This research had two main objectives. The first research objective was to make the right design of new product according to customer requirements with the implementation of Quality Function Deployment (QFD) in the tire industry. The second research objective was to enhance competitiveness based on the renewal of marketing strategy and consumer needs, non-explosive prohibition, non-slip tires, no bulgy, and competitive prices. The research was carried out by using costumer satisfaction rating by comparing with the competitor companies. Based on calculation using QFD method, it shows that split liner has the highest percentage of technical requirement in tire industry about 30,57%. The second factor is pattern design about 25,98%. Then, the third factor is compound technology about 22,68%. Therefore, the researchers can recommend several strategies for the quality improvement based on customer needs for the tire industry.

In the case of delivery of goods for export purposes with large box dimension variations, the arrangement of goods in the fleet becomes very important as it affects the efficiencies of the cost. This situation is felt by all industrial sectors, one of which is the automotive industry. One problem is due to loading container issues, which in this case is due to the use of fleets for unfilled shipping. This is due to the fact that the delivery pattern of goods within the shipping ship is still not optimal. One solution is to optimize the space and layout of the items in the fleet. Genetic algorithm is a method of solving solutions that can be used to solve container loading problems with non-linear and heterogeneous data items, inspired by the theory of evolution. Genetic algorithm can provide optimization solutions for item preparation patterns that practice natural selection methods to get selected individuals that contain the best genes. Then the data will be repeated for several generations and yield the best array pattern output or achieve the target, in this case the minimum free space.