American Journal of Applied Sciences

Development of Priority Oriented Scheduling Method to Increase the Reliability of Manufacturing Systems

Seyedehfarzaneh Nojabaei, Z. Leman, S. H. Tang and S. Sulaiman

DOI : 10.3844/ajassp.2012.1435.1442

American Journal of Applied Sciences

Volume 9, Issue 9

Pages 1435-1442


Scheduling occurs in every organization without considering the nature of its activities. In this regard, numerous scholars have attempted to schedule via divergent methods including classical scheduling, genetic algorithm, neural network and fuzzy logic and so on. Studies in manufacturing scheduling mostly deal with priority rules without any consideration of the system states. An appropriate scheduling leads to significant enhancement of fairness in job scheduling. The term fairness can be transformed into a specific selection of job weights. There is no method of scheduling in which priority, time action (duration) and time stamp of jobs have simultaneously been considered. But the proposed method of scheduling can enhance the efficiency and reliability of manufacturing systems. To fulfill this target, first and foremost, the normalize method should be performed. This method allows data (time stamp, time action, priority) of jobs on different scales to be compared by bringing them to a common scale. Secondly, the jobs should be arranged based on three criteria which are priority, time action and time stamp. This sorting algorithm is programmed via MATLAB Distributed Computing Server (DCS) software. Eventually, to evaluate the proposed method of scheduling, simulation is operated. The simulated algorithm shows that applying the proposed method of scheduling increases the efficiency of simulated scheduler in comparison with applying the common method of scheduling. Besides the mentioned simulated algorithm, there is a mathematical proof to show the enhancement of reliability."


© 2012 Seyedehfarzaneh Nojabaei, Z. Leman, S. H. Tang and S. Sulaiman. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.