| Summary: | 碩士 === 東海大學 === 工業工程與經營資訊學系 === 99 === Steel industry, which is regarded as both capital and technology-intensive industry, is the basic industry for national infrastructure. Among this field, the cutting technology relatively plays an important role. However, most of the cutting operation is processed manually in accordance with the rule of thumb, that is, the experience, subjective consciousness, and habit of the operator – this factor causes the material usage rate to drop, and therefore produces lots of residual material.
In this study, the issue of producing residual material during the process of steel cutting is widely discussed. Through investigating on steel cutting procedure, this research aims at examining the factors, which might generate the residual material, constructing the mathematical models, which are suitable for steel cutting, and using efficient computational methods to get the optimizing cutting model, which is able to reduce the amount of residual material. Furthermore, in order to put the cutting mode of this research into practice, a framework of decision support system, which conforms to the current operation, would be proposed. This system would instantaneously provide the references of strategic decision on the aspects of order-taking and schedule-making for manager. In consideration of the instantaneity of decision making in real practice, the system is suggested using the best-fit-decreasing heuristic method to process in order to enhance the efficiency of planning decision-making.
Via applying the decision support system of this research, manager not only can effectively control and manage the cutting operation, but also assist manager to make the most appropriate decision as taking orders and planning production schedules, and acquire a more practical way to solve the problem of metal cutting that has been impeding the improvement in this field, and thus enhance the industrial technology.
|
|---|
