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

【摘要】：進入21世紀(jì)以來，隨著專業(yè)分工的細化，企業(yè)認識到只有將自身的核心優(yōu)勢集中化，同時借助外部的資源來彌補自身的弱勢，才能使企業(yè)變得更有競爭力。企業(yè)和物流供應(yīng)商之間也從簡單的交易關(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)系可以被認為是整個供應(yīng)鏈上的“減震器”，既能減少供應(yīng)鏈上的不確定因素，降低庫存，減少整個系統(tǒng)的成本；又有助于提高對市場的反應(yīng)速度，增強在市場上的競爭地位。如何才能站在全局的角度，科學(xué)地評價與選擇適合自身需求的第三方物流供應(yīng)商是企業(yè)增強自身供應(yīng)鏈的一個十分重要的課題，也是研究的熱點和難點。 鑒于此，本文在大量參閱了國內(nèi)外有關(guān)物流供應(yīng)商評價與選擇的研究成果的基礎(chǔ)上，基于直覺模糊TOPSIS理論構(gòu)建了第三方物流供應(yīng)商選擇模型。首先給出了直覺模糊集和直覺模糊數(shù)的概念，定義了一系列的運算法則和集成算子；在考慮猶豫度的基礎(chǔ)上對已有直覺模糊集測度做出了新的改進，并用算例驗證了其有效性。隨后，結(jié)合國內(nèi)外物流供應(yīng)商評價指標(biāo)的現(xiàn)有成果和物流行業(yè)的發(fā)展特點選出若干評價指標(biāo)，以供后續(xù)篩選，進而采用直覺模糊集作為理論工具，，根據(jù)企業(yè)的實際需求對各評價指標(biāo)的重要性進行評價，刪除不重要指標(biāo)，建立滿足企業(yè)需求的評價指標(biāo)體系。在此基礎(chǔ)上，對第三方物流供應(yīng)商的選擇問題進行深入分析，基于不完全信息下的第三方物流供應(yīng)商選擇問題，引入信息論里熵的概念，提出直覺模糊熵權(quán)法來確定各指標(biāo)權(quán)重，同時對傳統(tǒng)TOPSIS決策方法進行擴展，建立基于直覺模糊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，通過對評價指標(biāo)的權(quán)重進行敏感性分析，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)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F253;F224

【參考文獻】

相關(guān)期刊論文 前10條

1 董紹斌;馮玉強;王雁軍;;應(yīng)用直覺模糊集多屬性決策Topsis方法評價電站機組的運行狀態(tài)[J];動力工程;2009年04期

2 藍驍;;談我國第三方物流服務(wù)質(zhì)量評價指標(biāo)體系的構(gòu)建[J];法制與經(jīng)濟(下半月);2008年03期

3 譚狄溪;陳姣;王曉暾;;基于不確定語言信息的物流供應(yīng)商選擇[J];工業(yè)工程;2012年03期

4 張炎亮;胡琳琳;李亞東;;基于神經(jīng)網(wǎng)絡(luò)集成的第三方物流客戶滿意度測評[J];工業(yè)工程;2013年03期

5 馬雪芬,劉易勇,孫樹棟,吳秀麗;供應(yīng)鏈管理環(huán)境下第三方物流企業(yè)的評價選擇[J];計算機工程與應(yīng)用;2003年02期

6 林云;謝敏;黃波;鄭朝清;;TOPSIS定權(quán)的FCE法在物流供應(yīng)商選擇中的應(yīng)用[J];計算機應(yīng)用研究;2012年05期

7 夏彩云;;AHP-模糊綜合評價法在物流企業(yè)供應(yīng)商選擇中的應(yīng)用研究[J];交通標(biāo)準(zhǔn)化;2011年07期

8 王堅強;張忠;;基于直覺梯形模糊數(shù)的信息不完全確定的多準(zhǔn)則決策方法[J];控制與決策;2009年02期

9 任春玉;王曉博;朱彥峰;;第三方物流企業(yè)績效評價體系研究[J];物流科技;2006年05期

10 彭志一;高鳳蓮;;基于關(guān)聯(lián)熵和模糊物元的備件物流供應(yīng)商評價[J];科技管理研究;2013年03期

本文編號：2093841