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Complexity Of Assembly Manufacturing System With Its Application

Posted on:2011-03-20Degree:DoctorType:Dissertation
Country:ChinaCandidate:F HeFull Text:PDF
GTID:1119330332968013Subject:Industrial Engineering
Abstract/Summary:PDF Full Text Request
Manufacturing system is becoming more and more complex whatever the system configuration and the operation process. This thesis aims at the assembly manufacturing system as the research object and classifies the complexity of the assembly manufacturing system more detailed based on the researches about the manufacturing system complexity. Then the concept model and measure model of the system complexity is established, and the model is utilized to different actual problems within the system operation.In the terms of the theory research, the assembly manufacturing system is selected as the research object in this research field for the first time. The complexity characteristic of the assembly manufacturing system is discussed through the three layers which are system structure, operation process and control modes, and the complexity of the system is classified as structure complexity, process complexity and control complexity based on these three layers. In order to recognize the complexity more clearly, three complexities are further be classified. Structure complexity is classified as assembly relationship complexity, assembly technique complexity and static structure complexity. The process complexity is classified as static process complexity and dynamic process. Then three kinds of dimensions which are operation dimension, control dimension and time dimension are proposed to establish a conceptual complexity model. Within the research of every complexity, some researches such as classification of the process complexity based on fractal theory; static and dynamic characteristic of the process complexity; analysis of the control complexity are proposed to improve the complexities. In addition, in terms of the measuring model, the information entropy is utilized to measure all kinds of complexity, and the measurement methods are adjusted under different conditions.In terms of the application the complexity theories to the actual problems, several issues which come from the static system structure to the dynamic operation are studied. In the research of the assembly line balancing, the dynamic balancing problem is first proposed and two kinds of optimization objectives are developed based on the assembly relationship complexity and the assembly technique complexity, and the genetic algorithm is utilized to solve the problem. In the research of the planning horizon, the diversity of the static and dynamic process complexity is analyzed, and a method is proposed to solve the maximum planning horizon. In the research of the mixed-model assembly sequencing problem, two optimization objectives are proposed by the different layers of the static process complexity, and the multi-object genetic algorithm is utilized to solve the problem. At last, a new rescheduling strategy is developed based on the production departure degree to deal with jump and gradient, or part and global factors which may affect the execution of the planning simultaneity.
Keywords/Search Tags:Assembly Manufaturing System, Complexity, System Modeling, Information Entropy, Assembly Line Balancing, Mixed-model Assembly Sequencing, Rescheduling
PDF Full Text Request
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