A study of scheduling optimization model for elevator industry

• Main Authors: Wei-Hsin Tung, 童維新
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/56162781878805535081

碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 101 === Elevator industry has several characteristics, as the role of equipment suppliers and installation contractors. Because it’s highly dependant on the building industry of business cycle. Expensive, long production time and date of delivery uncertain are the elevator industry characteristics, the modern buildings require unique style and the high demand recognizable. Elevator manufacturing mode from MTS(make to stock) change to MTO(make to order). Customization means differentiated products, it will increase the elevator manufacturing in dispatch design workers, material requirements, production schedules and site installation on the limited resources of the difficulties. The range of research in this thesis is elevator production scheduling problem, and the method of Genetic Algorithms is adopted to construct solution models. The genetic algorithm has been applied to the combination optimization problem, network implement and logistic transport planning. However, the elevator production scheduling haven’t been researched. This thesis tries to verify the better solution can be found using the genetic algorithm.