水上應(yīng)急物資儲(chǔ)備選址—分配問(wèn)題研究
本文選題:水上應(yīng)急物資儲(chǔ)備庫(kù) 切入點(diǎn):選址-分配 出處:《大連海事大學(xué)》2016年博士論文
【摘要】:接連發(fā)生的水上突發(fā)事件,不僅對(duì)經(jīng)濟(jì)造成巨大損失,還對(duì)環(huán)境帶來(lái)巨大破壞。國(guó)家針對(duì)水上應(yīng)急物資儲(chǔ)備的資金投入不斷加大,未來(lái)還要建設(shè)一批水上應(yīng)急物資儲(chǔ)備庫(kù)?茖W(xué)合理規(guī)劃水上應(yīng)急物資儲(chǔ)備工作,降低應(yīng)急物資儲(chǔ)備的成本,有效應(yīng)對(duì)各種水上突發(fā)事件,成為亟待解決的問(wèn)題。本文研究水上應(yīng)急物資儲(chǔ)備選址-分配問(wèn)題,主要從水上應(yīng)急物資儲(chǔ)備庫(kù)選址-分配,水上應(yīng)急物資政企聯(lián)合儲(chǔ)備選址-分配,水上應(yīng)急物資儲(chǔ)備庫(kù)選址-配船3個(gè)方面展開(kāi)。(1)考慮水上自然條件的影響,將儲(chǔ)備庫(kù)選址問(wèn)題和應(yīng)急物資分配問(wèn)題集成考慮;建立了水上應(yīng)急物資儲(chǔ)備庫(kù)選址-分配優(yōu)化模型,并針對(duì)模型設(shè)計(jì)了遺傳算法求解;通過(guò)算例分析驗(yàn)證模型和算法的有效性?紤]應(yīng)急物資的需求的不確定性,建立了三角模糊需求下的水上應(yīng)急物資儲(chǔ)備庫(kù)選址-分配優(yōu)化模型,并針對(duì)模型設(shè)計(jì)遺傳算法求解;通過(guò)算例分析驗(yàn)證模型和算法的有效性。(2)研究應(yīng)急物資政企聯(lián)合實(shí)物儲(chǔ)備合作機(jī)理,分析了聯(lián)盟參與人之間的博弈關(guān)系,建立了聯(lián)盟收益模型,運(yùn)用shapley值解決合作聯(lián)盟收益分配問(wèn)題,最后分析了聯(lián)盟的穩(wěn)定性。研究政企聯(lián)合儲(chǔ)備下水上應(yīng)急物資儲(chǔ)備庫(kù)選址-分配問(wèn)題,建立了雙層優(yōu)化模型;上層規(guī)劃模型解決應(yīng)急物資儲(chǔ)備庫(kù)選址-分配問(wèn)題,下層規(guī)劃解決政企聯(lián)合儲(chǔ)備問(wèn)題:針對(duì)模型設(shè)計(jì)了遺傳-貪婪混合啟發(fā)式算法求解;通過(guò)算例分析顯示,應(yīng)急物資政企聯(lián)合能夠降低政府建立儲(chǔ)備庫(kù)的總成本,參與政企聯(lián)合儲(chǔ)備的企業(yè)可以從聯(lián)盟中獲得一定收益,驗(yàn)證了模型和算法的有效性。(3)將水上應(yīng)急物資儲(chǔ)備庫(kù)選址-分配問(wèn)題和應(yīng)急救助船舶的配備問(wèn)題集成考慮,建立離散非線性整數(shù)規(guī)劃模型;針對(duì)模型分別設(shè)計(jì)了混合啟發(fā)式算法和遺傳算法;以環(huán)渤海溢油事故為例,對(duì)兩個(gè)算法的計(jì)算效率進(jìn)行比較;對(duì)模型的計(jì)算結(jié)果進(jìn)行敏感性分析,并對(duì)假設(shè)條件進(jìn)行了Uncertainty-Sensitivity分析;驗(yàn)證了模型和算法的有效性。
[Abstract]:Successive water emergencies have not only caused huge losses to the economy, but also caused tremendous damage to the environment. The state has continuously increased its investment in water emergency material reserves. In the future, we will also build a batch of water emergency material reserves, scientifically and rationally plan the water emergency material reserve work, reduce the cost of the emergency material reserve, and effectively deal with all kinds of water emergencies. It is an urgent problem to be solved. This paper studies the problem of water emergency material reserve site-allocation, mainly from the water emergency material storage site-allocation, water emergency materials and enterprises joint reserve site-allocation, Firstly, considering the influence of the natural condition on the water, the problem of the location of the storage and the allocation of the emergency materials are considered, and the optimization model of the location and distribution of the emergency material on the water is established. The genetic algorithm is designed to solve the model, and the validity of the model and algorithm is verified by an example. The uncertainty of the demand for emergency materials is considered. The location allocation optimization model of water emergency material reserve is established under triangular fuzzy demand, and the genetic algorithm is designed to solve the model. By analyzing the validity of the model and the algorithm, the paper studies the cooperation mechanism of emergency material, analyzes the game relationship among the participants, and establishes the profit model of the alliance. Shapley value is used to solve the problem of cooperative alliance income distribution. Finally, the stability of the alliance is analyzed. The problem of site-allocation of emergency material reserve on the water of joint government and enterprise reserve is studied, and a bilevel optimization model is established. The upper planning model solves the site-allocation problem of the emergency material reserve, the lower level programming solves the joint government and enterprise reserve problem: a genetic greedy hybrid heuristic algorithm is designed to solve the problem. The combination of government and enterprises in emergency supplies can reduce the total cost of establishing a reserve bank by the government, and the enterprises participating in the joint reserve of government and enterprises can obtain certain benefits from the alliance. The validity of the model and algorithm is verified. (3) considering the site-allocation problem of water emergency material storage and the problem of emergency ship allocation, a discrete nonlinear integer programming model is established. A hybrid heuristic algorithm and a genetic algorithm are designed for the model. The computational efficiency of the two algorithms is compared by taking the oil spill accident in the Bohai Sea as an example. The sensitivity of the model results is analyzed and the hypothetical conditions are analyzed by Uncertainty-Sensitivity. The validity of the model and algorithm is verified.
【學(xué)位授予單位】:大連海事大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2016
【分類(lèi)號(hào)】:U698
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