物流管理外文文獻(xiàn)外文翻譯英文文獻(xiàn)逆向物流運(yùn)作渠道的決策方法-展示頁
2024-08-25 03:29本頁面
【正文】 other decisions support tool and methodologies. Uncertainty and imprecision is handled with linguistic values parameterized by the triangular fuzzy number. Analytic Hierarchy ProcessAHP method is developed by Prof. Thomas L. Saty. AHP divides a plex problem into a hierarchy of interrelated decision elements. AHP can deal with objective as well as nontangible subjective attributes. The procedure of AHP is as follows. Model the problem as a hierarchyDevelop a hierarchical structure with a goal at the top level, the criteria at the second level and alternatives at the third level. Alternatives are affected by uncertain events and are connected to all criteria. Construct a pairwise parison matrixA set of parison matrix with respect to an element of immediately higher level is constructed. The pairwise parisons capture a decision makers perception of which element dominates the other. Test the Consistency by calculating the Eigen VectorsThe relative normalized weight of each attribute is determined by calculating the geometric mean of the row and then normalizing the geometric means of rows in parison matrix.A consistency ratio of or less is considered as acceptable for matrices M a consistency ratio is more than the acceptable value, inconsistency occurs, and the judgments are untrustworthy, the evaluation process needs to be improved. Consistency ratio helps to ensure decision maker reliability in determining the priorities for the criteria. TOPSIS MethodTechnique for Order Preference by Similarity to Ideal Solution (TOPSIS) was first established by Hwang amp。 Manufacturer Operation, Third Party Operation, Joint Operation. In this paper a hybrid methodology based on Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) under fuzzy environment is proposed for the selection and evaluation of reverse logistics operating channels. An example is included to validate the proposed method. This method helps the decision maker to select the best technology that meets the requirement.Keywords: Reverse Logistics。未來的研究包含了結(jié)合層次分析法和模糊折中排序法（VIKOR）的一種兩階段方法，并進(jìn)行敏感度的分析以確定穩(wěn)定性?；趯哟畏治龇ê湍：h(huán)境下逼近理想解排序法的混合方法被提出來解決逆向物流運(yùn)作渠道的選擇。然而越來越多的環(huán)境上的問題，迫使企業(yè)去選擇逆向物流。一種綜合了層次分析法和模糊環(huán)境下逼近理想解排序法的混合方法將被企業(yè)用來進(jìn)行選擇。因此選擇正確的運(yùn)營渠道受到了企業(yè)的高度重視。該企業(yè)想擁有一套系統(tǒng)性的實(shí)施逆向物流的方法。4 模型應(yīng)用所提出的模型被應(yīng)用于工業(yè)上的一個(gè)問題。語言變量在處理過多層面或者在沒有被很好的定義情況下，在典型的數(shù)量方面，是非常有用的。模糊集合論允許決策者將無法量化的信息，不完整的信息和不可獲得的信息和部分被忽視的信息加入決策模型中。然而主要的缺點(diǎn)是關(guān)于代表決策者意見清晰值得不確定性和不準(zhǔn)確性。最好的選擇將是最接近積極的理想解決方案（該方案最大化了收益標(biāo)準(zhǔn)，最小化了成本標(biāo)準(zhǔn)）以及遠(yuǎn)離了消極的理想解決方案。 模糊環(huán)境下逼近理想解排序法模糊環(huán)境下逼近理想解排序法是由Hwang amp。，則被視為可接受的矩陣M，不一致就出現(xiàn)，判斷不可信，評估過程需要進(jìn)一步提高。在兩兩對比下決策者作出起到支配元素的認(rèn)知。層次分析法的步驟如下： 問題的模型層次化在最高水平目標(biāo)的前提下制定一個(gè)分層次的結(jié)構(gòu)，第二層級是標(biāo)準(zhǔn)，第三層級是可選擇的方案，可選擇方案受到不確定活動的影響，而且與所有的標(biāo)準(zhǔn)相關(guān)聯(lián)。 層次分析法層次分析法是由Thomas L. Saaty教授首先提出的，層次分析法把一個(gè)復(fù)雜的問題分解成相關(guān)聯(lián)的決策元素的層次結(jié)構(gòu)。通過將它的混合標(biāo)準(zhǔn)與其他許多決策支持工具和方法相結(jié)合能更好地應(yīng)用于實(shí)例中。模糊環(huán)境下逼近理想解排序法將用于得到最后各種方案的排名。在本章節(jié)中，基于層次分析法（AHP）和技術(shù)模糊環(huán)境下逼近理想解排序法（TOPSIS）相結(jié)合的混合方法將會呈現(xiàn)。有著數(shù)量限制的可選擇方案條件下，多準(zhǔn)則決策（MCDM）是離散的。逆向物流可以通過制造商自營（MO）、聯(lián)合運(yùn)營（JO）和第三方運(yùn)營（TPO）三種模式進(jìn)行。汽車企業(yè)回收報(bào)廢汽車的零部件。第二部分將提出問題，第三部分將給出解決的方法概述，第四部分將給出一則案例作為論證，第五部分
環(huán)評公示相關(guān)推薦
鄂ICP備17016276號-1