Research on Genetic Algorithm applied on Scheduling of Specialty Chemical Plant

碩士 === 國立成功大學 === 工業與資訊管理學系專班 === 95 === Batch production technique is applied to the production of specialty chemicals. As the capacity increasing, the construction cost of reactors will be added proportionably. How to divide up orders efficiently to gain the greatest use of reactors will be an im...

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Bibliographic Details
Main Authors: Chih-Lung Sung, 宋志龍
Other Authors: Chang-Chun Tsai
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/96679686261543229256
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Summary:碩士 === 國立成功大學 === 工業與資訊管理學系專班 === 95 === Batch production technique is applied to the production of specialty chemicals. As the capacity increasing, the construction cost of reactors will be added proportionably. How to divide up orders efficiently to gain the greatest use of reactors will be an important issue. There is few research about the idea of parallel machine used in the production scheduling of specialty chemicals so far;therefore, this research will be applied on the production scheduling of specialty chemicals with the concept of parallel machine.At this point, this research use the genetic algorithm to evaluate the approximate best value with the product sequence of reactors as genes and Makespan as objective function. After comparing the traditional dispatching method, earliest due date (EDD), with the result of this research, it shows that, in makespan, 13 units of time span reduced effectively in terms of big quantity of production scheduling, and 21 units of time span lowered in terms of small quantity. Thus it can be seen that this research method does obtain the greatest outcome of its application in specialty chemicals production. And then the method of research applied by program code written by MATLAB can be revised according to actual situation and also put it into practice in the plant. Consequently, the method of this research can assist the managers to make related production scheduling efficiently and have practical application value.