本文關鍵詞： 供應鏈 績效評價 供應鏈運作參考模型 西格瑪水平 層次分析法 流通率　出處：《南京理工大學》2014年碩士論文　論文類型：學位論文

【摘要】：隨著企業(yè)與企業(yè)之間的競爭轉變?yōu)楣⿷溑c供應鏈之間的競爭,如何提高供應鏈的績效與競爭力,從而使企業(yè)在激烈的競爭中立于不敗之地,成為當務之急的問題。而供應鏈績效評價,可以對企業(yè)供應鏈的營運能力進行綜合評價,分析供應鏈的管理績效,找出供應鏈中的薄弱環(huán)節(jié),以提高供應鏈績效,提升供應鏈整體競爭力。因此,供應鏈績效評價對于優(yōu)化供應鏈,提高供應鏈競爭力非常重要,是供應鏈管理領域的重要組成部分。然而供應鏈績效評價往往只關注綜合績效,對于節(jié)點企業(yè)的績效如何,并沒有太多關注,這不利于找到供應鏈中的最短板,提出針對性的改進措施。而六西格瑪管理中的流通率指標,不僅可以對供應鏈整體的績效進行衡量,還可以對供應鏈上節(jié)點企業(yè)的績效進行衡量,從而找出“隱藏工廠”。此外,六西格瑪管理中的西格瑪水平指標由于無量綱的特性,可以簡化供應鏈績效評價中繁瑣的計算過程。因此,本文將六西格瑪指標用于供應鏈績效評價。 本文分析了經(jīng)典的供應鏈績效評價模型,在供應鏈運作參考模型的基礎上提出了指標體系。該指標體系在原有流程和財務指標的基礎上,新增了可持續(xù)發(fā)展能力指標,共有目標層、準則層1、準則層2和操作層等四個層次,并對操作層進行了細分,從而使得體系易于操作、實用性強。傳統(tǒng)指標評估多采用主觀法,給績效評價帶來了消極影響,而本文用公式將操作層指標量化。此外,由于一些指標是望大型指標,而另一些指標是望小型指標,或是取值范圍不一,因此需對指標進行一致化和歸一化處理,并用西格瑪水平衡量指標績效值。 本文首先在確定指標和節(jié)點企業(yè)權重時,采用基于三角模糊數(shù)的層次分析法。本方法不僅體現(xiàn)了人類判斷的模糊性,還避開了矩陣一致性檢驗的問題。其次,提出流通率的模糊層次分析改進方法,克服了以往沒有權重,或是客觀權重對樣本依賴性過強的缺點。再次,由于不同的供應鏈類型,流通率的計算方法不同,因此本文將從串聯(lián)、并聯(lián)和混聯(lián)角度考慮流通率的計算,并把節(jié)點企業(yè)的績效轉換為衡量供應鏈整體的績效。最后,給出了供應鏈綜合績效評價的方法,并通過一個跨國家電制造行業(yè)的混聯(lián)型供應鏈驗證了此方法的有效性,用雷達圖給出了最終的數(shù)據(jù)結果。
[Abstract]:With the competition between enterprises changing into the competition between supply chain and supply chain, how to improve the performance and competitiveness of supply chain, so that enterprises in the fierce competition in an invincible position, The performance evaluation of supply chain can comprehensively evaluate the operation ability of enterprise supply chain, analyze the management performance of supply chain, find out the weak link in supply chain, and improve the performance of supply chain. Therefore, supply chain performance evaluation is very important to optimize supply chain and improve supply chain competitiveness, which is an important part of supply chain management. However, supply chain performance evaluation usually only pays attention to comprehensive performance. There is not much attention to the performance of the node enterprises, which is not conducive to finding the shortest board in the supply chain and putting forward targeted improvement measures. Not only can the performance of the supply chain as a whole be measured, but also the performance of the node enterprises in the supply chain can be measured to find the "hidden factory." in addition, the six Sigma level indicators are dimensionless because of their dimensionless characteristics. Therefore, this paper applies six Sigma indicators to supply chain performance evaluation. This paper analyzes the classic performance evaluation model of supply chain, and puts forward the index system based on the reference model of supply chain operation. There are four levels: goal layer, criterion layer 1, criterion layer 2 and operation layer, and the operation layer is subdivided to make the system easy to operate and practical. The traditional index evaluation mostly adopts subjective method, which brings negative impact to performance evaluation. In addition, because some indexes are large and others are small or have different values, it is necessary to unify and normalize the indicators. Using Sigma level to measure the performance of indicators. In this paper, the analytic hierarchy process (AHP) based on triangular fuzzy number is used to determine the index and the weight of nodal enterprises. This method not only reflects the fuzziness of human judgment, but also avoids the problem of matrix consistency test. An improved fuzzy analytic hierarchy process (FAHP) method for flow rate is proposed, which overcomes the shortcomings of no weight in the past, or the objective weight is too dependent on the sample. Thirdly, because of different supply chain types, the calculation method of circulation rate is different. Therefore, this paper will consider the calculation of flow rate from the point of view of series, parallel and hybrid, and convert the performance of node enterprises to measure the overall performance of supply chain. Finally, this paper gives the method of comprehensive performance evaluation of supply chain. The effectiveness of this method is verified by a hybrid supply chain in a multinational home appliance manufacturing industry. The final data results are given by radar diagrams.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F274

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本文編號：1503098