本文關(guān)鍵詞： 逆向物流 不確定性 回收預(yù)測 回收模式 網(wǎng)絡(luò)結(jié)構(gòu) 性能優(yōu)化 信息平臺 模糊神經(jīng)網(wǎng)絡(luò) Stackelberg博弈 模糊規(guī)劃 改進(jìn)粒子群算法 SD仿真　出處：《浙江大學(xué)》2014年博士論文　論文類型：學(xué)位論文

【摘要】：逆向物流是相對于傳統(tǒng)正向物流而言的一種新型物流控制模式,主要研究如何有效實現(xiàn)產(chǎn)品的回收與再利用。逆向物流的實施可以帶來巨大的經(jīng)濟效益、社會效益和環(huán)境效益。不確定性是逆向物流的最大特點,也增加了逆向物流系統(tǒng)構(gòu)建與優(yōu)化的難度。本文結(jié)合國家863課題,以廢舊家電為研究對象,總結(jié)了逆向物流管理的研究現(xiàn)狀,分析了逆向物流的不確定性,并預(yù)測了廢舊產(chǎn)品的回收水平。在此基礎(chǔ)上,深入研究了回收模式?jīng)Q策、回收網(wǎng)絡(luò)架構(gòu)、動態(tài)性能優(yōu)化等方面的內(nèi)容,并設(shè)計了系統(tǒng)的信息服務(wù)平臺。本文的研究可為逆向物流系統(tǒng)的構(gòu)建提供科學(xué)的理論基礎(chǔ)和方法指導(dǎo)。 第一章回顧了論文研究的背景,闡明了論文研究的意義。描述了逆向物流的相關(guān)概念。論述了論文相關(guān)領(lǐng)域的國內(nèi)外研究現(xiàn)狀。最后給出了論文的研究思路和框架。 第二章在分析逆向物流系統(tǒng)不確定的基礎(chǔ)上,描述了逆向物流的不確定性衍生機理概念模型,研究了基于模糊理論的系統(tǒng)構(gòu)建與優(yōu)化方法體系。接著基于產(chǎn)品全生命周期,分析了影響廢舊產(chǎn)品回收數(shù)量和回收時間的主要因素,建立了回收水平的模糊神經(jīng)網(wǎng)絡(luò)預(yù)測模型。 第三章對比分析了常見的逆向物流回收模式的特征。重點針對制造商自營、經(jīng)銷商負(fù)責(zé)以及第三方部分負(fù)責(zé)這三種回收模式,對應(yīng)建立了模糊不確定環(huán)境下的雙層規(guī)劃模型,在Stackelberg框架下進(jìn)行了模型的求解,考慮到回收方的投資效率和制造商的風(fēng)險偏好,定量比較分析了各回收模式的最優(yōu)均衡零售價、回收率、批發(fā)價以及供應(yīng)鏈各成員利潤,并從供應(yīng)鏈整體的優(yōu)化角度判斷了制造商決策的合理性。為了保證逆向物流外包模式時合作關(guān)系的穩(wěn)定性,設(shè)計了合作契約下的回收利益分配機制。 第四章描述了逆向物流網(wǎng)絡(luò)的組成與各設(shè)施的功能,根據(jù)與正向物流網(wǎng)絡(luò)的關(guān)聯(lián)程度,分析了三種典型的網(wǎng)絡(luò)組織結(jié)構(gòu)。以網(wǎng)絡(luò)運作總成本最小為優(yōu)化目標(biāo),建立了逆向物流網(wǎng)絡(luò)的通用優(yōu)化模型,模型中考慮了產(chǎn)品回收量、需求量以及各設(shè)施處理能力的不確定性,心用模糊機會約束規(guī)劃方法將模型轉(zhuǎn)化成了清晰化等價形式,并提出了一種自適應(yīng)動態(tài)調(diào)整慣性權(quán)重的粒子群算法進(jìn)行求解。進(jìn)而探討了網(wǎng)絡(luò)結(jié)構(gòu)的環(huán)境適應(yīng)能力,構(gòu)建了性能穩(wěn)健指數(shù)來評價設(shè)計網(wǎng)絡(luò)的穩(wěn)健性。 第五章研究了環(huán)保策略、再制造能力擴張策略以及不同市場行為等外部因素對逆向物流系統(tǒng)中長期的影響,建立了SD模型對系統(tǒng)性能進(jìn)行了動態(tài)仿真。通過選擇不同的參數(shù)組合分析了不同情形下的系統(tǒng)性能,為政策制定者和決策者對逆向物流系統(tǒng)進(jìn)行中長期的動態(tài)規(guī)劃提供了一個有用的工具。 第六章在論文理論研究的基礎(chǔ)上,對逆向物流信息服務(wù)平臺進(jìn)行了需求分析,描述了平臺的總體結(jié)構(gòu)和功能模型。 第七章對總結(jié)了本文研究所取得的成果,并指出了今后進(jìn)一步的研究方向。
[Abstract]:The reverse logistics is compared with the traditional forward logistics as a new logistics control mode, mainly studies how to effectively implement the product recovery and reuse. The implementation of reverse logistics can bring huge economic benefits, social benefits and environmental benefits. The uncertainty is the biggest characteristic of reverse logistics, also increased the difficulty of constructing reverse logistics system and optimization. Combined with the National 863 project, the waste electrical appliances as the research object, summarizes the research status of reverse logistics management, analyzes the uncertainty of reverse logistics, and to predict the recovery level of waste products. On the basis of in-depth study of the recovery mode decision, recovery network architecture, dynamic performance optimization of the content. And the design of the information service platform system. This research can provide a theoretical basis and methods of scientific guidance for the construction of reverse logistics system.
The first chapter reviews the background of the research, expounds the significance of the research, describes the related concepts of reverse logistics, and discusses the research status quo in related fields at home and abroad. Finally, it gives the research idea and framework of the paper.
