Vehicle routing problem with Time Windows is determined each vehicle route in order to minimize the transportation costs. All delivery points in geography have various time restriction in camparision with the basic Vehicle routing problem. Vechicle routing problem with Time Windows is known to be NP-Hard, and it needs a lot of computing time to get the optimal solution, so that heuristics are more frequently developed than optimal algorithms. This study aims to develop a heuristic method which combines guided local search with a Tabu Search in order to minimize the transportation costs for the vehicle routing assignment and uses ILOG programming library to solve. The computational tests were performed using the benchmark problems.

This paper studies on the quality problem for the Reley using the 6 sigma process. The application of 6 sigma process suggested reliable and valuable statistical data for the quality of the Relay at the production line. In the measurement step in 6 sigma process, the FMEA(filure mode effect analysis) were used for the detection of problem source. The application of 6 sigma process gave the improving method for the quality of the Relay. Consequently the 6 sigma process was proved very effective for the quality problem reducing at the production line.