Production scheduling is an element of operational research that relies on combinational optimization explained by discrete methods. This extensive area covers diverse variety of problems as; vehicle routing problem, bin packing problem and job priority. With the intention of solving these problems, operational research applies two main principles: exact methods which give the complete finest solution but resolve merely small sized problems, and approximate methods which give only good solution

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... except resolve near real life sized problem. The next category provides various methods separated into-problem dedicated methods entitled heuristics and general method entitled metaheuristics. Several of these metaheuristic methods are guiding the literature of production scheduling for past two decade, as; Genetic Algorithm, Neural Network, and Fuzzy Logic which will be discuss in this paper. This evaluation shows that there are simply few research works which compare heuristic techniques on scheduling problem.