The second chapter based on the analysis of the uncertainty of reverse logistics system, describes the uncertainty of reverse logistics derivative mechanism conceptual model, research the construction and optimization of the system based on the fuzzy theory. Then the whole life cycle of the products based on the analysis of the impact of waste products recycling and recovery time of the number of main factors, prediction model is established fuzzy neural network recovery level.
The third chapter is the comparative analysis of the reverse logistics mode. Focusing on the common features of the manufacturer and the third party is responsible for the self, the dealer responsible for the three part of the recovery mode and corresponding established uncertain fuzzy bilevel programming model under the environment of the solution of the model under the framework of Stackelberg, considering the investment efficiency and recovery of the manufacturers the risk preference of quantitative comparative analysis of the optimal equilibrium retail price, the recovery mode of recovery, the wholesale price and the profit of the supply chain members, and optimize the supply chain from the perspective of the overall judgment of rationality. In order to ensure the stability of the decision makers of reverse logistics outsourcing cooperation mode, designed the recovery mechanism of interest distribution cooperation contract next.
The fourth chapter describes the reverse logistics network and the composition of the facilities, according to the degree of correlation with forward logistics network, analyzes three typical network structures. The network operation of minimum total cost as optimization objectives, and establish a general optimization model of reverse logistics network model, considering the product recovery rate of senior high school entrance examination, demand and the capacity of facilities for treatment of the uncertainty of heart with fuzzy chance constrained programming method the model is transformed into a clear equivalence form, and proposed an adaptive dynamic adjustment of inertia weight particle swarm algorithm. And then discusses the network structure's ability to adapt to the environment, constructs a robust performance index to evaluate the robustness of network design.
The fifth chapter studies the environmental protection strategy, remanufacturing capacity expansion strategy and market behavior of different external factors on the long-term effect of reverse logistics system, SD model is established and the dynamic simulation of the system performance. The system performance under different conditions are analyzed by choosing different combinations of parameters, decision makers and policy makers for dynamic programming long term of reverse logistics system provides a useful tool.
The sixth chapter, based on the theoretical research of the thesis, analyzes the requirements of the reverse logistics information service platform, and describes the overall structure and function model of the platform.
The seventh chapter summarizes the achievements of this study, and points out the further research direction in the future.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2014
【分類號】：F252;TP311.52

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