, hierarchical division, quantity determination, scale determination, location, distribution of logistics demand, etc. The science and effectiveness in the process of the logistics infrastructures system planning and design determine the operation efficiency and service level of the logistics network.As a place to provide logistics functions and organizational logistics services, the urban logistics infrastructures aim to meet urban social economic development and people's living needs, however, their representation are logistics park, logistics center, distribution center, all kinds of transportation hub, freight station, warehouse, etc. This dissertation analyzes the total logistics demand, the distribution characteristics of directions of flow, modes of transportation, categories of goods. Various valid measure and methods are adopted to deterimine the category and level of the urban logistics infrastructures and quantity, scale, location service objects of different levels of the urban logistics infrastructures.The layout optimization of the urban logistics infrastructures are affected by logistics demand, the conditions of urban land and urban geographic location and other factors. Different categories of the urban logistics infrastructures have different service radiuses, service capabilities and service objects.The relations can be measured by comprehensive attributes of similarity, relevance. All these relatons are boiling down to multiple attribute problem.It is has a positive meaning in improving the scientificity and operability of the urban logistics planning.Based on existing research results, this dissertation first presents the core, extension and comprehensive attributes of the urban logistics infrastructures. The study focuses on stratification and classification, quantity and scale, location in the process of layout optimization of the urban logistics infrastructures.Overall, the main contents of this dissertation are as follows:1.Based on the existing various technical properties and characteristics,the attributes of the urban logistics infrastructures consist of the core, extension attributes and comprehensive attributes. The definition calculation formulas of each specific attributes are discussed respectively. The comprehensive attributes of similarity, relevance are emphatically discussed. Considering the extension attributes, the complex characteristics of the urban logistics network are analyzed by the complex network theory. Considering the core attributes, the determination method of the category and level are suggested by the clustering method.2.The determination methods of quantity and scale are studied. First, considering the charactersitcis of existing research methods, weak links of existing research methods are found. Then, an analogy model is proposed based on the similarity attribute. The methods of similarity degree, function fitting and area difference are proposed to determine the similarity. Finally, the parameter of the similarity unit in the analogy model is obtained by the grey relation theory and the rough sets reduction. The parameter of the index weight is obtained by the attribute dependability.3.The location problems of the multi-level urban logistics infrastructures are studied. First, considering the charactersitcis of mutiple level, relevance, space limitations in the process of location, the multi-level urban logistics infrastructures location model with constraints of service radius (M-ULIL-SR) is developed based on mixed integer nonlinear programming (MINLP) approach. The coding structure in accordance with the property of solution are designed, the model (M-ULIL-SR) is solved by the genetic algorithm (GA). A numeric example was presented to demonstrate the validity of the model.Secondly, in order to determine the service radius and the alternative points of different levels of logistics infrastructures, a heuristic algorithm with logistics demand area division, similarity judgement and clustering analysis is designed. Through a case study, the convenience and practicality of the algorithm can be verified. Finally, considering the constraints of service capacity, the attribute of relevance between logistics infrastructures, anothor model (M-ULIL-CR) is developed based on the extention of M-ULIL-SR. The solving strategy is proposed, including genetic algorithm (GA) and Partical Swarm Optimization (PSO). the correctness and effectiveness of this algorithm are proved through experiment and analysis.the results of M-ULIL-CR are compared with M-ULIL-SR.4.The location problems of the urban emergency logistics infrastructures are studied. First, considering maximize the satisfaction of emergency logistics demand points, the urban emergency logistics infrastructures location models with capacity constraints (UELIL-CS) and uncapacitated constraints (UELIL-UCS) are developed based on mixed integer nonlinear programming (MINLP) approach. Secondly, the location of the object is shiftted from the existing logistics infrastructures to the reconstructing emergency logistics infrastructures. The factors affecting the emergency logistics location with difficult to quantify are rank the alternatives by the multi-attribute decision-making theory and form decision-making preferences, the urban emergency logistics infrastructures location models with the constraints of service quantity(UELIL-SQ) is developed based on multi-objective programming (MOP) approach. The objective of UELIL-SQ are both for maximizing the satisfaction of emergency logistics demand points and minimizing the construction cost of emergency logistics infrastructures. The solving strategy is proposed by simulated annealing (SA), the effects of the model are estimated by using numerical simulation method.