【摘要】：針對產(chǎn)供銷一體化企業(yè)中的選址-路徑-庫存系統(tǒng)聯(lián)合優(yōu)化問題,引入碳配額差值系數(shù),構(gòu)建了考慮碳配額差值和選址-路徑-庫存經(jīng)濟(jì)成本多目標(biāo)模型,并使用改進(jìn)的多目標(biāo)混合粒子群算法(MOHPSO)對問題進(jìn)行求解。對模型求解得到的帕累托最優(yōu)解集可以根據(jù)決策者的環(huán)保偏好選擇最佳的運作方案�；谥惺蜄|北化工銷售公司真實實例的計算實驗表明所構(gòu)建的模型和算法是有效并可行的,靈敏度分析驗證了所給出的帕累托前沿具有較好的均勻性。
[Abstract]:Aiming at the problem of joint optimization of site-path-inventory system in integrated enterprises of production, supply and marketing, a multi-objective model considering carbon quota difference and site-path-inventory economic cost is constructed by introducing the difference coefficient of carbon quota. An improved multiobjective hybrid particle swarm optimization (MOHPSO) algorithm is used to solve the problem. The Pareto optimal solution set obtained by solving the model can select the best operation scheme according to the environmental preference of the decision makers. Based on the real example of PetroChina Northeast Chemical Marketing Company, the calculation results show that the proposed model and algorithm are effective and feasible. The sensitivity analysis verifies that the given Pareto frontier has good uniformity.
【作者單位】： 東北大學(xué)工商管理學(xué)院;
【基金】：國家自然科學(xué)基金資助項目(70872019) 遼寧省教育廳人文社科基地資助項目(ZJ2013014)
【分類號】：F274

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