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A Heuristic Approach for Single Machine with Different Due Dates and Setup Times to Minimize Total Earliness and Tardiness

In order to minimize total earliness and tardiness with different due dates and setup times, the problem of scheduling a given number of jobs on a single is frequently discussed in the industrial field. In this paper, we proposes an efficient genetic algorithm designed to address scheduling issues by minimizing the sum of early and tardy production in a single machine while considering at once the arrival time and delivery. In order to validate the effectiveness of the proposed genetic algorithm, a small-scale problem is compared against the optimal solution of the enumeration method, while a largescale problem is compared against the solution of the Tabu search, an intelligent search technique.