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  本文選題：易腐品　切入點(diǎn)：碳政策　出處：《曲阜師范大學(xué)》2017年碩士論文

【摘要】：現(xiàn)如今,溫室氣體造成的全球氣候變暖問題越來越受到人們的重視。各個國家和組織通過制定一系列政策來控制碳排放量,比如碳交易政策、碳稅政策、碳限額政策和碳懲罰政策。碳排放量已成為企業(yè)進(jìn)行決策的一個重要參考依據(jù),易腐品由于其易變質(zhì)的特性在運(yùn)輸以及存儲過程在中會消耗更多的資源,從而對環(huán)境的影響要高于一般性產(chǎn)品。因此,在倡導(dǎo)低碳的經(jīng)濟(jì)環(huán)境下,研究碳政策下供應(yīng)鏈企業(yè)的易腐品庫存策略是有重要意義的。本文研究不同碳政策下易腐品的庫存優(yōu)化問題。當(dāng)需求率為當(dāng)前庫存水平的線性函數(shù),產(chǎn)品的變質(zhì)率服從兩參數(shù)的Weibull分布時,建立了以最大平均總利潤為目標(biāo)的非線性約束優(yōu)化問題,證明了最優(yōu)補(bǔ)貨周期的存在性與唯一性。通過與傳統(tǒng)的易腐品庫存優(yōu)化模型以及以最小碳排放量為目標(biāo)的碳模型進(jìn)行比較,分析了碳交易政策和碳稅政策對零售商最優(yōu)庫存策略的影響。論文內(nèi)容安排如下:第一章,介紹碳政策下易腐品庫存優(yōu)化問題的研究背景,對國內(nèi)外相關(guān)研究現(xiàn)狀進(jìn)行評述,介紹本文的主要研究成果。第二章,研究不允許缺貨時碳政策下易腐品的庫存優(yōu)化問題。在碳政策下確定零售商的最優(yōu)補(bǔ)貨策略,并與傳統(tǒng)易腐品庫存模型進(jìn)行比較。通過靈敏度分析,研究系統(tǒng)參數(shù)對零售商最優(yōu)利潤、最優(yōu)補(bǔ)貨周期以及碳排放量的影響。第三章,研究允許缺貨時碳政策下易腐品的庫存優(yōu)化問題。確定碳交易和碳稅碳政策下零售商的最優(yōu)補(bǔ)貨策略,分析比較兩種政策對零售商最優(yōu)利潤和碳排放量的影響,確定對零售商有利的碳政策。最后利用靈敏度分析研究參數(shù)對零售商最優(yōu)決策的影響。
[Abstract]:Nowadays, people pay more and more attention to the problem of global warming caused by greenhouse gases. Countries and organizations make a series of policies to control carbon emissions, such as carbon trading policy, carbon tax policy. Carbon capping policies and carbon penalty policies. Carbon emissions have become an important reference for enterprises to make decisions. Perishable products, because of their perishable properties, consume more resources in transport as well as in storage processes. The impact on the environment is therefore higher than that of general products. Therefore, in the context of a low-carbon economic environment, It is important to study the perishable inventory strategy of supply chain enterprises under carbon policy. In this paper, we study the inventory optimization of perishable products under different carbon policies. When the demand rate is a linear function of the current inventory level, The nonlinear constrained optimization problem with the maximum average total profit as the goal is established when the deterioration rate of the product is distributed from the Weibull distribution of two parameters. It is proved that the existence and uniqueness of the optimal replenishment cycle are compared with the traditional perishable inventory optimization model and the carbon model with the aim of minimum carbon emission. This paper analyzes the influence of carbon trading policy and carbon tax policy on retailers' optimal inventory strategy. The content of this paper is arranged as follows: chapter one introduces the research background of perishable inventory optimization under carbon policy, and reviews the current research situation at home and abroad. The main research results of this paper are introduced. In chapter two, the inventory optimization problem of perishable goods under carbon policy is studied, and the optimal replenishment strategy of retailers is determined under carbon policy. And compared with the traditional perishable inventory model. Through sensitivity analysis, the effects of system parameters on retailer's optimal profit, optimal replenishment period and carbon emissions are studied. This paper studies the inventory optimization of perishable goods under carbon policy when stock is allowed to be out of stock, determines the optimal replenishment strategy of retailers under carbon trading and carbon tax carbon policy, and analyzes and compares the effects of the two policies on the optimal profits and carbon emissions of retailers. Finally, the sensitivity analysis is used to study the influence of the parameters on the retailer's optimal decision.
【學(xué)位授予單位】：曲阜師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：X196;F274

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本文編號：1686574