本文選題：第三方物流 + 評(píng)價(jià)指標(biāo)體系��； 參考：《哈爾濱工業(yè)大學(xué)》2014年碩士論文

【摘要】：進(jìn)入21世紀(jì)以來(lái)，隨著專業(yè)分工的細(xì)化，企業(yè)認(rèn)識(shí)到只有將自身的核心優(yōu)勢(shì)集中化，同時(shí)借助外部的資源來(lái)彌補(bǔ)自身的弱勢(shì)，才能使企業(yè)變得更有競(jìng)爭(zhēng)力。企業(yè)和物流供應(yīng)商之間也從簡(jiǎn)單的交易關(guān)系上升為一種戰(zhàn)略合作的伙伴關(guān)系，這種戰(zhàn)略合作關(guān)系可以被認(rèn)為是整個(gè)供應(yīng)鏈上的“減震器”，既能減少供應(yīng)鏈上的不確定因素，降低庫(kù)存，減少整個(gè)系統(tǒng)的成本；又有助于提高對(duì)市場(chǎng)的反應(yīng)速度，增強(qiáng)在市場(chǎng)上的競(jìng)爭(zhēng)地位。如何才能站在全局的角度，科學(xué)地評(píng)價(jià)與選擇適合自身需求的第三方物流供應(yīng)商是企業(yè)增強(qiáng)自身供應(yīng)鏈的一個(gè)十分重要的課題，也是研究的熱點(diǎn)和難點(diǎn)。 鑒于此，本文在大量參閱了國(guó)內(nèi)外有關(guān)物流供應(yīng)商評(píng)價(jià)與選擇的研究成果的基礎(chǔ)上，基于直覺(jué)模糊TOPSIS理論構(gòu)建了第三方物流供應(yīng)商選擇模型。首先給出了直覺(jué)模糊集和直覺(jué)模糊數(shù)的概念，定義了一系列的運(yùn)算法則和集成算子；在考慮猶豫度的基礎(chǔ)上對(duì)已有直覺(jué)模糊集測(cè)度做出了新的改進(jìn)，并用算例驗(yàn)證了其有效性。隨后，結(jié)合國(guó)內(nèi)外物流供應(yīng)商評(píng)價(jià)指標(biāo)的現(xiàn)有成果和物流行業(yè)的發(fā)展特點(diǎn)選出若干評(píng)價(jià)指標(biāo)，以供后續(xù)篩選，進(jìn)而采用直覺(jué)模糊集作為理論工具，，根據(jù)企業(yè)的實(shí)際需求對(duì)各評(píng)價(jià)指標(biāo)的重要性進(jìn)行評(píng)價(jià)，刪除不重要指標(biāo)，建立滿足企業(yè)需求的評(píng)價(jià)指標(biāo)體系。在此基礎(chǔ)上，對(duì)第三方物流供應(yīng)商的選擇問(wèn)題進(jìn)行深入分析，基于不完全信息下的第三方物流供應(yīng)商選擇問(wèn)題，引入信息論里熵的概念，提出直覺(jué)模糊熵權(quán)法來(lái)確定各指標(biāo)權(quán)重，同時(shí)對(duì)傳統(tǒng)TOPSIS決策方法進(jìn)行擴(kuò)展，建立基于直覺(jué)模糊TOPSIS理論的第三方物流供應(yīng)商選擇模型。最后結(jié)合具體的算例表明該決策模型的易操作性和有效性，通過(guò)對(duì)評(píng)價(jià)指標(biāo)的權(quán)重進(jìn)行敏感性分析，分析結(jié)果也表明所提出方法具有較好的穩(wěn)定性。
[Abstract]:Since entering the 21st century, with the refinement of professional division of labor, enterprises realize that only by centralizing their core advantages and making use of external resources to make up for their weakness, can enterprises become more competitive. The relationship between enterprises and logistics suppliers has also evolved from a simple transaction relationship to a strategic cooperative partnership, which can be considered as a "shock absorber" on the entire supply chain, which can reduce uncertainties in the supply chain. Reduce inventory, reduce the cost of the whole system, and help to improve the speed of response to the market, enhance the competitive position in the market. How to scientifically evaluate and select the third-party logistics suppliers suitable for their own needs from the overall perspective is a very important issue for enterprises to strengthen their own supply chain, and it is also a hot and difficult point of research. In view of this, based on a large number of domestic and foreign logistics supplier evaluation and selection research results, based on intuitionistic fuzzy TOPSIS theory to build a third-party logistics supplier selection model. Firstly, the concepts of intuitionistic fuzzy set and intuitionistic fuzzy number are given, a series of algorithms and integration operators are defined, and a new improvement on the measure of intuitionistic fuzzy set is made on the basis of considering the degree of hesitation, and its validity is verified by an example. Then, combined with the existing achievements of domestic and foreign logistics supplier evaluation indicators and the development characteristics of logistics industry, selected some evaluation indicators for subsequent screening, and then used intuitionistic fuzzy sets as a theoretical tool. According to the actual needs of the enterprise, the importance of each evaluation index is evaluated, the unimportant index is deleted, and the evaluation index system is established to meet the needs of the enterprise. On this basis, the selection of third-party logistics suppliers is deeply analyzed. Based on the problem of supplier selection under incomplete information, the concept of entropy in information theory is introduced. An intuitionistic fuzzy entropy weight method is proposed to determine the weight of each index. Meanwhile, the traditional TOPSIS decision method is extended to establish a third-party logistics supplier selection model based on intuitionistic fuzzy TOPSIS theory. Finally, an example is given to show the maneuverability and validity of the decision model. The sensitivity analysis of the weight of the evaluation index shows that the proposed method has good stability.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F253;F224

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