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Production Variability and Its Approximate Technique for Manufacturing Systems

Author: HeXinFeng
Tutor: WuMou
School: Tsinghua University
Course: Management Science and Engineering
Keywords: Manufacturing systems Markov arrival process Production Line Floating production
CLC: TH16
Type: Master's thesis
Year: 2005
Downloads: 112
Quote: 1
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Abstract


The purpose of this paper is to study the Manufacturing System floating. Nowadays, with advanced management methods in the manufacturing system, such as the widespread implementation of lean manufacturing, production floating becoming more and more manufacturing system design and operation of a key problem, which aims to ensure that the manufacturing system predictable and reliable sex. , This paper proposes a new method for manufacturing system producing floating. The method is based on the manufacturing system subsystem stepwise approximation to a Markov arrival process, to draw the entire manufacturing system reach the Markov process model; then reach some of the known process results in accordance with the relevant Markov give Manufacturing System floatabiligy. This paper mainly studied the production of floating two issues: the production variance that the variance of the number of goods produced by the manufacturing system in a certain period of time; delivery time variance problem, namely manufacturing system to produce a given amount of the variance of the time required. According to the complexity of the manufacturing system, followed by study three manufacturing system, the serial production line repairable serial production lines and production floating repair modular assembly system. The middle of the study three types of manufacturing systems with limited capacity inventory method based on Markov arrival process similar in the three systems have been applied to achieve good. The experimental results show that this method is very effective in dealing with multi-machine, large inventories of intermediate complex manufacturing systems, quickly results, showing its obvious advantages. This is due to the arrival process through step by step Markov approximation, the size of the state space of the system has been well controlled, so that the entire amount of computation algorithm is controlled in a reasonable range. The huge amount of computation has always been the main challenges facing the production of floating analysis of complex manufacturing systems, a good solution to the problem in the proposed method. In addition, through a series of experimental study of the various system parameters in the manufacturing system, such as intermediate storage capacity, machine failure rate, repair rate on floating production, and obtained some useful results. Believe that the approximate arrival process based on the Markov method proposed in this paper to study the complex manufacturing systems, special machines in the production of floating mesh layout of the manufacturing system to provide a very useful basis.

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CLC: > Industrial Technology > Machinery and Instrument Industry > Machinery Manufacturing Technology
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