基于粗糙集理論的制造系統不確定性識別與評價研究
發(fā)布時間：2018-09-14 09:04
【摘要】：經濟全球化背景下的21世紀的現代制造型企業(yè)競爭尤為激烈，企業(yè)的核心競爭力在于精干、高效、安全的生產運作系統。制造企業(yè)在實際生產過程中，并不是傳統假設的理想的確定條件，而是存在著大量的不確定性因素，因此對制造系統不確定性進行識別與評價具有重要的研究意義。 粗糙集理論使用數學方法對對象進行分析處理，能有效對分析對象做出客觀的評價。故本文采用粗糙集理論方法來對制造系統中的不確定性進行識別評價。 本文首先明確了研究內容、目的和意義、并對已有文獻、研究思路和方法進行了綜述；其次對相關理論進行介紹，包括對研究內容提供指導和借鑒的風險管理、供應鏈風險管理的理論與方法等相關內容，以及應用到的粗糙集理論與方法。 本文的創(chuàng)新在于構建了新的描述制造系統不確定性的指標體系，并在此基礎上建立了基于粗糙集理論的識別評價模型，通過對數據進行補齊離散化，對條件屬性進行屬性約簡來簡化指標體系，可得到識別評價的關鍵指標；根據屬性重要度確定指標權重，最終實現對制造系統不確定性的綜合評價。 本文選擇用非輪胎橡膠制品行業(yè)15家制造企業(yè)的相關數據作為實例，對建立的制造系統不確定性的識別評價模型進行驗證，得到了這一行業(yè)制造系統的主要的不確定性因素，，對其進行綜合評價，并對評價結果進行了相應的分析，提出了針對性的建議。
[Abstract]:Under the background of economic globalization, the competition of modern manufacturing enterprises in the 21st century is particularly fierce. The core competitiveness of enterprises lies in a lean, efficient and safe production and operation system. Manufacturing enterprises in the actual production process, is not the traditional assumption of the ideal conditions, but there are a lot of uncertainties, so the identification and evaluation of manufacturing system uncertainty has an important significance. Rough set theory uses mathematical method to analyze and deal with the object, which can effectively evaluate the object. Therefore, rough set theory is used to identify and evaluate the uncertainty of manufacturing system. This paper first defines the content, purpose and significance of the research, and summarizes the existing literature, research ideas and methods. Secondly, it introduces the relevant theories, including the risk management, which provides guidance and reference to the research content. The theory and method of supply chain risk management, and the application of rough set theory and method. The innovation of this paper is to construct a new index system to describe the uncertainty of manufacturing system, and on this basis, a recognition and evaluation model based on rough set theory is established. The index system can be simplified by attribute reduction of conditional attributes, and the key index of identification and evaluation can be obtained. Finally, the comprehensive evaluation of uncertainty of manufacturing system can be realized by determining the weight of index according to attribute importance. In this paper, the related data of 15 manufacturing enterprises in non-tire rubber products industry are selected as an example to verify the identification and evaluation model of manufacturing system uncertainty, and the main uncertainty factors of manufacturing system in this industry are obtained. The comprehensive evaluation is carried out, and the corresponding analysis of the evaluation results is made, and some pertinent suggestions are put forward.
【學位授予單位】：青島科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP18
本文編號：2242224
[Abstract]:Under the background of economic globalization, the competition of modern manufacturing enterprises in the 21st century is particularly fierce. The core competitiveness of enterprises lies in a lean, efficient and safe production and operation system. Manufacturing enterprises in the actual production process, is not the traditional assumption of the ideal conditions, but there are a lot of uncertainties, so the identification and evaluation of manufacturing system uncertainty has an important significance. Rough set theory uses mathematical method to analyze and deal with the object, which can effectively evaluate the object. Therefore, rough set theory is used to identify and evaluate the uncertainty of manufacturing system. This paper first defines the content, purpose and significance of the research, and summarizes the existing literature, research ideas and methods. Secondly, it introduces the relevant theories, including the risk management, which provides guidance and reference to the research content. The theory and method of supply chain risk management, and the application of rough set theory and method. The innovation of this paper is to construct a new index system to describe the uncertainty of manufacturing system, and on this basis, a recognition and evaluation model based on rough set theory is established. The index system can be simplified by attribute reduction of conditional attributes, and the key index of identification and evaluation can be obtained. Finally, the comprehensive evaluation of uncertainty of manufacturing system can be realized by determining the weight of index according to attribute importance. In this paper, the related data of 15 manufacturing enterprises in non-tire rubber products industry are selected as an example to verify the identification and evaluation model of manufacturing system uncertainty, and the main uncertainty factors of manufacturing system in this industry are obtained. The comprehensive evaluation is carried out, and the corresponding analysis of the evaluation results is made, and some pertinent suggestions are put forward.
【學位授予單位】：青島科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP18
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本文編號：2242224
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