Heuristic to Minimize the Number of Tardy Jobs for 2-Stages Assembly Scheduling Problem
Keywords:
Assembly Scheduling, Tardy Jobs, HeuristicAbstract
This research considers the assembly scheduling problem for a production process that consists of n jobs. The assembly system consists of 2 stages. In the first stage, there are m independent single machines that produce the components of a job, and when the components are finished, they are assembled into the work piece in the second stage. The research objective is to minimize the number of tardy jobs. The mathematical model is constructed to represent the problem characteristics and determine the optimal solution. Then, the solution procedure called heuristic Nattakorn, Witid, Tanawat, and Anot (NWTA) is developed based on the dispatching rule and the Moore-Hodgson Algorithm concept for determining a proper solution by considering tardy jobs and finding new positions to improve a production schedule. To evaluate the performance of the proposed heuristic, the solution obtained from the heuristic is compared with the optimal solution determined by the mathematical model and the solution found from the genetic algorithm. From the results of 30 problems, the heuristic NWTA can provide good solutions in a reasonable amount of time.
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