英文摘要 |
In the global competitive environment, the market’s demand changes fast and dramatically. Therefore, enterprises not only have to satisfy the diversified demands of customers, but enterprises also have to respond to the market in a low-cost and fast way. Those are the reasons why we need “mass customization,” which combines the advantages of “mass production” and “customization.” “Mass customization” offers the customized products/services in a mass production’s technology; in other words, “mass customization” reaches the goal of customization at the same cost and within the same time of “mass production.” The purpose of this research is to propose a genetic algorithm The genetic algorithm compares different crossover. The crossover including Order crossover, position-based crossover, order-based crossover. Finally, several examples were offered to verify the feasibility of the genetic algorithm. In examples, position-based crossover and order-based crossover is better than Order crossover. Because position-based crossover and order-based crossover can find the min makespan. |