Abstract
The purpose of this study is to construct a new algorithm using Genetic Algorithm (GA) which can assist decision makers concerned with resource allocation and manpower scheduling problems.
There are many methods for solving a variety of manpower scheduling problems. Depending upon the requirements involved in a problem, they can be classified into two basic types; one deals with the minimization of the project duration time with a constraint on the total availability of certain key resources, while the other deals with the minimization of the peak of used resources or “leveling” resource demand with a constraint on the total project duration time. In practice, the requirements are becoming so complicated and marginal that it is sometimes practically impossible to solve the problem by traditional methods. In this paper, we developed a systematic scheduling procedure by use of GA, which is very general in that the procedure can take multiple constrains as well as various forms of goal into account. It is demonstrated in the model testings that the proposed procedure can improve the disadvantages of the existing methods compared.
