Kurniawan, Dwi and Raja, Andi Cakravastia and Suprayogi, Suprayogi and Halim, Abdul Hakim (2018) A Flow Shop Batch Scheduling and Operator Assignment Model with Learning-Forgetting and Fatigue-Recovery Effects to Minimize Total Actual Flow Time. Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2018.

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Abstract

This paper discusses integrated problems of batch scheduling and operator assignment in flow shops that simultaneously consider the processes of learning, forgetting, fatigue and its recovery experienced by operators. The problem is expressed as a mathematical model, and the objective of the model is to minimize total actual flow time, where the decision variables are operator assignment to each machine, the number of batches, batch sizes and the schedule of the resulting batches. The proposed algorithm solves the problem by trying different numbers of batches, starting from one until the number of batches leading to the best objective function value. Numerical examples show that learning rate, fatigue rate, recovery rate and fatigue alleviation proportion affect the number of batch, batch sizes and total actual flow time in optimal solutions. Keywords: Batch scheduling, operator assignment, learning-forgetting, fatigue-recovery, actual flow time.

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