Stochastic Flowshop Scheduling Model for Two Machines
In this paper, we have developed a new heuristic algorithm for n jobs two machines (n*2) flowshop scheduling problem in which processing times is associated with their respective probabilities. The objective of this paper is to find the optimal sequence of jobs to minimize the makespan (total completion times of jobs) and the total mean weighted flow time of jobs. The transportation times of the first machine to second machine are also being considered. Further, jobs are attached to their weight to indicate their relative importance. We also calculated the utilization times of machines. The algorithm is justified by the numerical illustration and Gantt chart is generated to verify the effectiveness of the proposed approaches. The proposed heuristic algorithm is easy to understand and provide an important tool for decision makers.
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