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Based on Fuzzy Theory Construction and optimization of supply chain networks

Author: FuYuYing
Tutor: PanXiaoHong
School: Zhejiang University
Course: Mechanical Manufacturing and Automation
Keywords: Supply Chain Management Partner Selection Fuzzy Multiple Attribute Decision Making Multi-objective optimization Fuzzy assignment game Fuzzy Multiple Objective Programming Fuzzy planning
CLC: F274
Type: PhD thesis
Year: 2009
Downloads: 1297
Quote: 6
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Supply chain dynamics, complexity makes the uncertainties in the supply chain network is everywhere and at all times. Uncertainties hindering the supply chain node enterprise collaboration, affecting supply chain performance play. In this regard, one the one hand, through the establishment of collaborative mechanisms and network information using new technologies to maximize exchange eliminate or mitigate the uncertainties in the supply chain impact, it also actively explore decision optimization under uncertainty to effectively promote the good functioning of the supply chain. Uncertainty theory development and continuous improvement of the uncertainty of the case study supply chain operations provides a powerful mathematical tool. In this paper, fuzzy theory support, explore and study fuzzy uncertainty of supply chain network construction and optimization problems. The first chapter describes the research background and motivation, reviewed papers related to research in the field, analyzes the supply chain, the focus of attention, pointing out the deficiencies related studies and research objectives proposed herein, on this basis, the paper gives research and frameworks. Chapter II of the uncertainty in the supply chain network generation mechanism, mode of action and forms, discusses the characteristics of the supply chain uncertainty and its corresponding control mechanisms and management techniques. For fuzzy uncertainty, the parameters of the supply chain, objectives and decision-making process fuzzy uncertainty fuzzy description, in the full knowledge of the use of fuzzy theory is proposed based on fuzzy theory based supply chain network construction and optimization system for papers follow-up study provides technical support. The third chapter analyzes the fuzzy uncertainty of supply chain network construction especially when the partner selection problems, presented by leading supply chain strategy and fuzzy attribute component contained two types of qualitative and quantitative multi-variable fuzzy multi-attribute supply chain collaboration partner evaluation and selection methods and focuses on three aspects of the study: First, policy makers reflect the wishes of discrete fuzzy integrated approach to information gathering and corresponding fuzzy linguistic weight vector determined; two supply chain strategy is the importance of multi-attribute classification and fuzzy semantic matching; Third, supply chain partnerships comprehensive evaluation value as a weight distribution of supply chain tasks thick, thus forming the initial supply chain network. Chapter IV of fuzzy cooperative game-oriented supply chain network optimization under uncertainty based on fuzzy proposed task allocation and gain a balanced supply chain network optimization method. From the \Multi-assignment game model, the introduction of the concept of fuzzy fuzzy ranking whole assignment game model for solving multi-study, whereby the balance of interests and meet specific targets assigned for supply chain optimization subnet. Chapter V of the centralized decision-oriented fuzzy multi-objective optimization of supply chain networks. Investigate the expression of target coordination fuzzy goal satisfaction, analyze supply chain under centralized decision-making more objective method for determining the weights proposed based interactive decision-makers a satisfactory level of compensation satisfaction and target multi-objective model for solving ideas, thereby obtaining a centralized decision-making mode multi-objective optimization of supply chain coordination satisfaction subnet. Chapter VI of the fuzzy multi-objective decision-making under the distribution supply chain network optimization. Distribution supply chain decision-making is an important characteristic of hierarchical decision-making and people groups, thereby introducing a multi-level multi-objective planning under uncertainty described by fuzzy decision-making supply chain distribution characteristics of this decision, the establishment of double fuzzy multi-objective planning model. The use of different levels of priority among policy-makers and decision-making mechanisms for decision-making and dialogue, research-level objective optimization method for solving the interaction satisfaction, thereby making way for obtaining the distribution level objectives to meet the coordinated supply chain optimization subnet. Finally, the content of this study concluded that the innovation of the paper, the Department needs to improve and further and further research directions.

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