Abstract
To maintain good public health, it is necessary that the solid waste collection service should be maintained in good condition. In waste collection services, collector's schedule, especially distributing the works equally to each collector, is very important from the viewpoint of collectors' morale and experience. However, it's difficult to compose collector teams so that they can collect wastes efficiently, because there are many patterns of composing teams and a variety of restrictions.
The first step of this study is an investigation into the problem by interviewing and collecting records at the waste collection office in city ‘A’. The next step is the development of a scheduling method which considers the Collector Scheduling Problem as a Multi-Objective Optimization Problem. The method can solve the problem by finding Pareto Optimal Solution, by means of the Genetic Algorithms. The last step is a demonstration that the method can provide a good solution as shown by applying it to the case of city ‘A’.
