Abstract
In a flow shop scheduling problem, no-wait processing is becoming an important subject where the subsequent operations are performed with no-waiting time in between. In addition, it is important to estimate the schedule performance in terms of given criteria. This enables managers to conduct a reliable logistic planning while estimating robust job completion times. In this study, six heuristic algorithms are used to solve a no-wait two stage flexible flow shop with minimising makespan. Furthermore, an adaptive neuro fuzzy inference system (ANFIS) with neural network and fuzzy theory is applied for estimating the makespan. The robustness of the proposed ANFIS using the six heuristic scheduling algorithms is testified by comparing its performance with that of the actual schedule performance. This is followed by concluding remarks and potential area for further researches.
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