制造企業(yè)B銷售物流系統(tǒng)優(yōu)化
發(fā)布時間：2018-11-11 12:34
【摘要】：銷售物流是物流產(chǎn)業(yè)鏈上的重要環(huán)節(jié),在這一環(huán)節(jié),很多企業(yè)不僅僅面臨著運營成本居高不下的問題而且也有客戶服務水平比較低的問題。這兩方面的問題,影響著企業(yè)的市場競爭力和市場份額,要想解決這兩方面的問題,大多企業(yè)開始從控制庫存成本方面考慮,減少運營成本。要想從根本上實現(xiàn)供需平衡,避免產(chǎn)生不必要的庫存,就需要相關(guān)部門啟動精確地市場預測程序進行需求預測。當產(chǎn)品的質(zhì)量一定時,更高的客戶服務水平就取決于最終接觸客戶的第三方產(chǎn)成品承運商的服務水平,客戶關(guān)心產(chǎn)品能否按時按質(zhì)按量的到達,這對第三方承運商提出了更高的要求。生產(chǎn)、運輸及庫存這三者關(guān)系密切關(guān)系,要解決企業(yè)銷售物流系統(tǒng)的問題,應該從這些方面予以解決。 本文在研究制造企業(yè)B物流鏈的基礎(chǔ)上,總結(jié)分析了企業(yè)B銷售物流系統(tǒng)存在的現(xiàn)狀問題并找到關(guān)鍵點(生產(chǎn)、運輸、庫存)對其進行分析,從而提出了解決的方法。通過研究國內(nèi)外物流需求預測的現(xiàn)狀和預測方法,本文提出了基于誤差絕對值加權(quán)和最小的組合預測模型對案例企業(yè)進行實證分析,在一定程度上提高了預測精度。對于產(chǎn)成品承運商選擇的問題,本文通過建立基于定性分析法的TOPSIS模型,綜合評價承運商,對所有候選承運商進行優(yōu)劣性排序,可以方便生產(chǎn)企業(yè)對承運商進行選擇。結(jié)合案例企業(yè)實際情況進行分析,組合預測方法的使用比單預測方法精度有所提高,基于定性分析的TOPSIS多目標決策模型的使用,不僅有利于企業(yè)選擇最優(yōu)承運商也有利于選擇次優(yōu)承運商。從而對銷售物流系統(tǒng)進行優(yōu)化。
[Abstract]:Sales logistics is an important link in the logistics industry chain. In this link, many enterprises not only face the problem of high operating costs, but also have the problem of low level of customer service. These two problems affect the market competitiveness and market share of enterprises. If we want to solve these two problems, most enterprises begin to consider from the aspects of controlling inventory costs and reduce operating costs. In order to realize the balance of supply and demand fundamentally and avoid unnecessary inventory, it is necessary for relevant departments to start accurate market forecasting program to forecast demand. When the quality of the product is certain, the higher level of customer service depends on the service level of the third-party finished product carrier who finally contacts the customer, and the customer is concerned about whether the product can arrive on time, according to the quality, according to the quantity. This puts forward higher requirements for third-party carriers. Production, transportation and inventory are closely related to each other. In order to solve the problem of enterprise sales logistics system, we should solve them from these aspects. On the basis of studying the B logistics chain of manufacturing enterprises, this paper summarizes and analyzes the present situation of B sales logistics system and finds out the key points (production, transportation, inventory) to analyze it, and puts forward the solution. By studying the present situation and forecasting methods of logistics demand prediction at home and abroad, this paper puts forward a combination forecasting model based on the weighted and minimum absolute value of error to make empirical analysis of case enterprises, which improves the forecasting accuracy to a certain extent. For the selection of finished product carriers, this paper establishes a TOPSIS model based on qualitative analysis, evaluates carriers synthetically, and ranks all candidate carriers, which is convenient for manufacturing enterprises to select carriers. Combined with the actual situation of enterprise, the use of combined forecasting method is more accurate than that of single forecasting method, and the use of TOPSIS multi-objective decision model based on qualitative analysis. It is not only good for enterprises to choose the optimal carrier, but also for the selection of sub-optimal carrier. In order to optimize the sales logistics system.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F252;F416.7
本文編號：2324848
[Abstract]:Sales logistics is an important link in the logistics industry chain. In this link, many enterprises not only face the problem of high operating costs, but also have the problem of low level of customer service. These two problems affect the market competitiveness and market share of enterprises. If we want to solve these two problems, most enterprises begin to consider from the aspects of controlling inventory costs and reduce operating costs. In order to realize the balance of supply and demand fundamentally and avoid unnecessary inventory, it is necessary for relevant departments to start accurate market forecasting program to forecast demand. When the quality of the product is certain, the higher level of customer service depends on the service level of the third-party finished product carrier who finally contacts the customer, and the customer is concerned about whether the product can arrive on time, according to the quality, according to the quantity. This puts forward higher requirements for third-party carriers. Production, transportation and inventory are closely related to each other. In order to solve the problem of enterprise sales logistics system, we should solve them from these aspects. On the basis of studying the B logistics chain of manufacturing enterprises, this paper summarizes and analyzes the present situation of B sales logistics system and finds out the key points (production, transportation, inventory) to analyze it, and puts forward the solution. By studying the present situation and forecasting methods of logistics demand prediction at home and abroad, this paper puts forward a combination forecasting model based on the weighted and minimum absolute value of error to make empirical analysis of case enterprises, which improves the forecasting accuracy to a certain extent. For the selection of finished product carriers, this paper establishes a TOPSIS model based on qualitative analysis, evaluates carriers synthetically, and ranks all candidate carriers, which is convenient for manufacturing enterprises to select carriers. Combined with the actual situation of enterprise, the use of combined forecasting method is more accurate than that of single forecasting method, and the use of TOPSIS multi-objective decision model based on qualitative analysis. It is not only good for enterprises to choose the optimal carrier, but also for the selection of sub-optimal carrier. In order to optimize the sales logistics system.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F252;F416.7
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